Claude Code tutorial and guide (beginner, intermediate, advanced).

Want to go even deeper on Claude Code with hands-on help? Join my 8 day AI Coding Accelerator: https://maven.com/alpha-clarit....y/ship-with-claude-c (use code YOUTUBE for $300 off)

AI coding accelerator Scholarship Application Form: https://forms.gle/tAhxqD8TTFNrfJAj6

My complete system for starting every Claude Code project: https://youtu.be/aQvpqlSiUIQ

Want to learn even more? Check out these lightning lessons
Claude Code 101: https://maven.com/p/c513ad/cla....ude-code-101-11-mont
Claude Code 201: Skills, Plugins, MCP: https://maven.com/p/2ab172/cla....ude-code-201-skills-
——

Six months ago, I was using Claude Code all wrong. Today, I'm a Claude Code power user: I can run multiple Claude Code instances simultaneously and build a week's worth of features in just hours.

In this comprehensive guide, I share 36 specific lessons that transformed me from a Claude Code beginner to pro. These are battle-tested techniques I use daily to ship real projects faster than ever before.

Whether you're new to Claude Code or consider yourself a power user, I guarantee you'll learn something from this video that will level up your development workflow with Claude Code.

🎯 What You'll Learn:
✅ Level 1 - Beginner (Foundations):
The claude.md file that puts you ahead of 99% of users
Essential commands and bash mode mastery
Screenshot debugging and test-driven development
Message queue for non-stop productivity

✅ Level 2 - Intermediate (Workflow Enhancements):
Planning modes and think keywords for complex problems
Using Claude for research, documentation, and changelogs
GitHub Actions integration for automatic PR reviews
The product manager mindset that changes everything

✅ Level 3 - Master (Advanced Techniques):
Parallel planning with multiple solution exploration
Running multiple Claude instances with Git worktrees
Custom commands and specialized subagents
MCP servers for database and third-party integrations

🔔 ABOUT AI WITH AVTHAR
Learn how to build apps with AI coding tools, even if you're new to coding. Subscribe to learn about the best AI coding tools and how to get the most out of them. I'm Avthar Sewrathan, and I'm obsessed with AI coding tools. With a decade of tech experience and background as a startup founder and AI Product Manager, I bring you practical insights on tools like ChatGPT, Claude Code, Cursor, Replit, v0, and more.

FOLLOW AVTHAR:
YOUTUBE: https://www.youtube.com/@avtharai
X (TWITTER): https://x.com/avthars
TIKTOK: https://www.tiktok.com/@vibecoder.com

TIMESTAMPS
00:00 Claude Code: The New King of AI Coding?
02:14 Level 1: Beginner
02:29 Installation
03:37 Todo lists
04:16 Essential Commands
06:35 Debugging with Claude Code
07:57 Claude.md file
09:33 Message Queue
09:57 Markdown file prompts
10:33 Level 2: Intermediate
10:51 Planning Modes
12:10 Thinking Modes
12:58 More than Code: Research, Documents, Changelogs
15:16 Github Actions Integration
15:59 Mindset for Success with Claude Code
17:23 Level 3: Master
17:48 Parallel Subagents
18:16 Multiple Claudes (aka multi-clauding) with Git worktrees
19:30 Custom Slash Commands
20:50 Custom Subagents
22:50 MCP Server Usage
24:05 Cost and Value for Money
25:56 Conclusion: What's next?

🔥Agentic AI Training Course - Master AI Agents: https://www.edureka.co/agentic-ai-training-course
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Explore the future of artificial intelligence with Agentic AI! In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2026. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. You’ll discover 5 powerful secrets behind Agentic AI—from multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, you’ll understand how Agentic AI is transforming industries and why it’s the future of intelligent systems.

Join us as we discuss the latest trends, innovations, and predictions for Agentic AI in 2026. Whether you're an AI enthusiast, a business leader, or simply curious about the future of technology, this video is for you. Stay ahead of the curve and discover what's next for Agentic AI!

