#BestOfVocalDeepHouse #RelaxingMusic #HouseMusic2023

Mega Hits 2023 🌱 The Best Of Vocal Deep House Music Mix 2023 🌱 Summer Music Mix 2023 #272
Mega Hits 2023 🌱 The Best Of Vocal Deep House Music Mix 2023 🌱 Summer Music Mix 2023 #272
Mega Hits 2023 🌱 The Best Of Vocal Deep House Music Mix 2023 🌱 Summer Music Mix 2023 #272

@ImagineDeep68 @raylefauneee-THR-Music

✔️Submit music: https://spoti.fi/2TJ4Dyj
✔️Youtube: → https://bom.to/7wQ7xX
✔️Instagram : → https://bom.to/T6TBhm
✔️Twitter: → https://bom.to/Fs5giK
✔️Facebook: → https://bom.to/TWMfIj

🎶Music By :

🌿Follow Deep Disco Records
➤ Spotify → https://vibe.deepdiscomusic.com/deephouse
➤ Apple Music → https://vibe.deepdiscomusic.com/deephousemusic
➤ Soundcloud → https://soundcloud.com/deepdiscorecords
➤ Website → https://www.deepdiscomusic.com/

00:00:00 | 1. DJ Sava feat IOVA - Magical place (Dj Dark & MD Dj Remix)
00:03:06 | 2. Avicii ft Aloe Blacc - SOS (Pascal Junior Remix)
00:13:25 | 4. Around This World - Costa Mee
https://vibe.deepdiscomusic.com/bestofdd
00:18:19 | 5. Deepest Blue (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/hits
00:21:48 | 6. Dancer In The Dark (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/motivationhouse
00:25:55 | 7. Broken Mess (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/hits
00:29:33 | 8. September Rain (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/bestofdd
00:33:05 | 9. Wait For This (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/deephousemusic
00:36:39 | 10. Dancing With Your Eyes (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/deephousemusic
00:40:01 | 11. Summer Of Love (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/hits
00:43:54 | 12. I Wanna Be Somebody (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/bestofdd
00:47:16 | 13. We Were Younger (Original Mix) - Marc Philippe
https://vibe.deepdiscomusic.com/deephouse
00:51:06 | 14. You Love Me Tonight (Paul Lock Remix) - Marc Philippe
https://vibe.deepdiscomusic.com/bestofdd
00:56:00 | 15. With You (Original Mix) - GeoM
https://vibe.deepdiscomusic.com/hits
00:59:51 | 16. Lost Control (Original Mix) - Housenick
https://vibe.deepdiscomusic.com/ddr244
01:03:47 | 17. Without You (Original Mix) - Housenick
https://vibe.deepdiscomusic.com/ddr296
01:07:43 | 18. Let It Out (Original Mix) - Paul Lock
https://vibe.deepdiscomusic.com/ddr247
01:11:32 | 19. Babylon (Costa Mee Remix) - Marc Philippe
https://vibe.deepdiscomusic.com/motivationhouse

📷 Picture credit:
@unknown (if you know, please share the info with us).

♦ If any manufacturer, record label, artist or photographer has trouble uploading music or videos, please contact us and we will delete your work immediately. Thanks! ♦ We try to find the best and most interesting song for you! We hope to make your day more beautiful with the music we share! Peace, love and music. I am also a music producer, I am working on this project!


🚫 If you have any problem with copyright issues, or question please do not report me, take your time to contact us via mail, and we will respond within 48h - 💌 [email protected] 💌

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In this video, on *What is Generative AI* , we will dive into Generative AI, exploring its definition, key examples, and diverse applications across sectors like healthcare and education. We'll also discuss how generative AI shapes different fields, highlight its potential future impact, and showcase a practical mini-project. Using the YouTube Transcript API and Google's generative AI, we will learn how to build a video summarizer, providing a hands-on example of generative AI’s capabilities. This video is ideal for tech enthusiasts and beginners alike, as it unpacks generative AI's transformative role in the tech world.

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✅ 03:05 - What is Generative AI?
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✅ 07:40 - Future of Generative AI
✅ 08:32 - How to Build a Video Summarizer?

