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

🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=4ZBrFtVfhZw&utm_medium=DescriptionFirstFold&utm_source=Youtube
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Welcome to our comprehensive "Prompt Engineering Full Course," where you'll explore the fascinating world of prompt engineering and its extensive applications in AI technology. This ChatGPT Prompt Engineering Course in-depth tutorial is meticulously designed to help you master the art of crafting effective prompts, an essential skill for anyone working with AI models. We will start with the basics, understanding what prompt engineering is and why it is crucial in the realm of AI. Discover the numerous ways prompt engineering can be applied across various industries. From content creation and SEO to software development, data analysis, education, legal compliance, and customer support, this course provides real-world examples to illustrate the power and versatility of well-crafted prompts. Gain a deeper understanding of advanced topics such as tokenization, the ChatGPT memory feature, and how to customize GPT-4 for specific tasks. We’ll guide you step-by-step through crafting prompts for different use cases, providing detailed examples and DIY exercises to enhance your skills.

00:00:00 Introduction to Prompt Engineering
00:02:29 What is Prompt Engineering
00:03:11 Crafting Effective Prompts
00:04:04 Practical Examples Writing Effective Prompts
00:05:19 Exploring Prompt Engineering Use Cases in Various Sectors
00:07:09 Flow of AI Technologies
00:08:27 having an Overview of Openai and ChatGPT
00:10:28 Tokenization in ChatGPT
00:12:29 Exploring Customize ChatGPT Feature
00:13:26 Exploring GPT 4o and Temporary chat Section
00:13:40 Components required to craft an Effective Prompt
00:16:50 Exploring Prompts with Examples
00:21:56 Examples for crafting Prompts for various Use Cases
00:22:00 Crafting Prompt for Content Creation
00:25:34 Crafting Prompt for SEO Optimization
00:28:40 Crafting Prompt for Developers or Development Field
00:33:20 Crafting Prompt for Data Analysis
00:38:03 Crafting Prompt for Educational Purpose or Roadmaps
00:41:43 Crafting Prompt for Legal and Compliance Field
00:46:29 Crafting Prompt for Customer Support
00:53:50 Exploring ChatGPT's Memory Feature

✅What does prompt engineering do?
Prompt engineering involves crafting effective and specific prompts to guide AI models like ChatGPT in generating desired responses.

✅What is the salary for prompt engineering?
Salaries for prompt engineering can vary based on factors such as location, experience, and the specific industry.

✅What is prompt engineering in ChatGPT?
In ChatGPT, prompt engineering refers to the process of designing prompts or inputs that influence the responses generated by the model.

#PromptEngineering #AI #MachineLearning #ChatGPT #GenerativeAI #ArtificialIntelligence #2024 #Simplilearn #TechTraining

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➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features

- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered

- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
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Shortform link:
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In this video we will talk about backpropagation – an algorithm powering the entire field of machine learning and try to derive it from first principles.

OUTLINE:
00:00 Introduction
01:28 Historical background
02:50 Curve Fitting problem
06:26 Random vs guided adjustments
09:43 Derivatives
14:34 Gradient Descent
16:23 Higher dimensions
21:36 Chain Rule Intuition
27:01 Computational Graph and Autodiff
36:24 Summary
38:16 Shortform
39:20 Outro

USEFUL RESOURCES:
Andrej Karpathy's playlist: https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ&si=zBUZW5kufVPLVy9E

Jürgen Schmidhuber's blog on the history of backprop:
https://people.idsia.ch/~juerg....en/who-invented-back


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This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.

