mitchelljphayes

[
  {
    "question": "What are the two types of data (and machine learning models) discussed in the chapter?",
    "answer": "Supervised data and unsupervised data."
  },
  {
    "question": "What distinguishes supervised data from unsupervised data?",
    "answer": "Supervised data always has one or multiple targets associated with it, while unsupervised data does not have any target variable."
  },
  {

mitchelljphayes

MATHEMATICS FOR MACHINE LEARNING 
Marc Peter Deisenroth 
A. Aldo Faisal 
Cheng Soon Ong
Contents 
Foreword 1 
Part I Mathematical Foundations 9 
1 Introduction and Motivation 11 1.1 Finding Words for Intuitions 12 1.2 Two Ways to Read This Book 13 1.3 Exercises and Feedback 16 
2 Linear Algebra 17 2.1 Systems of Linear Equations 19 2.2 Matrices 22 2.3 Solving Systems of Linear Equations 27 2.4 Vector Spaces 35 2.5 Linear Independence 40 2.6 Basis and Rank 44 2.7 Linear Mappings 48 2.8 Affine Spaces 61 2.9 Further Reading 63 Exercises 64 
3 Analytic Geometry 70 3.1 Norms 71 3.2 Inner Products 72 3.3 Lengths and Distances 75 3.4 Angles and Orthogonality 76 3.5 Orthonormal Basis 78 3.6 Orthogonal Complement 79 3.7 Inner Product of Functions 80 3.8 Orthogonal Projections 81 3.9 Rotations 91 3.10 Further Reading 94 Exercises 96