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Mathematics of Machine Learning

You're reading from   Mathematics of Machine Learning Master linear algebra, calculus, and probability for machine learning

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781837027873
Length 730 pages
Edition 1st Edition
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Author (1):
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Tivadar Danka Tivadar Danka
Author Profile Icon Tivadar Danka
Tivadar Danka
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Toc

Table of Contents (36) Chapters Close

Introduction Part 1: Linear Algebra FREE CHAPTER
1 Vectors and Vector Spaces 2 The Geometric Structure of Vector Spaces 3 Linear Algebra in Practice 4 Linear Transformations 5 Matrices and Equations 6 Eigenvalues and Eigenvectors 7 Matrix Factorizations 8 Matrices and Graphs References
Part 2: Calculus
9 Functions 10 Numbers, Sequences, and Series 11 Topology, Limits, and Continuity 12 Differentiation 13 Optimization 14 Integration References
Part 3: Multivariable Calculus
15 Multivariable Functions 16 Derivatives and Gradients 17 Optimization in Multiple Variables References
Part 4: Probability Theory
18 What is Probability? 19 Random Variables and Distributions 20 The Expected Value References
Part 5: Appendix
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Index
Appendix A It’s Just Logic 1. Appendix B The Structure of Mathematics 2. Appendix C Basics of Set Theory 3. Appendix D Complex Numbers

13.1 Minima, maxima, and derivatives

Intuitively, the notion of minima and maxima is simple. Take a look at Figure 13.1 below.

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Figure 13.1: Local and global optima

Peaks of hills are the maxima, and the bottoms of valleys are the minima. Minima and maxima are collectively called extremal or optimal points. As our example demonstrates, we have to distinguish between local and global optima. The graph has two valleys, and although both have a bottom, one of them is lower than the other.

The really interesting part is finding these, as we’ll see next. Let’s consider our example above to demonstrate how derivatives are connected to local minima and maxima.

If we use our geometric intuition, we see that the tangents are horizontal at the peaks of the hills and the bottoms of the valleys. Intuitively, if the tangent line is not horizontal, then there’s an elevation or decline in the graph. This is illustrated by Figure 13.2.

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Figure 13.2: Tangents...
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