FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World



Neural Network Design (Martin T. Hagan)
Post under Neural Networks on Sat Mar 26, 2016
This book provides a clear and detailed coverage of fundamental neural network architectures and learning rules. It emphasizes a coherent presentation of the principal neural networks, methods for training them and their applications to practical problems.

Python for Econometrics, Statistics and Data Analysis
Post under Python Programming, Data Analysis, and Financial Engineering on Sat Mar 26, 2016
This book provides an introduction to Python for a beginning programmer. They may also be useful for an experienced Python programmer interested in using NumPy, SciPy, and matplotlib for numerical and statistical analaysis.

Leaflet.js Succinctly: Introduction to Web Mapping (Mark Lewin)
Post under JavaScript Frameworks and Web Mapping on Sat Mar 26, 2016
This introduction to Leaflet.js will teach key concepts of the software and critical techniques in order to help you develop webready interactive maps. It is the first step on the road to producing the best interactive maps you possibly can.

Advanced Algebra (Anthony W. Knapp)
Post under Algebra, Abstract Algebra, and Linear Algebra on Sat Mar 26, 2016
This book is on modern algebra which treat various topics in commutative and noncommutative algebra and provide introductions to the theory of associative algebras, homological algebras, algebraic number theory, and algebraic geometry.

Basic Algebra (Anthony W. Knapp)
Post under Algebra, Abstract Algebra, and Linear Algebra on Sat Mar 26, 2016
This book is on Preliminaries about the Integers, Polynomials, and Matrices; Vector Spaces over Q, R, and C; InnerProduct Spaces; Groups and Group Actions; Theory of a Single Linear Transformation; Multilinear Algebra; Advanced Group Theory; etc.

Delphi Succinctly (Marco Breveglieri)
Post under Pascal and Delphi Programming on Sat Mar 26, 2016
Learn the fundamentals of Delphi to build a variety of solutions for many devices and platforms. It provides you with an overview of Delphi, its principles, its environment, and its use of Object Pascal language so that you can harness its versatility.

Machine Learning and Data Mining (Aaron Hertzmann)
Post under Machine Learning and Data Mining on Sat Mar 19, 2016
This is an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. It offers a grounding in machine learning concepts as well as practical advice on techniques in realworld data mining.

Why Agile Works: The Values Behind the Results
Post under Agile, Scrum, Kanban, Extreme Programming (XP), etc. on Sat Mar 19, 2016
Why do some companies excel with agile and others see virtually no improvement? The difference is culture and an understanding that agile is a framework for deep cultural change instead of a process or set of practices to increase efficiency.

SurviveJS: Webpack and React: From Apprentice to Master
Post under JavaScript Frameworks on Sat Mar 12, 2016
Facebook's React powers an increasing amount of sites. Combined with Webpack, a bundling tool, you have a powerful frontend development environment in your hands. In this book you will build a little Kanban application to get familiar with them.

Database Lifecycle Management: Achieving Continuous Delivery
Post under Database Theory and Systems on Sat Mar 12, 2016
This book describes how to apply the business and technical approaches of Database Lifecycle Management (DLM) in order to make database change management processes more visible, predictable and measurable.

A Course in Machine Learning (Hal Daume III)
Post under Machine Learning on Sat Mar 12, 2016
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.).

Deep Learning Tutorials (LISA Lab)
Post under Machine Learning on Sat Mar 12, 2016
The tutorials presented here will introduce you to some of the most important deep learning algorithms and will also show you how to run them using Theano. Theano is a python library that makes writing deep learning models easy, and gives the option of training them on a GPU.
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