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Introduction to Machine Learning it is a theory based course in which we practice mathematical concepts and algorithms of machine learning and their practical implemetation

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ajeetkbhardwaj/Learning-to-Master-Artificial-Intelligence

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Learning to Master Artificial Intelligence

Machine Learning - Frameworks

1. HuggingFace for Machine Learning

  1. What is HuggingFace ?

2. Kaggle for Data Science

Labs : Hands on Practices

Programming for AI

[Lab-0 : ](Practical ML by Ashish Tendulkar/readme.md)

Mathematics for AI

Machine Learning Frameworks

  1. Lab-11 :

Programming for AI

Programming for AI

Programming for AI

Programming for AI

Programming for AI

Programming for AI

Courses

Stanford CS 224N | Natural Language Processing with Deep Learning

Resources

Overview - Stanza

References and Acknowledgements

  1. Gradient Flow - Borealis AI
  2. The Neural Tangent Kernel - Borealis AI
  3. Neural Tangent Kernel Applications - Borealis AI
  4. Bayesian Machine Learning: Parameter Space - Borealis AI
  5. Bayesian Machine Learning: Function Space - Borealis AI
  6. Large Language Models - Transformers

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Introduction to Machine Learning it is a theory based course in which we practice mathematical concepts and algorithms of machine learning and their practical implemetation

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