September 2022
Beginner to intermediate
326 pages
9h 33m
English
Content preview from Practical Linear Algebra for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
A
- adding vectors, Operations on Vectors
- geometry of vector addition, Geometry of Vector Addition and Subtraction
- scalar-vector addition, Scalar-Vector Addition
- scalar-vector addition and multiplication, Linear Weighted Combination
- in vector dot product, The Vector Dot Product
- additive method (creating symmetric matrices), Creating Symmetric Matrices from Nonsymmetric Matrices
- adjugate matrix, Inverting Any Square Full-Rank Matrix
- Anaconda installer, Using Python Locally and Online
- angle (or direction) of vectors, Geometry of Vectors
- arrays
- matrix as 2D NumPy array, Matrix Operations: Transpose
- NumPy, NumPy
- vectors as NumPy arrays, Creating and Visualizing Vectors in NumPy
- averaging vectors, The geometry of vector-scalar multiplication
B
- back substitution, Gaussian Elimination, Least Squares via QR
- basis, Basis-Summary
- importance in data science and machine learning, Basis
- basis sets, Basis
- requirement of linear independence, Definition of Basis
- basis vectors, Diagonalizing a Square Matrix
- null space, Sign and Scale Indeterminacy of Eigenvectors
- orthogonal, The Big Picture of the SVD
- bike rentals, predicting (example) (see predicting bike rentals based on weather)
- Boolean type, Comparators
- broadcasting, k-Means Clustering
- outer product versus, Outer Product
- vector broadcasting in Python, Vector Broadcasting in Python
C
- Cartesian basis sets, Basis
- centroids, k-Means Clustering
- CGI movies and video games, graphics in, Geometric Transformations via Matrix-Vector Multiplication
- characteristic polynomial of a matrix ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.