🔥🔥🔥Intellipaat Azure Databricks Training: https://intellipaat.com/spark-master-course/
👉In this Azure databricks tutorial you will learn what is Azure databricks for beginners, why we need Azure databricks,how does Azure databricks works, various databricks available and how to integrate Azure databricks with azure blob storage in detail.
#AzureDatabricksTutorial #AzureDatabricksforBeginners #MicrosoftAzureDatabricks #AzureDatabricks #LearnAzureDatabricks #WhatisAzureDatabricks #AzureDatabricksTraining #AzureDatabricksCourse #Intellipaat

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👉Following topics are covered in this Azure Databricks for Beginners video:
00:00 - azure databricks tutorial
01:07 - what is azure databricks for beginners
04:58 - why azure databricks
11:55 - how does azure databricks work?
12:17 - azure databricks utilities
14:12 - integrating azure databricks with azure blob storage
17:24 - hands on- integrating azure databricks with azure blob storage

📕Read complete Azure tutorial here: https://intellipaat.com/blog/t....utorial/microsoft-az

📔Interested to learn Azure still more? Please check similar what is Azure blog here: https://intellipaat.com/blog/w....hat-is-microsoft-azu

🔗Watch complete microsoft azure tutorials here: https://www.youtube.com/watch?v=HUy9wmyMCwk&list=PLVHgQku8Z936VlXitsTrgBhpdr79g2mlA

❓Are you looking for something more? Enroll in our Azure databricks training & certification course and become a certified Azure Professional (https://intellipaat.com/spark-master-course/). It is a 261 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this Azure databricks training video, Like us and Subscribe to our channel for more similar informative Microsoft cloud tutorial and Azure tutorials.
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----------------------------
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3. Job Assistance
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5. Industry Oriented Course ware
6. Life time free Course Upgrade
------------------------------
Who should watch this Microsoft Azure video?

If you want to learn Azure to become Solutions architects & programmers looking to build SaaS, PaaS and IaaS applications then this Intellipaat windows azure certification is for you. The Intellipaat Azure video is your first step to learn Azure. Since this Microsoft Azure certification video can be taken by anybody, so if you are a Network and Systems administrators or Graduates and professionals looking to upgrade the skills to cloud technologies or Storage and security admins, Virtualization & network engineers then you can also watch this Azure certification video.

Why should you opt for a Azure career?

If you want to fast-track your career then you should strongly consider Azure. Cloud computing and cloud infrastructure are today some of the most powerful shifts that are happening in organizations around the world that want to benefit from its strengths like low cost, instant availability and high reliability. The Intellipaat industry-designed Microsoft Azure training is for those looking to make a solid career in the Microsoft Azure domain and become a Microsoft Azure certified professional. The salaries for Azure professional are very good. Hence this Intellipaat azure video is your stepping stone to a successful career!
------------------------------
For more information:
Please write us to [email protected] or call us at: +91-7847955955

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🔵 Intellipaat Business Analyst Training: https://intellipaat.com/business-analyst-training/
In this business analyst video, you will learn what business analysis is, the Business Analytics process, the difference between business analysts and data analysts, Top tools in business analytics, various roles of business analysts in the organization, Risk management, CBAP Certification, and what are the top business analyst skills required in the organization, and lastly business analyst interview questions. This Business Analyst Tutorial For Beginners is a must-watch video for everyone who wishes to learn business analytics and make a career in it.

#BusinessAnalystTraining #BusinessAnalystFullCourse #BusinessAnalyst #BusinessAnalyticsTraining #BusinessAnalyticsCourse #Intellipaat