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- - - - - - - - - - - - - -
What are the Outcomes after learning a Generative AI course ?

Upon completing the Introduction to Generative AI Fundamentals Course, participants will attain the following learning outcomes:
Develop a comprehensive understanding of generative AI
Gain practical experience through interactive sessions and exercises
Familiarize with popular generative AI algorithms
Explore the creative potential of generative AI in generating realistic images, text, music, and other forms of media, fostering innovation and experimentation.
Understand the ethical implications and considerations associated with generative AI.

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

Why to Learn Generative AI course?

Enroll in the Introduction to Generative AI fundamentals Course to acquire a thorough grasp of generative models, covering everything from basic concepts to cutting-edge uses. Delve into ethical considerations and practical techniques for creating generative AI solutions for actual industry situations, equipping you for various positions in AI advancement and creativity.
- - - - - - - - - - - - - -
Who should learn Generative AI courses?

This course on Introduction to Generative AI is perfect for individuals aiming to pursue a career in AI, including data scientists, researchers, and developers who wish to explore generative models. It is also beneficial for professionals in various sectors, such as software development, marketing, and retail, who want to utilize AI for problem-solving and innovation.

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

#generativeai #artificialintelligence #machinelearning #aiexplained #futureofai #aitechnology #deeplearning #aiforbeginners

This is the first of a series of two videos on AI Agents.
In here, we talk about the strengths and weaknesses of LLMs, focusing on a specific example: Why are LLMs unable to tell good jokes, yet they can write such good poems?
This sets the tone for the next video on AI Agents.

Second video - Agents, Reasoning Models, and RAG: https://www.youtube.com/watch?v=xXL0gMo9Lso

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This Edureka video on the "How to Create Login System using Python" will help you in building a login system in a step by step manner.
Topics covered in this video:
00:00:00 Introduction
00:00:17 Agenda
00:00:43 What is Python
00:01: 51 Features of Python
00:05:24 Who uses Python
00:05:41 What is a Login System
00:06:03 Prerequisites for Login System
00:06:33 Python Login System Project Objective
00:07:58 Login Authentication
00:08:22 New Users Registration
00:08:39 Hands-On

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Following are the topics covered in the Generative AI Full Course 2025:

00:00:00 Introduction to Gen AI Full Course 2025
00:04:37 What is Gen AI ?
00:05:22 Gen AI Tutorial for beginners
00:16:01 Roadmap to become a Gen AI Engineer
00:25:51 Introduction to LLM
01:27:04 What is Machine Learning?
02:23:36 Machine Learning Tutorial
04:28:59 Reinforcement Learning
04:45:04 Deepseek r1
04:52:03 Deep Learning
05:00:20 Search GPT
05:02:35 Langchain
05:59:10 Generative Adversarial Tutorial
06:08:32 What are Gans
06:09:33 Transformers in AI
06:22:02 LSTM
06:41:53 CHatgpt analyse
06:52:49 Openai sora
07:01:42 LLM Benchmarkeing
07:52:25 Hugging Face and its tutorial
08:07:49 Open ai chatgpt o1 model
08:44:51 Agentic AI
08:53:14 Google Quantam AI
08:58:23 Gen ai tools for job interview
10:58:44 Deep learning Interview questions

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➡️ 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
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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
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This Azure tutorial for beginners will help you understand what is cloud computing, what is Microsoft Azure, what are the services Azure offers, why is Azure better, which companies use Azure and you will also see a use case where we utilize some of the Azure cloud services. Cloud computing refers to the method of using the internet to store data, manage data and process data and Microsoft Azure is on such cloud service provider. It works on the basis of cloud computing. Microsoft Azure is a set of cloud services to build, manage and deploy applications on a network with the help of tools and frameworks. With the vast majority of organizations the world over adopting the cloud, demand for skilled professionals in this field is high. High salaries and a vast range of options for cloud computing experts have made it a sought-after industry for IT professionals. Now, let us get started and understand what is Microsoft Azure and the services that it has got to offer us.

