Machine Learning Area

Rustam-Z🚀 • Find more here

1% better every day = 3700% better at the end of the year

The goal is to solve problems and help society with the help of AI.

Why should you learn Machine Learning?

First of all, understand the difference between AI / Data Science / Machine Learning

I found two good answers on why you should care. Firstly, Machine Learning (ML) is making computers do things that we’ve never made computers do before. If you want to do something new, not just new to you, but to the world, you can do it with ML.

Secondly, if you don’t influence the world, the world will influence you.

If you focus on results, you will never change. If you focus on change, you will get results.

How to study?

• First, learn to learn.
• Thinking of Self-Studying Machine Learning? Remind yourself of these 6 things
• How to Learn Machine Learning

Roadmap

• Math (Calculus, Linear Algebra, Propability & Statistics)
  • Calculus, Don't Memorize
  • Caclulus, 3Blue1Brown
  • Linear Algebra, 3Blue1Brown
  • Statistics & Probability
• Python
  • My Python learning roadmap
  • NumPy, Pandas, Matplotlib
  • 10 minutes to Pandas
• Machine Learning
  • "Deep learning with Python", book, 1^st part
  • Machine Learning Course, Andrew Ng, coursera.org
  • Scikit-Learn
    • freeCodeCamp.org
    • https://inria.github.io/scikit-learn-mooc/
    • https://scikit-learn.org/stable/tutorial/index.html
• Deep Learning - Start solving Kaggle
  • TensorFlow Developer Specialization, deeplearning.ai, coursera.org
  • OR "AI and Machine Learning for Coders", book
  • "Deep learning with Python", book, 2^nd part
  • "Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow", book
  • fast.ai
  • "Deep learning", MIT press, book
  • Deep Learning Specialization, Andrew Ng, coursera.org
  • TensorFlow Advanced Techniques, deeplearning.ai, coursera.org
• Data Science
  • "Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython", book
  • "Python Data Science Handbook", book
• More
  • Applied Machine Learning: https://machinelearningmastery.com/start-here

ML Cheatsheets

• Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data numpy, pandas, sklearn, ml, dl
• Machine Learning

Please, consider this repository for contributing too!