00:00:00 Introduction
00:17:13 What is Agentic AI?
00:36:19 Agentic AI vs Generative AI
00:46:07 Agentic AI Roadmap
00:52:18 Introduction to Artificial Intelligence
00:58:37 Introduction to Deep Learning
02:28:29 Artificial Neural Network
03:08:09 Transformers Explained Using Generative AI
03:09:37 Transformers Neural Networks Explained
03:21:52 What are Large Language Models?
03:38:17 LLM vs SLM
03:41:59 What is LangChain?
03:59:35 What is RAG?
04:22:07 LLMOps: The Future of AI Development
04:29:57 Prompt Engineering
04:42:41 Natural Language Processing (NLP) & Text Mining using NLTK
05:22:21 KNN Algorithm using Python
05:45:23 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
05:49:47 DeepSeek vs OpenAI: Who Wins the AI Race?
06:02:06 Deep Learning Interview Questions

✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
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🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

- - - - - - - - - - - - - -

What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations.

What are the prerequisites for this Agentic AI Training Course?
In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.

Who should take this AI Agents Training Course?
The Agentic AI online Training Course is ideal for AI enthusiasts, developers, and professionals looking to build autonomous AI agents. It is best suited for LLM Engineers, Generative AI Engineers, AI Research scientists, AI/ML practitioners, and freshers who want to leverage Agentic AI for automation and decision-making.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823(toll-free).

#agenticai #aiagents #agenticaicourse #generativeai

🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=StatisticsForDataScience-Lv0xcdeXaGU&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=StatisticsForDataScience-Lv0xcdeXaGU&utm_medium=DescriptionFirstFold&utm_source=youtube

Statistics is a branch of applied mathematics, that is the study and manipulation of data, including ways to gather, review, analyze, and draw conclusions. This is why statistics still holds a very important place in today’s data science and business intelligence world. In this statistics tutorial, you will learn all about statistics, including, percentile in statistics, what is normal distribution, Central Limit Theorem, and probability density function. Start learning the statistics tutorial now.


Statistics is primarily an applied branch of mathematics, which tries to make sense of observations in the real world. Statistics is generally regarded as one of the pillars of data science.

➡️ Data scientist Masters Program
What are the course objectives?
This course will enable you to:
1. Gain a foundational understanding of business analytics
2. Install R, R-studio, and workspace setup. You will also learn about the various R packages
3. Master the R programming and understand how various statements are executed in R
4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R
5. Define, understand and use the various apply functions and DPLYP functions
6. Understand and use the various graphics in R for data visualization
7. Gain a basic understanding of the various statistical concepts
8. Understand and use the hypothesis testing method to drive business decisions
9. Understand and use linear, non-linear regression models, and classification techniques for data analysis
10. Learn and use the various association rules and Apriori algorithm
11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training, especially for the following professionals:
IT professionals looking for a career switch into data science and analytics
Software developers looking for a career switch into data science and analytics
Professionals working in data and business analytics
Graduates looking to build a career in analytics and data science
Anyone with a genuine interest in the data science field
Experienced professionals who would like to harness data science in their fields

Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training, especially for the following professionals:
1. IT professionals looking for a career switch into data science and analytics
2. Software developers looking for a career switch into data science and analytics
3. Professionals working in data and business analytics
4. Graduates looking to build a career in analytics and data science
5. Anyone with a genuine interest in the data science field
6. Experienced professionals who would like to harness data science in their fields

🔥 Learn More: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=StatisticsForDataScience&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Welcome to Micromouse, the fastest maze-solving competition on Earth. Join Onshape’s community of over 3 million CAD users by creating a free account here: https://Onshape.pro/Veritasium.

▀▀▀
A huge thank you to Peter Harrison for all of his help introducing us to the world of Micromouse – check out https://ukmars.org & https://micromouseonline.com.
Thank you to David Otten, APEC, and the All-Japan Micromouse Competition for having us.
Thank you to Juing-Hei (https://www.youtube.com/@suhu9379) & Derek Hall (https://www.youtube.com/@MicroMouse) for usage of their micromouse videos.
Thank you to John McBride, Yusaku Kanagawa, and Katie Barnshaw for their help with Japanese translations.