00:00 - Business Analyst Training
01:40 - What is Business Analysis?
02:02 - Business process Automation
03:08 - Competencies of Business Analyst
06:24 - Companies Based on Function
09:57 - The IT Project Structure for Professionals
11:54 - Pre-Project Activity
15:19 - What is Business Analysis?
16:19 - Why is Business Analysis important?
19:06 - Role of a Business Analyst
25:22 - Responsibilities of Business Analyst
28:46 - Project manager vs Business Analyst
36:00 - IIBA
39:24 - What is the Business Analysis Body of Knowledge?
42:25 - Structure of BABOK
45:45 - Knowledge Areas of BABOK
53:03 - Key Concepts of BABOK
56:10 - Software Development Life Cycle(SDLC)
59:30 - Requirement Analysis
01:04:59 - Planning & Monitoring
01:09:50 - Steps Involved in Planning & Monitoring
01:15:05 - Relationship Between Knowledge Areas
01:17:54 - Planning Stakeholder Engagement
01:21:07 - Planning the Business Analysis Approach
01:25:24 - Planning the Stakeholder Approach
01:30:48 - Planning Governance & Information Management
01:40:39 - Business Analysis Performance Improvements
01:46:10 - Elicitation & Collaboration
02:02:48 - Problem
02:07:34 - Types of Requirements gathering
02:57:42 - Risk Management
03:15:15 - Types of Risks
03:58:35 - What is the need for CBAP Certification?
04:02:01 - What is Business Analysis
04:09;09 - Why do we need Business Analysis?
04:12:11 - Types of Certifications for BA Professionals
04:12:27 - ECBA
04:14:58 - CCBA
04:17:42 - CBAP
04:21:00 - Business Analyst vs Data Analyst
04:33:33 - How to start a Career in Business Analytics
04:35:07 - Average Salary: Business Analyst
04:36:22 - Career Paths: Business Analyst
04:52:32 - Business Analysis Tools
04:54:52 - Responsibilities of a Business Analyst
05:02:36 - Is Business Analytics Right for You?
05:04:32 - Business Analysis Technical Concepts
05:20:43 - Water Fall Model
05:38:18 - BRD Template
05:40:35 - SRS Template
05:40:59 - Project Management
06:38:40 - Business Analyst Interview Questions and Answers

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If you’ve enjoyed this business Analytics Course, Like us and Subscribe to our channel for more similar informative business analyst course tutorials.
Got any questions about business analyst training? Ask us in the comment section below.

Intellipaat Edge
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🔵 Why should you watch this business analyst training for beginners video?

There is an immense requirement for business analyst professionals across industry verticals. The rate at which this business analysis domain is growing is amazing. A lot of organizations are looking for business analysts to take care of the business in general. So this business analyst tutorial will help you in understanding how to work with data. We are offering the top business analyst tutorial that can be watched by anybody to learn business analyst. Our business analyst tutorial has been created with extensive inputs from the industry to learn business analysts easily.

🔵 Who should watch this business analyst training tutorial?

If you want to learn business analyst to become fully proficient and expert in analyzing data, this Intellipaat explanation of business analyst is for you. This Intellipaat business analyst tutorial is your first step to learn business analyst. Since this business analyst video can be taken by anybody, if you are a Business professional, project manager, solution architects, developers, and system analyst, you can also watch this business analyst tutorial for beginners to take your skills to the next level.

For more information: Call our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free)

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It seems that not a day goes by without there being some news about generative AI that ranges from inspiring, to weird, to just plain terrifying. Unsurprisingly, the sheer volume of information has aspiring creators asking, "What's my place in an AI future?” This talk seeks to find a clear path through the noise. It presents an overview of what AI actually is in today's world, what it might look like in five years and how we can use it to make ourselves indispensable to future employers.

Speaker:
Shaun McCabe

Moderator:

For more information about Full Sail University visit our site: https://www.fullsail.edu/

Subscribe to Full Sail's YouTube channel and never miss a video: https://www.youtube.com/@fulls....ailuniversity?sub_co

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From Oscar and GRAMMY-winners, to animators, to creative directors and entrepreneurs, our Hall of Fame alumni have made significant contributions to their industries – as well as the Full Sail community. Every year, we celebrate their accomplishments through a weeklong event complete with educational panels, entertainment, and more.

Located in Winter Park, Florida, Full Sail University offers academic certificates, undergraduate programs, and graduate programs designed for the world of entertainment media and emerging technologies. Full Sail’s creative approach to education provides an immersive, fast-paced, and relevant learning experience that mirrors the workflow and collaboration found throughout today’s rapidly evolving industries.

#fullsailuniversity #fullsail #fullsailhof

🔥Edureka and NIT Warangal Post Graduate Program on AI and Machine Learning:
https://www.edureka.co/post-gr....aduate/machine-learn

This Edureka video on facial Recognition gives you a brief idea of how facial recognitions works and how it mimics the human brain functionality.
Here are the topics that are covered in this video:
How facial recognition imitates the human brain?
Uses of Facial Recognition

--------------------------------Edureka Training and Certifications --------------------------------

🟣 PG in Artificial Intelligence and Machine Learning with NIT Warangal: https://www.edureka.co/post-graduate/...

