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The "AWS Architect Full Course" is a thorough learning experience designed to help aspiring AWS architects gain essential knowledge. This Full Course covers core AWS services, best practices, security, and advanced topics such as serverless computing, giving you practical insights into designing and managing scalable solutions on the AWS cloud.
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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In this Edureka tutorial on AWS Autoscaling and Load balancing, you will learn how to implement Autoscaling and Load Balancing service in AWS practically. Also, we will see how we can divert our traffic to different servers based on their path name.
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬
🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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🔵 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
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Video en Inglés del Canal @Veritasium:
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#veritasiumenespañol
У відео йдеться про історію винайдення комплексних чисел, які стали вирішенням проблеми від'ємної площі в геометрії і зумовили відмову від геометрії як основи алгебри. Зрештою комплексні числа стали незамінними у фундаментальній фізиці - у рівнянні Шрьодінґера, яке описує хвильову функцію.
✅Текст читав: Андрій Горбунов (канал “Лакуна”)
✅Переклад: Марія Луценко, Марія Ковальчук, Артем Панченко, Катерина Рибачок, Анастасія Євгенова, Анастасія Цьосенко.
✅Редагування, субтитрування, монтаж: Віталій Шевчук (Цікава наука)
❕Підтримайте "Цікаву науку" на https://www.patreon.com/join/CikavaNauka або
💳 Приватбанк: 5168 7451 0521 3422
💳 Монобанк: 4441 1144 2309 4109 (Віталій Шевчук)
© Оригінальне відео: https://www.youtube.com/watch?v=cUzklzVXJwo
© Канал Veritasium: https://www.youtube.com/c/veritasium (з люб’язного дозволу автора)
Executive Producer: Derek Muller
Writers: Derek Muller, Alex Kontorovich, Stephen Welch, Petr Lebedev
Animators: Fabio Albertelli, Jakub Misiek, Iván Tello, Jesús Rascón
SFX: Shaun Clifford
Camerapeople: Derek Muller, Emily Zhang
Editors: Derek Muller, Petr Lebedev
Producers: Derek Muller, Petr Lebedev, Emily Zhang
#SciTube #ЦікаваНаука #WatchUA
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Welcome to our extensive video on SQL Full Course!
SQL (Structured Query Language) is a powerful and widely used language for managing and manipulating data in relational databases. Whether you're new to SQL or looking to refresh your knowledge, this video is designed to provide you with a solid understanding of SQL concepts and syntax.
In this SQL Tutorial for Beginners video, we will cover the basics of SQL, such as installing a database management system, creating and manipulating tables, and retrieving and managing data. We will have multiple fun quizzes throughout the session so make sure you answer them in the comment section below. By the end of this video, you will understand how to use SQL to manage your data more efficiently and effectively. So, without further ado, let's jump to the session's agenda.
In this video, we will start with the Basics of SQL, including data types, DDL, and DML commands, and Different types of Database Architecture. We will also cover PL/SQL, which is an extension of SQL used for procedural programming.
We will then move on to advanced topics such as BLOB, Constraints, Set Operations, and Different types of SQL JOINs. We will also discuss String Functions, Ranking Functions, and Transaction Control Language (TCL).
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🔵 Here is a breakdown of the topics covered in the video:
00:00:00 - Introduction
00:05:06 - What is SQL?
00:47:24 - Different types of Database Architecture.
01:04:49 - What are DDL and DML Commands in SQL?
02:50:31 - What is the Data Type?
04:03:52 - What are the Constraints in SQL?
04:37:28 - Set Operations
04:48:49 - Different Types of SQL JOINs.
05:14:57 - What is Ranking Function used for?
05:57:21 - User Defined Functions & Variable Declaration
06:23:35 - SQL Hands On
08:24:17 - SQL Interview Questions
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In this video on Python, you will learn python classes, objects, and flow control with examples and their uses. This python series is a must-watch for everyone who wishes to learn python and make a career in it.
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------------------------------
🔵 Why should you learn React.JS?
React is a JavaScript library that specializes in helping developers build user interfaces or UIs. React on its own is a very functional, modular way to create expressive UI, and with its single responsibility mentality, it can be integrated with other systems as well as utilize its own ecosystem to develop full single page and multi-page apps.
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Please write us at [email protected] or call us at +91-7847955955
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This Edureka Live session on 'Linear Regression In Machine Learning' covers an introduction to Linear Regression with practical implementation using a custom data set. Following are the topics of discussion:
What is Regression In Machine Learning?