▀▀▀
References:
Claude Shannon Demonstrates Machine Learning, AT&T Tech Channel Archive - https://ve42.co/ClaudeShannon
Mighty mouse, MIT News Magazine - https://ve42.co/MightyMouse
History, Micromouse Online Blog - https://ve42.co/MMHistory
Christiansen, D. (1977). Spectral lines: Announcing the Amazing Micro-Mouse Maze Contest. IEEE Spectrum, vol. 14, no. 5, pp. 27-27 - https://ve42.co/Christiansen1977
Allan, R. (1979). Microprocessors: The amazing micromice: See how they won: Probing the innards of the smartest and fastest entries in the Amazing Micro-Mouse Maze Contest. IEEE Spectrum, vol. 16, no. 9, pp. 62-65, - https://ve42.co/Allan1979
1977-79 – “MOONLIGHT SPECIAL” Battelle Inst. (American), CyberNetic Zoo - https://ve42.co/MoonlightSpecial
Christiansen, D. (2014). The Amazing MicroMouse Roars On. Spectral Lines - https://ve42.co/Christiansen2014
1986 - MicroMouse history, competition & how it got started in the USA, via YouTube - https://ve42.co/MMArchiveYT
The first World Micromouse Contest in Tsubuka, Japan, August 1985 [1/2] by TKsTclip via YouTube - https://ve42.co/MMTsukubaYT
IEEE. (2018). Micromouse Competition Rules - https://ve42.co/IEEERules
Tondra, D. (2004). The Inception of Chedda: A detailed design and analysis of micromouse. University of Nevada - https://ve42.co/Tondra2004
Braunl, T. (1999). Research relevance of mobile robot competitions. IEEE Robotics & Automation Magazine, vol. 6, no. 4, pp. 32-37 - https://ve42.co/Braunl1999
All Japan Micromouse 2017 by Peter Harrison, Micromouse Online - https://ve42.co/RedComet
Winning record of the national competition micromouse (half size) competition. mm3sakusya @ wiki (Google translated from Japanese) - https://ve42.co/JapanFinishTimes
The Fosbury Flop—A Game-Changing Technique, Smithsonian Magazine - https://ve42.co/FosburyFlop
Gold medal winning heights in the Men's and Women's high jump at the Summer Olympics from 1896 to 2020, Statistica - https://ve42.co/HighJump
Zhang, H., Wang, Y., Wang, Y., & Soon, P. L. (2016). Design and realization of two-wheel micro-mouse diagonal dashing. Journal of Intelligent & Fuzzy Systems, 31(4), 2299-2306. - https://ve42.co/Zhang2016
Micromouse Turn List, Keri’s Lab - https://ve42.co/MMTurns
Green Ye via YouTube - https://ve42.co/Greenye
Classic Micromouse, Excel 9a. Demonstrate fan suction, by TzongYong Khiew via YouTube - https://ve42.co/MMFanYT
Vacuum Micromouse by Eliot, HACKADAY - https://ve42.co/MMVacuum

▀▀▀
Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi.

▀▀▀
Written by Tom Lum and Emily Zhang
Edited by Trenton Oliver
Animated by Ivy Tello
Coordinated by Emily Zhang
Filmed by Yusaku Kanagawa, Emily Zhang, and Derek Muller
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound
Thumbnail by Ren Hurley and Ignat Berbeci
References by Katie Barnshaw
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

▶️ Intellipaat's Cloud Computing & DevOps - Job Guarantee Program: https://intellipaat.com/cloud-....computing-devops-job

This video on "Azure Administrator AZ-104 Full Course" will help you understand the concept of cloud computing. In this video we are going to start with an Introduction to Microsoft Azure, then we would like to explain the key concepts of Microsoft Azure, Different types of Subscriptions, What is Azure Portal?, Various steps for the creation of a resource group. Learn about the Management Groups and Cost Management in Azure. Moreover, we are going to discuss Azure Policy, User Account, Introduction to Azure VM, Planning Checklist & Pricing in Azure, What is Virtual Machine Sizing, Hands on Azure VM, Learn about Availability Zones & Sets, Networking In Azure, What are Azure Storage & Services?, Types of Storage Account and also know about the Blob Container & Performance tiers.