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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#edureka #facerecognition #facerecognitionedureka
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Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry grade projects.
----------------------------------------------

Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

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

PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance

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

Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

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

Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

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

Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada

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

Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.

For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.

🔹Check out our Playlist: http://bit.ly/2taym8X
🔹Blog Series: https://bit.ly/2PX5lIp
🔴Please do subscribe to our channel and hit the bell icon to never miss an update from us in the future: 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 Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q



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#Edureka #PythonEdureka #NaiveBayes #ClassificationAlgorithem #artificialIntelligenceEdureka #MachineLearningEdureka #howtolearnAIML #learnAIML #withMe

------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course,40 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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------------------------------

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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

🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=Live-11Sep2024GenAI&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=Live-11Sep2024GenAI&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=Live-11Sep2024GenAI&utm_medium=DescriptionFirstFold&utm_source=youtube
About the Webinar
Unlock the transformative power of artificial intelligence with our Applied Generative AI Specialization in partnership with Purdue University.

Join us on April 18th, 09:00 PM, for an exclusive insight into our Applied Generative AI Specialization. Discover the cutting-edge curriculum, hands-on projects, and unique features of this program designed to prepare you for success in developing and deploying AI-driven solutions.

👉Know more about the upcoming Live and Interactive Webinars here: https://sites.google.com/simplilearn.net/webinars/home?utm_campaign=Live-11Sep2024GenAI&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligence #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn

Topics Covered:

In this enlightening session, we will explore key components of our Applied AI Course, including:

✅ Foundational AI Concepts
✅ Developing AI Applications
✅ AI in Practice
✅ AI Governance
✅ Interactive Q&A Session

About Applied Generative AI Specialization

Master Generative AI with this cutting-edge program delivered collaboratively by Purdue University Online and Simplilearn. Explore concepts like prompt engineering, large language models, attention mechanisms, and LLM fine-tuning. Learn in-demand tools and shape the future of intelligent systems.

Key Features
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ 50+ hours of core curriculum delivered in live online classes by industry experts
✅ Build Generative AI-enabled applications through hands-on projects
✅ Live online masterclasses delivered by Purdue faculty and staff
✅ Gain exposure to ChatGPT, OpenAI, Hugging Face, DALL-E 2 and other prominent tools
✅ Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, and LLM fine-tuning
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals: Generative AI’ on the Microsoft Learn portal

Applied Gen AI Course Advantage
Gain a competitive edge with hands-on learning in the transformative arena of Generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning techniques, and LLM application development.

Applied Gen AI Course Details

Explore our Applied Generative AI program to deploy advanced techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, alongside tools like ChatGPT, DALL-E 2, OpenAI and Hugging Face. Develop LLM applications, fine-tuning skills, and explore governance principles.

Learning Path
✅ AGS: Program Induction
✅ AGS: Python Basics (Optional)
✅ AGS: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ AGS: Advanced Generative AI - Models and Architecture
✅ AGS: Advanced Generative AI - Building LLM Applications
✅ AGS: Advanced Generative AI - Image Generation Capabilities
✅ AGS: Generative AI Governance
Electives:
✅ AGS: Microsoft Azure AI Fundamentals - Generative AI
✅ AGS: Academic Masterclass

Skills Covered
✅ Python Programming
✅ Explainable AI
✅ Prompt Engineering
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Transformers
✅ LLM Architecture
✅ Attention Mechanism
✅ Langchain for Workflow Design
✅ GenAI Application Development
✅ LLM Fine Tuning
✅ LLM Benchmarking
✅ Stable Diffusion
✅ Generative AI Governance

Tools Covered

✅ Python
✅ ChatGPT
✅ OpenAI
✅ Hugging Face
✅ Bard
✅ Dall-E-2
✅ LangChain
✅ Gradio
✅ Chroma
✅ StreamLit

Industry Projects
✅ Project 1
Craft an AI Powered HR Assistant

✅ Project 2
Build a Creative Logo Designer

✅ Project 3
Conversational Chatbot for Document Interaction

👉Learn more at: https://www.simplilearn.com/applied-ai-course?utm_campaign=Live-11Sep2024GenAI&utm_medium=Description&utm_source=youtube

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

🔥Edureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
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.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s

00:00:00 Agenda
00:02:37 What is Natural Language Processing
00:04:00 Ways to Process Text Data
00:05:46 Recurrent Neural Networks
00:12:26 Long short term Memory
00:17:06 Long short term memory use cases
00:18:06 Real time applications of LSTM
00:18:09 Name Entity Recognition
00:20:45 Sentiment Analysis
00:22:40 Machine Translation
00:24:32 Hands-on

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#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q


How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.


