Ayush Garg

Machine Learning

ML Basics

  1. Pattern Recognition and Machine Learning
  2. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow

Natural Language Processing

  1. Practical Natural Language Processing
  2. Natural Language Processing with Transformers

Optimization

  1. Convex Optimization

Deep Learning

  1. Deep Learning

Reinforcement Learning

  1. Reinforcement Learning: An Introduction

MLOps

  1. Introducing MLOps
  2. Practical MLOps
  3. Machine Learning Design Patterns
  4. Kubeflow for Machine Learning

Advanced

  1. High-Dimensional Statistics: A Non-Asymptotic Viewpoint
  2. High-Dimensional Probability