🔵 Introduction to Microsoft Azure
Similar to how Google has its Google Cloud and Amazon has its Amazon Web Service, Azure is Microsoft's cloud platform. Generally speaking, it is a platform that enables us to access Microsoft's resources. For instance, setting up a sizable server will take a substantial expenditure, work, physical space, and other resources. Microsoft Azure comes to our aid in these circumstances. To make our job easier, it will provide us with virtual computers, quick data processing, analytical and monitoring tools, and other things.

🔵 Why Learn Azure?
Azure offers thorough cloud infrastructure integration between data centers. The entire infrastructure of small and medium-sized businesses can therefore be hosted in the cloud. By efficiently scaling and managing hosted assets, you can lower IT costs in your business as a certified Azure professional. Hence this is the reason why we use Azure in the IT world.

👉Following topics are covered in this video:

00:00:00 - Introduction to Azure
00:09:23 - Key Concepts of Microsoft Azure
00:35:09 - Different types of Subscriptions
00:41:18 - How to Create Free Trial Subscription
01:47:33 - Terminologies of Azure
01:53:52 - Creation of Resource Group
02:14:30 - Management Groups
02:21:03 - Azure Subscriptions
02:30:25 - Resource Tags
02:37:03 - Cost Management in Azure
02:52:11 - Azure Policy
03:05:02 - Users and Groups
03:27:43 - Role-Based Access Control
03:45:11 - Introduction to Azure Virtual Machine
04:00:26 - Pricing and Sizing of Virtual Machine
04:26:43 - Hands on Azure Virtual Machine
05:44:06 - Virtual Machine Availability
06:21:00 - Virtual Machine Scale Set
06:52:55 - Azure Storage
07:41:31 - Blob Storage

🔵 Intellipaat Training courses: https://intellipaat.com/
Intellipaat is a global online professional training provider. We are offering some of the most updated, industry-designed certification training programs which includes courses in Big Data, Data Science, Artificial Intelligence and 150 other top trending technologies.
We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.

#AzureAdministrator #AZ104 #AzureCourse #Intellipaat

📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

----------------------------
🔵 Intellipaat Edge
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Please write us to [email protected] or call us at: +91-7847955955

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( ** Apache Spark Training - https://www.edureka.co/apache-....spark-scala-certific ** )
This Edureka Spark Architecture Tutorial video will help you to understand the Architecture of Spark in depth. It includes an example where we will create an application in Spark Shell using Scala. It will also take you through the Spark Web UI, DAG and Event Timeline of the executed tasks.

The following topics are covered in this video:

1. Apache Spark & Its features
2. Spark Eco-system
3. Resilient Distributed Dataset(RDD)
4. Spark Architecture
5. Word count example Demo using Scala.

Check our complete Apache Spark and Scala playlist here: https://goo.gl/ViRJ2K

--------------------------------------------------------------------------------------------------------
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
-------------------------------------------------------------------------------------------------------

#ApacheSparkTutorial #SparkArchitecture #Edureka

How it Works?

1. This is a 4 Week Instructor led Online Course, 32 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course

This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path.

After completing the Apache Spark and Scala training, you will be able to:

1) Understand Scala and its implementation
2) Master the concepts of Traits and OOPS in Scala programming
3) Install Spark and implement Spark operations on Spark Shell
4) Understand the role of Spark RDD
5) Implement Spark applications on YARN (Hadoop)
6) Learn Spark Streaming API
7) Implement machine learning algorithms in Spark MLlib API
8) Analyze Hive and Spark SQL architecture
9) Understand Spark GraphX API and implement graph algorithms
10) Implement Broadcast variable and Accumulators for performance tuning
11) Spark Real-time Projects

- - - - - - - - - - - - - -

Who should go for this Course?

