Start Learning AI and ML

AI and ML Resources

📝 To study

1. Maths:

   • linear Algebra
   • Statistics
   • Probability

2. ML:

   • Supervised learning
   • Unsupervised learning
   • Reinforcement learning

3. Deep learning:

   • Deep learning (basics)
   • Deep Reinforcement learning

💻 For the coding part:

• Python (of course 😃 )
• Numpy
• Pandas or Polars
• Sklearn
• PyTorch or Tensorflow
• GPyTorch
• PyTorch Geometric

🎥 Youtube Channel

• ML

  • Soufi_AI_geria
  • Machine Intelligence - Prof H.R.Tizhoosh → Kimia Lab
  • StatQuest with Josh Starmer
  • Tübingen Machine Learning
  • Stanford Online
  • MIT OpenCourseWare
  • serrano academy
  • Krish Naik
  • edureka!

• Computer Vision

  • First Principles of Computer Vision
  • Self-Driving Cars: Self-Driving Cars - Lecture ( Tübingen Machine Learning)

• NLP

  • Andrej Karpathy
  • Stanford CS224N: NLP with Deep Learning

• Others

  • 3Blue1Brown
  • Oxford Mathematics
  • Institut des Hautes Études Scientifiques (IHÉS)
  • Two minute papers
  • Lex Fridman
  • sentdex

📚 Books

• Pattern Recognition and Machine Learning Christopher M. Bishop
• Matrix Analysis by Roger A. Horn and Charles R. Johnson
• probabilistic machine learning advanced topics by kevin patrick murphy
• Artificial Intelligence: A Modern Approach, 4th US ed. by Stuart Russell and Peter Norvig
• Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
• Introduction to Artificial Inteligence by Wolfgang Ertel

🗒️ Interview Questions

• ML Stack Cafe
• Simplilearn

🏫 Summer School

• https://github.com/sshkhr/awesome-mlss

Others Links

• Machine Learning for Neuroscience Translational Machine Intelligence Lab
• https://www.carmin.tv/en/
• https://github.com/eugeneyan/applied-ml
• https://paperswithcode.com/
• Roadmap
• https://github.com/AMAI-GmbH/AI-Expert-Roadmap
• https://github.com/markredito/selfstudy-roadmap-ml-ai
• https://github.com/ZhiningLiu1998/awesome-machine-learning-resourc
• https://github.com/datascienceid/machine-learning-resources

Advice for machine learning beginners | Andrej Karpathy and Lex Fridman