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

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.


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

Facebook: https://www.facebook.com/edurekaIN/
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🔥Edureka Tensorflow Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models


📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models

#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining

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

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

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----------------------------------
How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

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

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In this video on PaLM 2 - Google's Next Generation Large Language Model,we will cover what is PaLM 2, what it can do, How was it built, and what's the next step. PaLM 2 is a cutting-edge large language model, which continues the tradition of Google's pioneering research in machine learning and responsible AI. Discover its development process and how it empowers generative AI capabilities and tools at Google, including Bard and the PaLM API.

below are the topics covered in this What is PaLM 2 video:

00:00 PaLM 2
01:50 Agenda
02:08 What is PaLM 2?
03:25 What can you do?
05:09 How was it built
06:10 What's Next?

PaLM 2 represents the latest iteration of a large language model developed by Google, building upon their extensive research in machine learning and responsible AI. It surpasses the capabilities of previous models, including PaLM, by demonstrating exceptional performance in various complex reasoning tasks such as code and math processing, classification, question answering, translation, multilingual proficiency, and natural language generation.

The advancements in PaLM 2 can be attributed to a combination of factors. Firstly, it leverages compute-optimal scaling, enabling efficient utilization of computational resources. Secondly, it benefits from an enhanced dataset mixture, incorporating diverse and comprehensive data sources. Lastly, improvements in model architecture contribute to its impressive performance.

PaLM 2's influence extends beyond its standalone use, as it serves as a foundation for other cutting-edge models like Med-PaLM 2 and Sec-PaLM. Moreover, it powers generative AI features and tools at Google, such as Bard.

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#PaLM2 #Bard #GoogleAI #WhatisPalm2 #AI #ML #ArtificialIntelligence #MachineLearning #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

✅ Enroll Now: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=20July2023PaLM2&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=20July2023PaLM2&utm_medium=Description&utm_source=youtube

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

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

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

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

Machine Learning es una de las ramas de la Inteligencia Artificial que está revolucionando el mundo, ChatGPT, GPT3, Dalle2, miniDalle, Stable Diffusion, MidJourney, alguna de estas IAs te sonarán pero seguro que aparte de saber que son IA, no sabes cómo aprenden. Échate unas risas y aprende conmigo qué es el ML y las 3 ramas principales del ML: Aprendizaje Supervisado, Aprendizaje No Supervisado y Aprendizaje por Refuerzo.

· Apoya este proyecto:
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#machinelearning #ias #inteligenciaartificial

This Gen AI tutorial for beginners is sort of like a Gen AI mini-course where a person can start learning the fundamentals of Gen AI and in the end, we build two end-to-end projects. Below is the outline of the exact topics that are covered.

Code for project 1: https://github.com/codebasics/....langchain/tree/main/
Code for project 2: https://github.com/codebasics/....langchain/tree/main/
LangChain source code: https://codebasics.io/resource....s/langchain-crash-co
Vector database article: https://www.pinecone.io/learn/vector-database/

00:00 Overview
00:29 What is Gen AI or Generative AI?
01:23 Gen AI evolution
10:00 What is LLM (Large Language Model)?
13:55 Embeddings, Vector Database
21:24 Retrieval Augmented Generation
28:16 Tooling for Gen AI
29:14 Langchain Fundamentals
1:14:49 End-to-End Project 1: Equity Research Tool
2:28:25 End-to-End Project 2: Retail Q&A Tool

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
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📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

🔥Post Graduate Program In Project Management: https://www.simplilearn.com/pgp-project-management-certification-training-course?utm_campaign=XVQTCrPcqTQ&utm_medium=DescriptionFF&utm_source=youtube
🔥PMP® Certification Training Course: https://www.simplilearn.com/project-management/pmp-certification-training?utm_campaign=XVQTCrPcqTQ&utm_medium=DescriptionFF&utm_source=youtube

