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FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
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Programming in D (Ali Cehreli)
Post under New and Miscellaneous Computer/Programming Languages
on Sat Jan 26, 2019
This book is a comprehensive introduction to D Programming Language. It covers all aspects of the language (such as expressions, statements, types, functions, contracts, and modules), but it is much more than an enumeration of features.
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Software Architecture Patterns (Mark Richards)
Post under Software Design and Patterns
on Sat Jan 19, 2019
This book takes a deep dive into many common software architecture patterns. Each pattern includes a full explanation of how it works, explains the pattern's benefits and considerations, and describes the circumstances and conditions it was designed to.
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Creative Scala (Dave Gurnell, et al)
Post under Scala Programming Language
on Sat Jan 19, 2019
Our goal is to demonstrate the building blocks that Scala developers use to create programs in a clear, succinct, and declarative manner. Working through the exercises in Scala and have a feel of how the functional programming mindset works.
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Cloud Computing for Science and Engineering (Ian Foster, et al)
Post under Cloud Computing
on Sat Jan 12, 2019
This book helps make the cloud computing ecosystem comprehensible for scientist and engineer alike. It provides an introduction to concepts, an explanation of systems, clean code examples in Python, and even downloadable Jupyter notebooks.
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Introduction to Probability, Statistics, and Random Processes
Post under Probability and Statistics
on Sat Jan 12, 2019
This book introduces students to probability, statistics, and stochastic processes. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.
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Data-Oriented Design (Richard Fabian)
Post under Software Design and Game Programming
on Sat Jan 05, 2019
This book is a practical guide for serious game developers. It is for game developers working to create triple A titles across multiple platforms, in fact, for anyone who develops cutting edge software in restrictive hardware.
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Python Deep Learning (Valentino Zocca, et al)
Post under Deep Learning and Python Programming
on Sat Jan 05, 2019
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. This book will give you all the practical information available on the subject, including the best practices, using real-world use cases.
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Natural Language Processing Succinctly (Joseph Booth)
Post under Natural Language Processing
on Sat Jan 05, 2019
This book will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.
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Geographic Information System Basics (Jonathan Campbell)
Post under Geographic Information System (GIS) and Web Mapping
on Sat Jan 05, 2019
From the melting of the polar ice caps to privacy issues associated with mapping, this book provides a gentle, yet substantive, introduction to the use and application of digital maps, mapping, and GIS.
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Essential Engineering Mathematics (Michael Batty)
Post under High School and Engineering Mathematics
on Sat Jan 05, 2019
The aim is more to highlight and explain some areas commonly found difficult, such as calculus, and to ease the transition from school level to university level mathematics, where sometimes the subject matter is similar, but the emphasis is usually different.
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Game Research Methods: An Overview (Petri Lankoski, et al)
Post under Computer and Video Game Programming
on Sat Jan 05, 2019
This book provides an introduction to various game research methods that are useful to students in all levels of higher education covering both quantitative, qualitative and mixed methods.
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Computer Vision (Dana H. Ballard, et al)
Post under Computer and Machine Vision
on Sat Jan 05, 2019
This book is the construction of explicit, meaningful descriptions of physical objects from images. Image understanding is very different from image processing, which studies image-to-image transformations, not explicit description building.
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Mathematical Linguistics (Andras Kornai)
Post under Computational Linguistics
on Sat Jan 05, 2019
This book introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing (NLP). It presents linguistics as a cumulative body of knowledge from the ground up.
