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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

11
Topology, Limits, and Continuity

In the previous chapter, we learned all (that’s relevant to us) about numbers, sequences, and series. These are the foundational objects of calculus: numbers define sequences, sequences define limits, and limits define almost every quantity that interests us. However, there’s a snag. Let’s look ahead and take a look at the definition of the derivative:

 ′ f-(x-)−-f(y) f (y) = xli→my x − y

If you’re feeling a sense of déjà vu, don’t be surprised. We looked at this exact formula in the introduction of the previous chapter as well, and we are much closer to understanding it. We have learned about limits, but there seems to be an issue: limits were defined in terms of sequences, and the expression limxywhatever(x) does not seem to be it.

What is it, then? This is what we’ll learn in this chapter, starting with the topology of real numbers. Let’s go!

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