This Project Management Full Course by Simplilearn will help you start with the basics of PMP. The course begins with an introduction to project management, covering Agile project management, PMP certification essentials, and a detailed PMP exam guide. You’ll explore the project management roadmap for beginners, Agile methodology, principles, and Scrum meetings. Dive deeper into Kotter's 8-step model, prioritization techniques, and product lifecycle management. Learn about achieving product-market fit, PMP 6th edition training, and project management in software engineering. The course wraps up with top PM tools, interview tips, and how to excel as a project manager.

Following are the topics covered in this Project Management Full Course:

00:00:00 Introduction to Project management full course
00:21:28 What is project management
00:29:37 What is agile project management
00:30:34 All about PMP Certification
00:47:06 PMP Exam Guide
00:59:50 Project Management Roadmap for beginners
01:05:41 What is Agile Methodology
01:15:02 Agile Principles
01:17:32 Scrum Meeting Explained
01:28:33 Kotters 8 step model explained
01:38:39 How to be Project Manager
06:27:15 Project Management
06:29:26 Prioritization Techniques
06:49:14 Product Lifecycle Management
07:08:50 What is product market fit
08:26:13 PMP 6th edition training
08:39:50 Project Management in Software Engineering
08:41:19 How to answer Product Management Interview Questions
09:14:47 Top 10 PM Tools
10:01:06 Project Manager Interview Questions

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⏩ Check out More PMP Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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#pmpcertification #pmpcertificationtraining #projectmanagement #ProductManagementIntewrviewQuestions #PMP #Simplilearn #2024

➡️PMP Certification Course Overview

Simplilearn's PMP training course covers core topics essential for a project management professional. It includes topics such as emerging trends, new technologies and practices, and core competencies required from a project manager. With an emphasis on strategic and business knowledge, the course also highlights the role of a project manager.

Key Features

✅ Receive 35 Contact Hours with Live Virtual Sessions
✅ Exclusive modules focused on applications of GenAI in Project Management
✅ PMI's largest partner in India
✅ 12 Full-Length Simulation Test Papers (180 Qs Each), 500+ Premium Exam Questions Exclusive from PMI, 1000 Practice Questions Bank
✅ PMP Exam Application Assistance by Certified Experts | Exam Cheat Sheet | Guaranteed Exam Pass Study Plan
✅ 24x7 Course Assistance Service

Skills Covered

✅ Work breakdown structure
✅ Gantt charts
✅ Project cost estimating
✅ Engineering economics
✅ Resource allocation
✅ Mathematical project scheduling models
✅ Cost managementLeadership

Learning Path
✅ PCP PM - PMP®
✅ PCP PM - Agile Scrum Master
✅ PCP PM - Microsoft® Project 2021
✅ PCP PM - Implementing a PMO
✅ PCP PM - Project Management Capstone
Electives:
✅ PCP PM - PMI-Risk Management Professional
✅ PCP PM - PMI-Program Management Professional
✅ PCP PM - Lean Six Sigma Green Belt (LSSGB)
✅ PCP PM - Customer Centric Digital Transformation (CCDT)
✅ Generative AI Masterclass
✅ Gen AI Masterclasses in Project and Quality Management

✅ Benefits

The PMP® certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries. PMP® certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.

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Grokking Machine Learning Book: https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt

A friendly introduction to the main algorithms of Machine Learning with examples.
No previous knowledge required.

What is Machine Learning: (0:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Decision Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Support Vector Machines: (18:50)
Kernel trick: (20:05)
K-Means clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary: (29:40)

(Thanks to Nick Kartha for breaking down the topics!)

If you like this, there's an extended version in this playlist:
https://www.youtube.com/playli....st?list=PLAwxTw4SYaP

CORRECTION: at 13:41, the probability is 6.1e-5 and not 4.8e-4 (however, the entropy is 1.75, which is correct). Thank you @dlyChimi!

Learn Shannon entropy and information gain by playing a game consisting in picking colored balls from buckets.

