Free Artificial Intelligence Course for Beginners from Microsoft with Codes and Videos

https://github.com/microsoft/generative-ai-for-beginners

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Motivational Text:
Embark on your journey into the world of Artificial Intelligence with this free beginner-friendly course from Microsoft! Whether you're new to AI or looking to strengthen your foundational knowledge, this course offers step-by-step guidance, practical codes, and video tutorials to help you master the basics of generative AI. Start learning today and unlock your potential in the ever-evolving field of technology! ⭐️💻 #AIForEveryone #TechEducation #FutureSkills

https://t.me/CodeProgrammer

📕 Think Python, 3rd Edition: Master Python Programming with Jupyter Notebooks! 🐍⭐️

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☄️ Why This Book?
- Learn by Doing: Perfect for beginners and coders upgrading to Python 3! Hands-on examples, exercises, and projects.
- Jupyter Notebook Edition: Entire book redesigned as interactive notebooks! Run code, visualize results, and experiment live.
- Free & Open Source: Licensed under CC BY-NC-SA—download, share, and contribute!
- From a Pro: Authored by Allen Downey, computer science professor and creator of the legendary *Think Series* (*Think Stats*, *Think Bayes*).
- Clear & Engaging: Simplifies complex concepts with humor and real-world analogies.

📈 New in the 3rd Edition:
- Updated for modern Python 3 practices.
- Fully integrated Jupyter notebooks for interactive learning.
- Expanded exercises and case studies.

👩‍💻 Perfect For:
- New programmers starting with Python.
- Educators teaching coding or data science.
- Data enthusiasts who want to code smarter.

🔗 Get It Now:
👉 Web Version: https://allendowney.github.io/ThinkPython/

🧑‍💻 GitHub Repo: https://github.com/AllenDowney/ThinkPython3

#Python3 #CodeForFree #InteractiveLearning — Unlock Python’s power, one notebook at a time! ⭐️👩‍💻

https://t.me/CodeProgrammer ⭐️

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Applied Machine Learning in Python: a Hands-on Guide with Code 🧠

🚀 Exciting news! free, online e-book has been updated with fresh theory 📕, detailed illustrations 🎨, well-documented demos 📝, links to YouTube lectures 🎥, and interactive dashboards 📊!

Each chapter is downloadable 📥, making it easy for you to dive in, learn, and complete your #DataScience projects efficiently! 🧑‍💻

Explore it now: https://geostatsguy.github.io/MachineLearningDemos_Book/intro.html

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https://t.me/CodeProgrammer

Practical Deep Learning

A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.
New!

Enroll Free: https://course.fast.ai/

#DeepLearning #MachineLearning #FreeCourse #CodingSkills #AI #ArtificialIntelligence #PracticalAI #TechEducation #LearnToCode #DataScience #NeuralNetworks #PythonProgramming #TechInnovation #SelfPacedLearning #FutureSkills

https://t.me/CodeProgrammer 👩‍💻

📚 Become a professional data scientist with these 17 resources!



1️⃣ Python libraries for machine learning

◀️ Introducing the best Python tools and packages for building ML models.

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2️⃣ Deep Learning Interactive Book

◀️ Learn deep learning concepts by combining text, math, code, and images.

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3️⃣ Anthology of Data Science Learning Resources

◀️ The best courses, books, and tools for learning data science.

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4️⃣ Implementing algorithms from scratch

◀️ Coding popular ML algorithms from scratch

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5️⃣ Machine Learning Interview Guide

◀️ Fully prepared for job interviews

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6️⃣ Real-world machine learning projects

◀️ Learning how to build and deploy models.

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7️⃣ Designing machine learning systems

◀️ How to design a scalable and stable ML system.

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8️⃣ Machine Learning Mathematics

◀️ Basic mathematical concepts necessary to understand machine learning.

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9️⃣ Introduction to Statistical Learning

◀️ Learn algorithms with practical examples.

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1️⃣ Machine learning with a probabilistic approach

◀️ Better understanding modeling and uncertainty with a statistical perspective.

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1️⃣ UBC Machine Learning

◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,

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1️⃣ Deep Learning with Andrew Ng

◀️ A strong start in the world of neural networks, CNNs and RNNs.

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1️⃣ Linear Algebra with 3Blue1Brown

◀️ Intuitive and visual teaching of linear algebra concepts.

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🔴 Machine Learning Course

◀️ A combination of theory and practical training to strengthen ML skills.

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1️⃣ Mathematical Optimization with Python

◀️ You will learn the basic concepts of optimization with Python code.

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1️⃣ Explainable models in machine learning

◀️ Making complex models understandable.

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⚫️ Data Analysis with Python

◀️ Data analysis skills using Pandas and NumPy libraries.

#DataScience #MachineLearning #DeepLearning #Python #AI #MLProjects #DataAnalysis #ExplainableAI #100DaysOfCode #TechEducation #MLInterviewPrep #NeuralNetworks #MathForML #Statistics #Coding #AIForEveryone #PythonForDataScience

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Open Guide to Data Structures and Algorithms

A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively.

Read it here:
https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms

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📢 5-Day Generative AI Intensive Course with #Google is now available as a self-paced Learn Guide!

Access whitepapers, podcasts, code labs, & recorded livestreams. Additionally, there is a bonus assignment for you!
https://www.kaggle.com/learn-guide/5-day-genai

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