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



Seeing Theory: A Visual Introduction to Probability and Statistics
Post under Statistics and Probability on Sat Sep 14, 2019
The goal of this book is to make statistics more accessible through interactive visualizations (using D3.js). It visualizes the fundamental concepts covered in an introductory college statistics or Advanced Placement statistics class.

Graph Databases for Beginners (Bryce Merkl Sasaki, et al)
Post under Nonrelational and NoSQL Databases on Sat Sep 14, 2019
This book takes those new to the world of connected data through the basics of graph technology  whether you're a business executive or a seasoned developer, something has led you on the quest to learn more about graph technology  what it does for you.

Graph Databases and Neo4J (Anna Turu Pi, et al)
Post under Nonrelational and NoSQL Databases on Sat Sep 14, 2019
The aim of this book is to compare graph databases to the main DBMSs to pinpoint the use cases it is more suitable for. In order to prove their effectiveness, a database using the same data set has been implemented both in Neo4j and SQL Server.

The Elements of Statistical Learning: Data Mining, Inference, etc.
Post under Machine Learning and Statistics on Sat Sep 14, 2019
This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics.

Bayesian Methods for Statistical Analysis (Borek Puza)
Post under Statistics and Mathematical Statistics on Sat Sep 14, 2019
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. It contains many exercises, all with worked solutions, including complete computer code.

Learn Python, Break Python: A Beginner's Guide to Programming
Post under Python Programming and Computer Programming on Sat Sep 07, 2019
This book is a handson introduction to the Python programming language, written for people who have no experience with programming whatsoever. You don't need to worry. Learning how to program a computer is far from impossible.

Graph Algorithms: Practical Examples in Apache Spark and Neo4j
Post under Graph Theory and Algorithms on Sat Sep 07, 2019
This book is a practical guide to getting started with graph algorithms for developers and data scientists who have experience using Apache Spark or Neo4j. You'll walk through handson examples that show you how to use graph algorithms in Apache Spark/Neo4j.

React Enlightenment (Cody Lindley)
Post under JavaScript Frameworks (Node.js, React.js, Angular, ...) on Sat Sep 07, 2019
If you want to learn how to build efficient user interfaces with React, this is your book. it show you how to create UIs with this small JavaScript library that can deftly display data changes on largescale, datadriven websites without page reloads.

Flutter Tutorials Handbook (Raunak Hajela)
Post under Mobile Devices Programming, Android, iOS on Sat Sep 07, 2019
This book explores what Flutter has to offer, where it came from, and where it's going. You will begin by getting a solid foundation of Flutter knowledge, and building on it immediately by constructing two more traditional productivity apps.

React Indepth (DevelopmentARC)
Post under JavaScript Frameworks (Node.js, React.js, Angular, ...) on Sat Sep 07, 2019
The goal of this book is to document our process, share our research and try to organize our experiences into a single living document. Too be honest, this is a pretty lofty goal. We may not achieve this goal, but hopefully we can get some helpful thoughts down.

An Introduction to Neural Networks (Kevin Gurney)
Post under Neural Networks and Deep Learning on Sat Sep 07, 2019
With an easy to understand format using graphical illustrations and multidisciplinary scientific context, this book fills the gap in the market for neural networks for multidimensional scientific data, and relates neural networks to statistics.

Neural Networks (Rolf Pfeifer, et al)
Post under Neural Networks and Deep Learning on Sat Sep 07, 2019
Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic neural network concepts.

Discovering the STM32 Microcontroller (Geoffrey Brown)
Post under Microcontrollers and Embedded Systems on Sat Sep 07, 2019
This book is a handson manual for learning how to design systems using the STM32 F1 family of microcontrollers, focuses on developing code to utilize the various peripherals available in STM32 F1 microcontrollers and in particular the STM32VL Discovery board.

Rethinking Public Key Infrastructures and Digital Certificates
Post under Cryptography, Cryptology, and Cryptanalysis on Sat Sep 07, 2019
In this book, the author proposes cryptographic building blocks for the design of digital certificates that preserve privacy without sacrificing security.

A Companion to Digital Humanities (Susan Schreibman, et al)
Post under Miscellaneous and Uncategorized on Sat Sep 07, 2019
This book is focusing on the experience of particular disciplines in applying computational methods to humanities research problems; the basic principles of humanities computing across applications and disciplines; specific applications and methods; and production, dissemination, and archiving.

Time To Find A New Job (Gavin F. Redelman)
Post under Professional Careers and Job Interviews on Sat Sep 07, 2019
This book provides you with proven advice, tips and strategies to help you through the job process including: resume writing, strategies, the point of the cover letter, creating that professional image through your social networks, etc.




