00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
00:36:17 Best Artificial Intelligence Coding tools
00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
02:33:11 AI Bias
02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
02:46:11 Run Lama Privately
02:54:55 Introduction To LLM
03:08:24 LLM Benchmarkeing
03:14:01 Mutimodel Artificial Intelligence
03:33:52 Chatgpt Analyse Tutorial
03:34:53 Transformers In Artificial Intelligence
06:59:07 Reinforcement Learning
06:59:57 Q Learning
07:22:58 Langchain Explained
07:37:26 What Is Prompt Engineering
07:59:49 Data Analytics Using Artificial Intelligence
08:01:31 Cursor AI
10:17:41 Recurrent Neural Network
10:35:26 Machine Learning Projects For Beginners
11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
11:40:51 Artificial Intelligence Projects With Source Code For Beginers
11:46:00 Generative AI Tools For Job Interview
13:41:50 Artificial Intelligence and Deep learning Interview Questions
13:42:50 How To Earn Money Using ChatGPT

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➡️ About Post Graduate Program In AI And Machine Learning

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's Job Assist helps you get noticed by top hiring companies

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PRESENTING THE FULL VIDEO SONG 'MILLIONAIRE' BY YO YO HONEY SINGH, FROM THE MOST AWAITED ALBUM OF THE YEAR 'GLORY'.

GULSHAN KUMAR & T-SERIES PRESENTS
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This video is about the Fast Fourier Transform.

This is the third in a series of videos about Fourier transforms.

- First video: The Discrete Fourier Transform https://www.youtube.com/watch?v=T8XZxR5H04E
- Second video: Detecting Periodicity with the DFT https://youtu.be/bk9VGJNzQM0
- Third video: The Fast Fourier Transform (this one)

Grokking Machine Learning Book:
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00:00 Introduction
00:27 The Discrete Fourier Transform
03:01 The Fast Fourier Transform
07:28 The Butterfly

Learn more: https://bit.ly/4mVUPyF

Building effective Agentic AI systems is one of the most valuable skills in AI today.

Introducing Agentic AI, a new course from Andrew Ng, now available on DeepLearning.AI.

While most developers build AI that just responds to prompts, the most productive teams are building AI that executes multi-step workflows autonomously. 

In this course, you'll learn how to build 4 key agentic workflows using raw Python so that you'll see how each step actually works.

Skills you’ll gain: 

- Build agentic design patterns: reflection, tool use, planning, and multi-agent workflows
- Integrate AI with external tools: databases, APIs, web search, and code execution
- Evaluate and optimize AI systems: performance metrics, error analysis, and production deployment

Build everything from scratch in Python—no frameworks, no black boxes.

Agentic AI is available exclusively on DeepLearning.AI. With a Pro membership you get access to quizzes, code labs, and Professional Certifications along with early access to our available catalog of advanced AI courses.

Enroll in Agentic AI on DeepLearning.AI: https://bit.ly/4mVUPyF

MIT 14.02 Principles of Macroeconomics, Spring 2023
Instructor: Ricardo J. Caballero

View the complete course: https://ocw.mit.edu/courses/14....-02-principles-of-ma
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This lecture covers an introduction to the topic of macroeconomics, which is the study of the behavior of an economy as a whole. The instructor also talks about the objectives of the course.

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This video introduces the fundamentals of protein design and summarizes the trajectory of the course with a focus on (1) the foundational biochemistry that protein structure prediction and design hinge on and (2) deep learning / machine learning principles overview.

Video from the Rosetta Commons PPI Workshop (February 2025)
Video Instructor: Amrita Nallathambi (UNC Chapel Hill)

Credits:
Instructor: Amrita Nallathambi
Teaching Assistants: Yehlin Cho, Cyrus Haas, and Matthew Hvasta,
RC Leadership and NSF Sponsor Grant PIs: Julia Koehler Leman & Jeffrey Gray
RC Education Director: Ashley Vater
Videographer: Canyon Florey
Rosetta Workshop Participants

00:00 - Introduction
00:20 - Deep Learning Revolution for Proteins
01:50 - The Transformer
03:38 - AlphaFold2 Overview
06:22 - AlphaFold2 Inputs
09:48 - AlphaFold2 Outputs
13:29 - Graph Neural Networks
16:24 - ProteinMPNN Loss
17:35 - Diffusion models
18:30 - RFDiffusion
19:52 - Inputs and Outputs
20:43 - Potentials