This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for:

1. Big Data enthusiasts
2. Software Architects, Engineers and Developers
3. Data Scientists and Analytics professionals

- - - - - - - - - - - - - -

Why learn Apache Spark?

In this era of ever-growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however, is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightning fast big data analysis platforms.
The following Edureka blogs will help you understand the significance of Spark training:

5 Reasons to Learn Spark: https://goo.gl/7nMcS0
Apache Spark with Hadoop, Why it matters: https://goo.gl/I2MCeP

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

🔥Edureka Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.

🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

------------------------------------Edureka Online Training and Certification---------------------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

-----------------------------------------Edureka PGP Courses---------------------------------------------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1

-----------------------------------------------------------------------------------------------------------

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LinkedIn: https://www.linkedin.com/company/edureka
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#Edureka #DataScienceEdureka #MLTreeBasedModelsPython #MLForBeginners #ML #Python #DataScience #DataScienceUsingPython #learnDataScience #withMe
-------------------------------------

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods

----------------------

Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

--------------------------------------

For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) :https://www.edureka.co/microso....ft-certified-azure-s
The "Azure Architect Full Course" provides a thorough overview of essential Azure topics, including computing, networking, storage, security, and more. This Full Course is designed for aspiring Azure architects and provides practical insights into building scalable and secure solutions on the Microsoft Azure cloud platform.
00:00:00 Introduction
00:02:53 What is Azure?
00:14:07 Quiz
00:14:29 How To Create Azure Free Account?
00:20:07 Introduction to Azure Portal
00:35:07 Microsoft Azure Demo
01:09:04 Azure Virtual Machine
01:30:50 Quiz
01:31:14 Microsoft Azure Storage Overview
02:14:21 Azure Active Directory
02:41:18 Azure Load Balancer
03:14:44 Quiz
03:15:06 Azure Firewall
03:44:45 Quiz
03:45:06 Azure App Service
04:02:31 Quiz
04:03:03 Azure Database Services
04:33:49 Azure Data Factory
05:05:14 Quiz
05:05:37 Azure Databricks
05:39:02 Quiz
05:39:24 Azure Data Lake
05:54:05 Quiz
05:54:28 Azure Machine Learning
06:20:54 Introduction To Azure Kubernetes Service (AKS)
07:10:40 ARM Templates
07:38:57 Introduction to Azure IoT
07:57:18 What is Azure Service Bus?
08:54:26 AI on Microsoft Azure
09:07:00 Azure Certifications
09:17:17 How to become an Azure Data Engineer?
09:41:50 Azure Interview Questions And Answers

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG


📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Gen AI Full Course video by Simplilearn will help you learn everything about Generative AI (Gen AI). The Gen AI full Course will begin with an in-depth exploration of generative artificial intelligence and its applications. It starts with an explanation of what Gen AI is, followed by the evolution of AI and a detailed roadmap for mastering generative AI. The course highlights future AI trends, top AI technologies, and career opportunities in the field. It includes hands-on machine learning projects for practice and tutorials on LangChain, deep learning, and advanced AI concepts like transformers, LSTMs, and recurrent neural networks. Additional topics include OpenAI tools such as ChatGPT, SearchGPT, and Sora, along with benchmarking large language models (LLMs) and generative adversarial networks. Reinforcement learning and machine learning tutorials are also covered, culminating with interview questions to prepare learners for AI-related roles.

