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Beginning R: An Introduction to Statistical Programming
Beginning R: An Introduction to Statistical Programming

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,...

Python Data Analysis
Python Data Analysis

Learn how to apply powerful data analysis techniques with popular open source Python modules

About This Book

  • Learn how to find, manipulate, and analyze data using Python
  • Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python...
Introduction to Computational Models with Python (Chapman & Hall/CRC Computational Science)
Introduction to Computational Models with Python (Chapman & Hall/CRC Computational Science)

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such...

Mastering Machine Learning With scikit-learn
Mastering Machine Learning With scikit-learn

Apply effective learning algorithms to real-world problems using scikit-learn

About This Book

  • Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering
  • Acquaint yourself with popular machine learning algorithms, including...
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...
Linear Algebra: A Geometric Approach
Linear Algebra: A Geometric Approach
One of the most enticing aspects of mathematics, we have found, is the interplay of ideas from seemingly disparate disciplines of the subject. Linear algebra provides a beautiful illustration of this, in that it is by nature both algebraic and geometric. ...
Pixel Art for Game Developers
Pixel Art for Game Developers

Is the art for your video game taking too long to create? Learning to create Pixel Art may be the answer to your development troubles. Uncover the secrets to creating stunning graphics with Pixel Art for Game Developers. The premier how-to book on Pixel Art and Pixel Art software, it focuses on the universal principles of the...

Practical Data Science with R
Practical Data Science with R

Summary

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language...

Matrix Algorithms, Volume I
Matrix Algorithms, Volume I
This book, Basic Decompositions, is the first volume in a projected five-volume series entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.

My intended audience is the nonspecialist
...
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing

Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today. The level and depth of recent advances in the area and the wide...

An Introduction to Numerical Analysis for Electrical and Computer Engineers
An Introduction to Numerical Analysis for Electrical and Computer Engineers
An engineer’s guide to numerical analysis

To properly function in today’s work environment, engineers require a working familiarity with numerical analysis. This book provides that necessary background, striking a balance between analytical rigor and an applied approach focusing on methods particular to the solving of engineering...

Discrete Mathematics for Computing (Grassroots)
Discrete Mathematics for Computing (Grassroots)
This book is an introductory text on a number of topics in discrete mathematics, intended primarily for students undertaking a first degree in computing. The first edition of the book grew out of a set of lecture notes of mine which were used in a first-year subject in discrete mathematics at Monash University. The subject was taken by students...
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