Mathematical Basics
1.3 Mathematical Background
In this section, we review some mathematical notations and tools used throughout this book, including logarithms, big-Oh notation, and probability theory. This review will be brief and is not intended...
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Math
\[ \newcommand{\sumN}{\sum_{n = 1}^N} \newcommand{\sumn}{\sum_n} \newcommand{\prodN}{\prod_{n = 1}^N} \newcommand{\by}{\mathbf{y}} \newcommand{\bX}{\mathbf{X}} \newcommand{\bx}{\mathbf{x}} \newcomman...
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Mathematical concepts
Combinatorics Factorial The factorial n ! n! n ! of a given integer n n n is defined as follows: n ! ≜ n × ( n − 1 ) × . . . × 2 × 1 \boxed{n!\triangleq n\times(n-1)\times...\times2\times1} n ! ≜ ...
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The Fundamental Mathematics of Machine Learning
Table Of Contents · Overview ∘ Brief Overview of the Importance of Math in ML · Importance of Math in Machine Learning ∘ Linear Algebra and Calculus in ML · Vector Norms · Linear Algebra in ML ∘ Basic...
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50 Mathematical Concepts For Better Programming (Part 4)
Let’s learn the Mathematics that forms the basis of Computer science Continue reading on Level Up Coding
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5 Mathematical Concepts For Better Programming
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50 Mathematical Concepts For Better Programming (Part 6)
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50 Mathematical Concepts For Better Programming (Part 5)
Let’s learn the Mathematics that forms the basis of Computer Science Continue reading on Level Up Coding
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Mathematics for Data Science
A list of resources to build the mathematical background necessary to get up and running in data science practical/research work.
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50 Mathematical Concepts For Better Programming (Part 12)
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50 Mathematical Concepts For Better Programming (Part 8)
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Applied Math and Machine Learning Basics
This is the first article in a series of Machine Learning articles. In this article, we start from one of the most basic but an integral part of machine learning that is Linear Algebra. We will…
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