Types Of Regression
What is Linear Regression?
Linear Regression Terminologies
Advantages And Disadvantages
Linear Regression Use Cases
How To Implement Linear Regression Using Python
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How it Works?
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the 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 the python programming language to enhance your learning experience.
Why Learn Machine Learning using Python?
Data Science is a set of techniques that enables 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.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?
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
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)
🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Machine Learning trends in 2020' covers the top 10 trends of Machine Learning which you must follow in 2020 to succeed.
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How it Works?
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the 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 the python programming language to enhance your learning experience.
-------------------------------------------------
Why Learn Machine Learning using Python?
Data Science is a set of techniques that enables 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.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)
Learn about Large Language Models (LLMs), a powerful neural network that enables computers to process and generate language better than ever before. Dale and Nikita share how LLMs work and how you can interact with them via prompts.
Resources:
Try out Bard → https://goo.gle/420KQhw
What is a Transformer? → https://goo.gle/3VABlDw
Subscribe to Google Developers → https://goo.gle/developers
#MachineLearning #MLmodels #LLMs #GenerativeAI
🔥Microsoft PowerBI Certification (PL-300) - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=06Apr2024PowerBIFullCourse2024&utm_medium=DescriptionFF&utm_source=youtube
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🔥Business Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=06Apr2024PowerBIFullCourse2024&utm_medium=DescriptionFF&utm_source=youtube
Power BI Full Course 2024 By Simplilearn is complete end to end Power BI Tutorial For Beginners that covers the most important concepts of the Power BI Course like, Data Modelling, Data Transformation, Data Visualization, and Data sharing etc. The goal of the full course is to help aspiring data analysts and business analysts to have a compfortable understanding of the power bi data visualisation tool. This power bi full course by Simplilearn covers the following topic:
0:00:00 What Is Power BI?
0:16:05 🔥Install Power Bi
0:37:23 How To Connect Data Sources In Power BI?
2:46:00 Power BI Tutorial For Beginners
3:07:54 How To Connect Data Sources In Power BI?
3:31:15 Data Modelling In Power BI
3:46:09 Data Transformation in Power BI
4:07:31 Top 10 Power BI Charts
4:10:06 How To Create KPI Visuals In Power BI
4:36:31 Creating Calculated Fields In Power BI
5:04:48 DAX In Power BI Tutorial
5:25:20 Sales Dashboard In Power BI
5:38:09 Cutomer Analytics Dashboard Using Power BI
5:49:51 Power Bi vs Tableau
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#BusinessAnalyst #Powerbi #Excel #2024 #DataAnalyst #Simplilearn
✅ About Post Graduate Program In Business Analysis
This Post Graduate Program in Business Analysis is for professionals looking to pursue a Business Analysis career, understand business analysis techniques, get hands-on experience, and for experienced analysts looking to learn the latest tools and frameworks used by Agile teams.
✅ Key Features
- Certificate from Simplilearn in collaboration with Purdue University
- Become eligible to be part of the Purdue University Alumni Association
- Master Classes delivered by Purdue faculty
- Earn 35 PDs/CDUs post completion of the CBAP® module
- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
- Capstone from 3 domains and 14+ projects
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Get mentored and network with Business Analyst from Amazon, Microsoft and Google
✅Skills Required
- Business Analysis
- Elicitation and Collaboration
- BRD FRD and SRS Document Creation
- Requirements AnalysisPlanning and Monitoring
- Requirements Life Cycle Management
- Strategy AnalysisWireframing
- More...
✅Tools Covered
- Excel
- JIRA
- Powerbi
- R
- MySQL
👉Enroll now: https://www.simplilearn.com/pgp-business-analysis-certification-training-course?utm_campaign=06Apr2024PowerBIFullCourse2024&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes?* Call Us: IN - 1800-212-7688 / US - +1-844-532-7688
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🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=zKrGRaQCWQE&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=zKrGRaQCWQE&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=zKrGRaQCWQE&utm_medium=DescriptionFirstFold&utm_source=Youtube
In this Top 5 AI Technologies 2021 video, you will see the most popular AI technologies that are widely used. You will get a glance at these technologies and learn where artificial Intelligence can be used. You will get an idea of the different domains where AI has found its applications.
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
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#AITechnology #Top5AiTechnologies #TopArtificialIntelligenceTechnology #ArtificialIntelligenceApplications #Top5AITechnology #Simplilearn #Shorts
What is Artificial Intelligence?
