Introduction To Vectors Matrices And Tensors
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Introduction to Vectors, Matrices and Tensors
The theoretical assumptions of the following mathematical topics are presented in this book: vectors and vector calculus matrices and matrix calculus vector and matrix spaces mathematics and tensor calculus
Machine Learning with Python Cookbook
Author: Chris Albon
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2018-03-09
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics. Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications. You’ll find recipes for: Vectors, matrices, and arrays Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naïve Bayes, clustering, and neural networks Saving and loading trained models
Vector and Tensor Analysis with Applications
Author: A. I. Borisenko
language: en
Publisher: Courier Corporation
Release Date: 2012-08-28
Concise, readable text ranges from definition of vectors and discussion of algebraic operations on vectors to the concept of tensor and algebraic operations on tensors. Worked-out problems and solutions. 1968 edition.