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Free Computer, Mathematics, Technical Books and Lecture Notes, etc.


Reinforcement Learning: An Introduction, 2018 Edition (Draft)
Post under Machine Learning on Sat Nov 25, 2017
This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.

Mapping and the Citizen Sensor (Giles Foody, et al)
Post under Geographic Information System (GIS) and Web Mapping on Sat Nov 25, 2017
The proliferation of inexpensive and highly mobile and location aware devices together with Web 2.0 technology have fostered the emergence of the citizen as a source of data. Mapping activities have benefitted greatly from advances in geoinformation technologies.

Application of Geographic Information Systems (GIS)
Post under Geographic Information System (GIS) and Web Mapping on Sat Nov 25, 2017
This book blends together the theories of GIS and their practical implementations in different conditions. It deals with GIS's application in the broad spectrum of geospatial analysis and modeling, water resources analysis, land use analysis, and such.

A Course in Machine Learning, 2017 Edition (Hal Daume III)
Post under Machine Learning on Sat Nov 18, 2017
This is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).

Introduction to Data Science (Jeffrey Stanton)
Post under Data Science on Sat Nov 18, 2017
This book provides nontechnical readers with a gentle introduction to essential concepts and activities of data science. Provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.

Statistical Foundations of Machine Learning (Gianluca Bontempi)
Post under Statistics and Machine Learning on Sat Nov 04, 2017
This book aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. All the examples are implemented in the statistical programming language R.

The Brain of the Computer (Jim Buchanan)
Post under Computer Architecture and Personal Computers (PC) on Sat Nov 04, 2017
The purpose of the book is to take a basic computer system and show you how every part works. It is taught from a technicians point of view, not an engineer's. It covers electronic components, logic circuits, CPU, computer system, assembly language, etc.

ZenStyle Programming (Nils M. Holm)
Post under Functional Programming and Computer Programming on Sat Nov 04, 2017
This book introduces the concepts of functional and symbolic programming, applies these techniques to some problems of varying complexity, and eventually discusses the implementation of an abstraction layer for solving problems.

Migrating to CloudNative Application Architectures (Matt Stine)
Post under Cloud Computing and Software Design Patterns on Sat Nov 04, 2017
Defines the unique characteristics of cloudnative application architectures such as microservices and twelvefactor applications, and examines the cultural, organizational, and technical changes necessary to migrate to cloudnative architectures.

Internet of Things (IoT) in 5 Days (Antonio Linan Colina, et al)
Post under Computer Networks, IPv6, and Wireless Computing on Sat Oct 28, 2017
This booklet is a quick but thoughtful guide to jump into the Internet of Things (IoT), covering important subjects as IPv6 networking, sensors, wireless protocols and technologies, as well as IoT cloud platforms and its most commonly used protocols, etc.

Fast Fourier Transforms (C. Sidney Burrus, et al)
Post under Fourier Transforms and Digital Signal Processing (DSP) on Sat Oct 28, 2017
This book focuses on the Discrete Fourier Transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them. Topics on digital signal processing since its beginning, and new results in hardware, theory and applications, etc.

Linux Appliance Design: A HandsOn Guide (Bob Smith, et al)
Post under Embedded Systems and Linux Programming on Sat Oct 28, 2017
This book shows how to build better appliances  with more types of interfaces, more dynamic interfaces, and better debugged interfaces. You'll learn how to build backend daemons, handle asynchronous events, and connect various user interfaces.

DevOps for Finance (Jim Bird)
Post under DevOps, Software Practices, Financial Engineering on Sat Nov 04, 2017
Aims to debunk that myth by showing how the finance industry can benefit from DevOps practices and perform a greater degree of automation by implementing DevOps properly. It explains DevOps benefits that are far more important for the financial services.

Elementary Number Theory: Primes, Congruences, and Secrets
Post under Number Theory and Computational Software on Sat Nov 04, 2017
This is a book about prime numbers, congruences, secret messages, and elliptic curves that you can read cover to cover. Many numerical examples are given throughout the book using the Sage mathematical software.

An Introduction to the Theory of Numbers (Leo Moser)
Post under Number Theory and Elementry Mathematics on Sat Nov 04, 2017
This book, which presupposes familiarity only with the most elementary concepts of arithmetic (divisibility properties, greatest common divisor, etc.), is an expanded version of a series of lectures for graduate students on elementary number theory.




