Below topics are explained in this Azure tutorial for beginners:
1. What is cloud computing? (03:23)
2. What is Microsoft Azure? (03:49)
3. What are the services Azure offers?
4. Why is Azure better? (14:08)
5. Which companies use Azure? (1:23:21)
6. Microsoft Azure Demo (1:23:51)

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➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

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- Caltech CTME Post Graduate Certificate
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This Edureka Git Full Course video will help you understand and learn the fundamentals of Git . This Git Tutorial is ideal for both beginners as well as professionals who want to master the fundamentals of Git. Below are the topics covered in this git full course tutorial for beginners :
00:00:00 Introduction
00:01:00 Agenda
00:02:26 What is Git
00:18:31 Git features
00:24:10 Git Installation & Setup
00:26:56 Git Operations & Commands
00:54:48 Introduction to SSH Keys
01:14:18 Git Basic Commands
01:20:21 Git Branching
01:27:15 WOrking with Remote Repositories
01:32:02 Advanced Git Commands
01:44:32 GitHub Basics
01:44:08 What is GitHub
01:46:22 Getting Started with GitHub
01:53:32 Creating a New Repository
01:58:55 Creating a Branch
02:09:07 Case study
02:11:07 GitHub Workflow
02:15:55 GitHub Flow
02:22:58 GitBash
02:27:43 How to Install GitBash in Windows
02:46:29 GitHub Repository
03:11:21 Compare Remote Repos
03:13:23 Compare the Local Git branch with remote
03:19:22 Pull request
03:20:55 Creating a pull request from a fork
03:24:07 GitLab CI/CD Pipeline
03:26:50 CI-CD Pipeline
03:32:02 Why use GitLab
03:39:49 Git Branching and Stashing
03:42:02 what is Branching
03:44:02 Git storage strategy
03:58:59 Merge Conflict
04:04:44 Stashing
04:13:03 Git WOrkflow
04:26:09 Centralized WOrkflow
04:35:17 Git Rebase
04:39:51 Golden Rule of Git Rebase
04:44:27 Rebase Commands
04:46:19 Rebase Configuration Options
04:52:44 Difference between merge and Rebase
04:56:38 What is Jenkins
05:09:38 What are webhooks
05:11:26 How to build a webhook
05:17:35 What are GitOps
05:27:03 Giw GitOps Works
05:30:59 Git Beginners interview questions
05:42:37 Git Intermediate Interview Questions
05:56:38 Git Advanced Interview Questions

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This Video on Data Structures and Algorithms by Simplilearn will help you learn the basics of programming, data structures, and the working of algorithms. This Data Structures Tutorial will help you learn everything about data structures and algorithms. We’ll start with an introduction to data structures, laying the foundation for understanding the core concepts. As we progress, we’ll explore the best AI coding tools to enhance your coding efficiency. Then, we’ll dive deep into what an algorithm is and explore essential algorithms like recursion, the Tower of Hanoi algorithm, the Knapsack problem, and Prim's Algorithm. You'll also get hands-on with various data structure types, and how to choose the right one for different scenarios. We’ll provide a guide on how to get internships and practical exposure, followed by an introduction to the top 10 programming projects to solidify your learning and improve your portfolio. By the end of this course, you’ll be equipped with the skills to confidently tackle coding challenges and real-world problems using data structures and algorithms.

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00:00:00 Introduction to Data Structures Full Course
05:26:27 Data Structures Tutorial For Beginners
05:38:31 Best AI Coding tools
05:50:06 What is an Algorithm
06:01:10 What is recursion
06:12:33 tower of hanoi algorithm
06:36:45 Knapsack algorithm
07:05:34 Prims Algorithm
10:41:28 Data Structure tutorial
10:48:59 How to get Internships
11:02:09 Top 10 Programming Projects

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

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➡️ About Post Graduate Program in Full Stack Web Development

This program will give you the foundation for building full stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is a perfect time to get started on your career as a full stack web developer!