Artificial Intelligence or AI is the combination of algorithms used for the purpose of creating intelligent machines that have the same skills as a human being. AI has made significant advances in the past few years and has impacted both our everyday lives and business in big ways. It is being widely used in every sector of business, such as Healthcare, E-Commerce, Manufacturing, Retail, and Logistics.
About Simplilearn Artificial Intelligence Course:
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
6. Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
👉Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Top5AITechnologiesShorts&utm_medium=ShortsDescription&utm_source=youtube
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This ChatGPT Full Course by simplilearn provides a deep dive into AI technologies and applications, starting with the Top 10 AI Technologies and covering essentials like ChatGPT basics, Prompt Engineering, and Generative AI. It explores advanced topics such as ChatGPT 4 vs. ChatGPT 3.5, RAG vs. Prompt Tuning, and Prompt Injection, alongside practical applications like building apps, blogging, and creating Telegram bots with ChatGPT. Discover tools for automating tasks such as Excel, crafting PowerPoint presentations, and using LangChain. Other highlights include tutorials on GANs, OpenAI's Strawberry and Sora, and a guide to earning money with AI innovations like selling eBooks and job preparation in AI fields.
These are the following topics covered in the ChatGPT Full Course
00:00:00 Introduction to ChatGPT Full Course
00:00:41 Top 10 AI Technologies
00:18:08 Introduction to ChatGPT
00:23:19 What is Prompt Engineering
00:24:04 What is Gen AI
00:40:22 How to get Job in AI
00:40:59 ChatGPT 40 vs ChatGPT 4
01:17:07 Chatgpt analyse
01:18:14 Run Lama Privately
01:33:51 Search GPT
01:35:03 Sell Ebooks using ChatGPT
02:01:25 Build App Using ChatGPT
04:07:05 ChatGPT for Programming
04:22:02 Prompt Formulae Chatgpt
05:34:32 Automate Excel using Chatgpt
06:19:09 Generative Adversarial Tutorial
06:20:37 Blogging with ChatGpt
06:47:56 Powerpoint using Chatgpt
06:49:02 Rag Vs Prompt Tuning
07:01:16 Prompt injection
07:53:50 Telegram BOT using ChatGPT
07:54:50 How to Earn Money using ChatGPT
09:09:59 Prompt Engineering Tutorial
09:15:41 Open AI Strawberry Tutorial
09:26:37 Openai sora Tutorial
09:28:52 Langchain Tutorial
09:56:14 Open ai chatgpt o1 model
✅ 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
#gpt #chatgpt #chatgptforbeginners #chatgptcourse #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=NhEhl7HonDA&utm_medium=Description&utm_source=Youtube
Build Your First AI Agent In 15 Minutes (No Coding). Join our FREE community with all our prompts: https://www.skool.com/ai-launchpad/about
Chatling (FREE Trial): https://chatling.ai/
Chapters:
0:00 - Intro
1:47 - Setup Chatling
2:45 - Configure your agent
5:00 - Add knowledge base + data sources
6:49 - Configure actions
11:28 - Testing in playground
13:40 - Deploy to website
15:55 - Deploy to instagram
17:16 - Outro
For business inquiries including sponsorships and collaborations, please email:
[email protected]
(March 29, 2010) Stanford professor Robert Sapolsky gave the opening lecture of the course entitled Human Behavioral Biology and explains the basic premise of the course and how he aims to avoid categorical thinking.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
Deep Learning to Text and Image Data - Module 1, Lesson 0: Intro to Deep Learning on Text and Images
Deep learning has shown remarkable success in processing and understanding unstructured data like text and images. In this module, we will explore how deep neural networks can be leveraged to build intelligent systems in the domains of natural language processing and computer vision. Get ready to dive into the exciting world of deep learning on text and images!
We will start with the agenda and course overview. Then, we will review some key machine learning concepts, including regression, optimization, regularization, and text and data representation.
--------------------
This video is part of Machine Learning University’s open-source "Application of Deep Learning to Text and Image Data" series, part of our Fundamentals of Machine Learning content. Access the full set of lessons, hands-on labs, and Jupyter Notebooks here:
🔗 GitHub Repository: https://github.com/aws-mlu/aws....-mlu-eep-traditional
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Machine Learning University provides free, open-source AI/ML educational content for educators. New content is released regularly — subscribe to stay updated.