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Accompanying blog post: https://medium.com/p/5810d35d54b4/

0:00 Shannon Entropy and Information Gain
2:22 What ball will we pick?
4:33 Quiz
5:06 Question
5:14 Game
7:17 Probability of Winning
7:45 Products
11:00 What if there are more classes?
12:34 Sequence 2
13:44 Sequence 3
14:57 Naive Approach
15:34 Sequence 1
19:44 General Formula

Correction: At 30:42 I write "X = Y". They're not equal, what I meant to say is "X and Y are identically distributed".

The variance is a measure of how spread out a distribution is. In order to estimate the variance, one takes a sample of n points from the distribution, and calculate the average square deviation from the mean.
However, this doesn't give a good estimate of the variance of the distribution. The best estimate, however, is obtained when dividing by n-1 instead of n.
WHY!?!?!?!?!?!?!?
In this video, we dig deeper into why the variance calculation should be divided by n-1 instead of by n. For this, we use an alternate definition of the variance, which doesn't use the mean in its calculation.

*[0:00] Introduction and Bessel's Correction*
- Introducing Bessel's Correction and why we divide by \( n-1 \) instead of \( n \) to estimate variance.

*[0:12] Introduction to Variance Calculation*
- Explaining the premise of calculating variance and introducing the concept of estimating variance using a sample instead of the entire population.

*[1:01] Definition of Variance*
- Defining variance as a measure of how much values deviate from the mean and outlining the basic steps of variance calculation.

*[1:52] Introduction to Bessel's Correction*
- Discussing why we divide by \( n-1 \) when calculating variance and introducing Bessel's Correction.

*[2:35] Challenges of Bessel's Correction*
- Sharing personal challenges in understanding the rationale behind Bessel's Correction and discussing my research process on the topic.

*[3:20] Alternative Definition of Variance*
- Presenting an alternative definition of variance to aid in understanding Bessel's Correction and expressing curiosity about its presence in the literature.

*[4:45] Quick Recap of Mean and Variance*
- Briefly revisiting the concepts of mean and variance, demonstrating how they are calculated with examples, and explaining how variance reflects different distributions.

*[7:05] Sample Mean and Variance Estimation*
- Explaining the challenges of estimating the mean and variance of a distribution using a sample and discussing why sample variance is not a good estimate.

*[8:49] Bessel's Correction and Why \( n-1 \) is Used*
- Explaining how Bessel's Correction provides a better estimate of variance and why we divide by \( n-1 \) instead of \( n \). Emphasizing the importance of making a correct variance estimate.

*[10:51] Why Better Estimation Matters?*
- Discussing why the original estimate is poor and why making a better estimate is crucial. Explaining the significance of sample mean as a good estimate.

*[13:02] Issues with Variance Estimation*
- Illustrating the problems with variance estimation and demonstrating with examples why using the correct mean is essential for accurate estimates. Explaining the accuracy of estimates made using \( n-1 \).

*[15:04] Introduction to Correcting the Estimate*
- Discussing the underestimated variance and the need for correction in estimation.

*[15:57] Adjusting the Variance Formula*
- Explaining the adjustment in the variance formula by changing the denominator from \( n \) to \( n - 1 \).

*[16:22] Calculation Illustration*
- Demonstrating the calculation process of variance with the adjusted formula using examples.

*[16:57] Better Estimate with Bessel's Correction*
- Discussing how the corrected estimate provides a more accurate variance estimation.

*[18:24] New Method for Variance Calculation*
- Introducing a new method for calculating variance without explicitly calculating the mean.

*[20:06] Understanding the Relation between Variance and Variance*
- Explaining the relationship between variance and variance, and how they are related mathematically.

*[21:52] Demonstrating a Bad Calculation*
- Illustrating a flawed method for calculating variance and explaining the need for correction.

*[23:37] The Role of Bessel's Correction*
- Explaining why removing unnecessary zeros in variance calculation leads to better estimates, equivalent to Bessel's Correction.

*[25:08] Summary of Estimation Methods*
- Summarizing the difference between the flawed and corrected estimation methods for variance.

*[26:02] Importance of Bessel's Correction*
- Emphasizing the significance of Bessel's Correction for accurate variance estimation, especially with smaller sample sizes.

*[30:19] Mathematical Proof of Variance Relationship*
- Providing two proofs of the relationship between variance and variance, highlighting their equivalence.

*[35:24] Acknowledgments and Conclusion*

Thanks @mkan543 for the summary!