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✅ Receive up to 25 CEUs from Caltech CTME
✅ Caltech CTME Circle Membership
✅ Live virtual classes led by industry experts, hands-on projects and integrated labs
✅ 30+ in-demand tools and skills
✅ Capstone Project in 4 domains
✅ 20 lesson-end and 5 phase-end projects
✅ Build your own portfolio on GitHub

Skills Covered
✅ Agile
✅ JAVA
✅ Hibernate and JPA
✅ Spring Core 50
✅ DevOps
✅ HTML5 and CSS3
✅ AWS
✅ JavaScript ES6
✅ Servlets
✅ SOAP and REST
✅ JSP

Learning Path
✅ Induction for Caltech PGP Full Stack Web Development Program
✅ PG FSD: Planning and UI Design
✅ PG FSD: Backend and Database Development
✅ PG FSD: API End Points and Communication
✅ PG FSD: Integration and Deployment
✅ PG FSD: Full Stack Web Development Capstone Project
Electives:
✅ Caltech CTME Full Stack Development Master Class
✅ Generative AI Masterclass

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In this Cyber Security Crash Course video, you will learn all about cyber security, know the importance of cyber security, what cyber security means, and the different types of cyberattacks with a hands-on demo for each. Let's begin this Cyber Security Training For Beginners!

The topics covered in this Cyber Security Crash Course video are:
00:00:00 Introduction to Cyber Security
00:12:40 Malware Attack
00:20:22 Phishing Attack
00:25:07 Man-in-the-Middle Attack
00:27:28 Denial of Service Attack
00:28:09 SQL Injection Attack
00:29:27 Password Attack
00:34:08 Network Attacks
00:25:07 Man-in-the-Middle Attack
00:35:03 History of Cybercrimes
00:40:28 What is Cyber Security?
00:42:20 Network Terminologies
01:05:36 CIA
01:08:55 Tackling Cybercrime
01:20:07 Metasploit Attack
01:31:40 Who Is a Cyber Security Expert?
01:41:56 Ethical Hacking Introduction
01:49:27 What Is Ethical Hacking?
02:27:04 Kali Linux Installation & Cyberattack demo
03:26:18 Cyber Security Career
03:42:08 Ethical Hacking Career
03:53:18 CISSP Certification
04:09:00 Cyber Security Interview Questions & Answers

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➡️ About Post Graduate Program In Cyber Security

This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

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The number 37 is on your mind more than you think. Head to https://brilliant.org/veritasium to start your free 30-day trial and get 20% off an annual premium subscription.

Huge thanks to Tom Magliery for sharing his 37 collection with us. Support http://thirty-seven.org by sharing your own 37 sightings to [email protected]!
Thanks to Dr. Todd Landman, the Academic Magician, for sharing his footage of the 37 Force. - https://www.todd-landman.com/

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Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever: https://ve42.co/PatreonDE

Sam Lutfi, Lee Redden, Juan Benet, Richard Sundvall, Paul Peijzel, Gnare, Michael Krugman, Meekay, Ubiquity Ventures, Marinus Kuivenhoven, Bill Linder, Evgeny Skvortsov, Burt Humburg, Dave Kircher, Diffbot, john kiehl, Blake Byers, Stephen Wilcox, John H. Austin, Jr., Josh Hibschman, TTST, Orlando Bassotto, Anton Ragin, David Johnston, KeyWestr, Tj Steyn, meg noah, Chris Harper, Adam Foreman, Max Paladino, Balkrishna Heroor, I. H., Garrett Mueller, Bertrand Serlet, Kyi, wolfee, Matthias Wrobel

