Machine-Learning-Interviews-Problems-And-Solutions

Contents

1. Maths
   • Vector
   • Matrices
   • Calculus and Convex Optimization
   • Statistics
   • Probability
2. Computer Science
   1. Algorithms
   2. Complexity and Numerical Analysis
3. Machine Learning
   • Classical Machine Learning
   • Dimensionality Reduction
   • Machine Learning Workflows
     • Basics
     • Sampling and Creating Training Data
   • Objective Functions and Performance Metrices
4. Deep Learning
   • Training a Neural Network
   • Natural Language Processing
   • Coputer Vision
   • Reinforcement Learning
   • Advanced Topics