The Full course covers the following topics:

00:00:00 Introduction to Gen AI Full Course
00:00:45 What is Gen AI
00:11:17 Evolution of AI
00:21:39 Roadmap Gen AI
00:37:18 AI Trends for the Fututre
00:37:59 Top 10 AI Technologies
00:47:50 AI Carrers
00:55:05 ML Projects For Practice
01:15:06 Wht is Langchain
01:34:03 Deep Learning Tutorial For Beginners
01:49:27 Open ai chatgpt o1 model
01:57:44 Search GPT
02:08:40 Openai sora
02:17:33 LLM Benchmarkeing
03:02:10 Generative Adversarial Tutorial
03:08:22 LSTM
03:09:23 Transformers in AI
03:17:04 Introduction to LLM
04:18:17 What is Machine Learning
05:14:49 Machine Learning Tutorial
07:20:12 Reinforcement Learning
08:49:51 Recurrent Neural Network
09:09:42 CHatgpt analyse
09:21:49 MAchine Learning Interview questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=3eT5gjnNgUI&utm_medium=Description&utm_source=Youtube

💥 We’re launching the Modern Route-Full Stack Generative & Agentic AI Batch 💥
📅 Starts: 15th March 2026
⏰ Time: 8 PM – 11 PM IST
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How is a beginner supposed to get started learning machine learning? I'm going to describe a free 3 month curriculum to help you go from beginner to well-versed in modern machine learning. Transformers, Diffusers, Large Language Models, and dozens of new ML Ops tools have been released the past few years! The field of ML has changed so much and there are so many new tools to learn. Using the help of AI services, we can learn a lot faster than usual. This learning plan is something I'd create for myself if I were to get started today, but I'm going to open source it for you guys. This curriculum will cover all the math concepts, machine learning, deep learning, ML Ops, and tons of cool projects to get you up to speed with the field as fast as possible. If anyone asks how to best get started with machine learning, direct them to this video!

Curriculum from this video:
https://github.com/llSourcell/LearnML

Subscribe! And like. And comment. That's what keeps me going.

Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com/sirajology

Curriculum Links
-----------------------------------------------------
Month 1: Machine Learning

Week 1: Python Fundamentals - https://allendowney.github.io/DSIRP/index.html

Week 2: Math of Machine Learning -
http://www.xaktly.com/XMathMain.html

Week 3: Data Analysis -
https://www.kaggle.com/learn

Week 4: Machine Learning Techniques -
https://github.com/ipython-books/cookbook-2nd

Month 2: Deep Learning

Week 1: Neural Networks
http://d2l.ai/

Week 2: Transformers
https://huggingface.co/course/chapter1/1

Week 3: Diffusers
https://www.fast.ai/posts/part2-2022-preview.html

Week 4: Deep Reinforcement Learning
https://simoninithomas.github.io/deep-rl-course/

Month 3: Machine Learning Operations

Week 1: Design -
https://madewithml.com/

Week 2: Development -
https://fullstackdeeplearning.com/course/2022/

Week 3: Production -
https://github.com/DataTalksClub/mlops-zoomcamp

Week 4: Data Engineering -
https://github.com/DataTalksCl....ub/data-engineering-

This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 will explain what ChatGPT is all about. In this ChatGPT tutorial, you will learn about how ChatGPT works and the language model that ChatGPT uses.

ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou

⏩ Edureka ChatGPT Explained Playlist: http://bit.ly/3HGRy3G

#ChatGPTCrashCourse #edureka #chatgptexplained #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Business Intelligence Masters Program: http://bit.ly/3UZPqJz

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

🔵 About Edureka ChatGPT Certification Training Course

Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.

🔵 Why take up the Online ChatGPT Certification Course?

Interested individuals can opt for the Online ChatGPT Certification course as this course provides:

Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.

Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.

Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.

Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.

🔵 Who should take up this ChatGPT Certification Course?

The ChatGPT Certification Course is suitable for a wide range of individuals, including:

AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.

Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.

Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00:00 Introduction
00:00:18 Agenda
00:02:35 Introduction to NLP
00:04:08 Ways to process Text Data
00:05:55 Recurrent Neutrals Networks
00:16:06 Long Short-term Memory
00:17:17 LSTM Use Cases
00:18:15 Name Entity Recognition
00:20:55 Sentiment Analysis
00:22:50 Machine Translation
00:24:19 Hands-on

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
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What is data structure?
The data structure aims to store the elements in a way that allows it to perform a specified activity. It requires the least amount of memory capacity, allows for faster execution, and aids in data organization to improve accessibility. Data structures are the most convenient way to handle, retrieve, store, and organize data.

What is an Algorithm?
The algorithm is a step-by-step procedure or set of instructions to be followed to perform certain tasks.

What is a pointer?
A pointer is a variable that holds the address of another variable to be executed which can be of data type int, char, array, etc…

What is an Array?
An array is a homogenous collection of elements of the same data type; That means similar types of elements are stored under one name called an array name. And also the array of elements, stored in a consecutive block of memory.

What is a linked list?
A linked List is a linear data structure consisting of nodes. Each node in a linked list is divided into two sections that hold data and the address of the successive node, stored at the random address in the memory.

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People claim that 70-80% of household dust is dead skin, but is it true?
Thanks to Google for sponsoring this video! Learn more about Search here: https://www.google.com/search/howsearchworks/

Special thanks to J.M.E.H van Bronswijk, author of 'House Dust Biology'. We exchanged emails to make sure I got my facts straight for this video. Below is an excerpt from her email to me, responding to my claims that start with a dash:

- Around half of airborne dust particles under 100um are skin scales
This is true for climates, regions and seasons where people live mostly indoors.
The 1 to 2 g of skin scales shed each 24 hours will end up in places where people are present (and rub their skin or have textile moving over the skin).
You can also look at it from a different angle: What else has the same size and could contribute? That will usually be pollen from outdoor sources, also depending on season, region and climate, as well as the ventilation regime of the building.
However, taken as the median value over a whole year, I consider your statement correct for regions with a temperate climate.

- 53% of dust particles vacuumed from a mattress were found to be skin scales
It depends a little on the type of mattress. For polyether mattresses the amount may even be larger.
For mattresses made of natural material it could be less since the mattress-material will also give off small particles.

- larger particles consist mostly of fibers, eg. cotton, paper, wool, synthetics
That's true .. including bread crumbs ..... 🙂

- skin scales seem to form a larger fraction of dust where we spend more time, e.g. in or near bed.
..... and on the couch used to view television or be active in gaming.
It has to do with the constant production of skin scales over the 24 hours.

- skin scales form a smaller fraction of dust if there are significant other sources, e.g. carpeting, dirt from outside etc.
Yes, everyting you walk on with your shoes or that recieves dirt from the outside with other means, will have a lessr percentage of human skin scales.
However, do not forget the skin scales of pets that will also be an active allergen for many people, and a food source for house dust mites.

Information on dust particle size ©ISO. This material is adapted from ISO 7708:1995, with permission of the American National Standards Institute (ANSI) on behalf of the International Organization for Standardization. All rights reserved.

Research and Writing by AJ Fillo and Derek Muller
Editing, Audio Mix & Master, and Computer animations by Jonny Hyman
Dust and character animation by Ivy Tello
Filming by Raquel Nuno
Thumbnail by Fictionalhead https://www.youtube.com/fictionalhead

Intro Music composed by Jonny Hyman
Additional Music from Epidemic Sound: Colored Spirals, Observations

Top Christmas Songs of All Time 🎅🏼 Best Christmas Music Playlist

🎄 Immerse yourself in the joyful and spirited atmosphere of Christmas as we present a carefully curated selection of the best Christmas songs from various eras.

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🎅 Experience the magic of the season with melodies that have stood the test of time and continue to bring joy to hearts around the world. From traditional carols to contemporary hits, our compilation captures the essence of Christmas, making it a memorable and heartwarming experience for everyone.

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👉 Merry Christmas to all the music lovers. This playlist is perfect for setting the mood for the holiday season and includes all the Christmas songs you know and love. Enjoy!
May the magic of Christmas fill your heart with warmth and love. Merry Christmas!

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