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References:
Simon, W. E. (1972). “Blue Seven Phenomenon” in Elementary and Jr. High Children. Psychological Reports - https://ve42.co/Simon1972
Trueman, J. (1979). Existence & Robustness of Blue Seven Phenomena. The Journal of General Psychology - https://ve42.co/Trueman1979
Saito, M. (1999). “Blue and Seven Phenomena” in Japanese Students. Perceptual & Motor Skills - https://ve42.co/Saito1999
Philbrick, J. L. (1976). Blue seven in East Africa: Preliminary report. Perceptual & Motor Skills - https://ve42.co/Philbrick1976
Hargreaves, S. (2009). The psychology of randomness. - https://ve42.co/Hargreaves2009
The 37 Force via The Magician’s Forum - https://ve42.co/37Force1
Fulves, K. (1979) Self-Working Mental Magic. Dover Publications, Inc. - https://ve42.co/Fulves1979
Random numbers via The Jargon File at catb.org - https://ve42.co/Jargon
Random Number Survey by MahoganyForest via Reddit - https://ve42.co/RedditRndm
Prime number theorem via Wikipedia - https://ve42.co/WikiPNT
Grossack, C. (2023). A truly incredible fact about the number 37. Grossack.site - https://ve42.co/Grossack2023
Least prime factor of n via oeis.org - https://ve42.co/LeastPrime
Fry, H. (2017). When should you settle down? ideas.ted.com - https://ve42.co/Fry2017
Choosing Toilets by Numberphile - https://www.youtube.com/watch?v=XIOoCKO-ybQ
Seaton, R. (2014). The Secretary Problem Explained: Dating Mathematically. rs.io - https://ve42.co/Seaton2014

Images & Video:
Just 37 by Tom Magliery - https://ve42.co/Just37
R4000 Processor via Molecular Expressions - https://ve42.co/micro37
The “37” Cluster by Noel Carboni - https://ve42.co/NGC2169
Charles Fleischer via Wikimedia - https://ve42.co/Fleischer

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Directed by Emily Zhang
Written by Emily Zhang and Derek Muller
Edited by Peter Nelson
Asst edited by Luke Molloy
Animated by Fabio Albertelli, Ivy Tello, and Leigh Williamson
Illustrated by Jakub Misiek
Filmed by Emily Zhang, Casper Mebius, Derek Muller, Michael Cimpher, and David Szasz
Additional research by Gregor Čavlović
Produced by Emily Zhang, Giovanna Utichi, Han Evans, and Emily Taylor

Thumbnail contributions by Ignat Berbeci, Ren Hurley, and Peter Sheppard
Additional video/photos supplied by Getty Images and Storyblocks
Music from Epidemic Sound

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/full-stack-
This Edureka "Full Stack Web Web Development Full Course" video will help you understand and learn Full Stack Development technologies and concepts in detail. This Full Stack Web Development Tutorial is ideal for both beginners as well as professionals who want to master Frontend and Backend Web Development technologies.


📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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🔥Edureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
Topics covered in this session:
00:00:00 Introduction
00:00:25 Agenda
00:01:35 What is Machine Learning
00:13:47 Introduction to Classification
00:17:28 Classification Algorithms
00:18:30 What is Naïve Bayes
00:31:36 Mathematical Working of Naïve Bayes
00:39:24 Example

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#edureka #datascienceedureka #SupportVectorMachine #SVM #DataScience #MachineLearning #MachineLearningTraining #learnMachineLearning #withme

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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.
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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.
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Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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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).

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Machine Learning is the most debated technology of the 21st century. In this machine learning crash course, you will learn about the basics of machine learning and the various applications of machine learning. You will understand the different machine learning algorithms with hands-on demo in Python and get an idea about a machine learning engineer's salary, roles, and responsibilities.

Below topics are explained in this Machine Learning tutorial:
00:00:00 Basics of machine learning python
00:08:42 Machine learning python vs Deep learning vs Artificial Intelligence
00:12:10 Human vs Artificial Intelligence
00:14:06 What is Machine learning python and Deep Learning all about?
00:26:22 Types of AI and Machine Learning
00:35:12 Application of machine learning
00:40:06 Machine learning Algorithms Classification
01:25:33 what is Clustering
01:26:19 K-means Clustering
01:55:55 Logistic Regression
02:21:26 what is a random forest
02:30:08 How does Random forest work?
03:00:07 Naive Bayes
03:42:35 Machine learning Engineer salary, Roles, and responsibilities
03:42:40 Who is a machine learning engineer
03:43:40 Responsibilities of a Machine Learning Engineer
03:48:03 Sills of a Machine Learning Engineer
03:54:06 Resume of a Machine Learning Engineer

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
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✅ Skills Covered

- ChatGPT
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- Python
- Supervised Learning
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