Computer ScienceScience & MathematicsEconomics & FinanceBusiness & ManagementPolitics & GovernmentHistoryPhilosophy
Applied Linear Algebra
This book develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation ...
Building Energy Modeling with OpenStudio
This book teaches the fundamentals of building energy modeling and analysis using open source example applications built with the US DOE's OpenStudio modeling platform and EnergyPlus simulation engine. Designed by researchers at US National Laboratories to support a new generation of high performance buildings, EnergyPlus and OpenStudio are re...
The Data Science Design Manual
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual...
TensorFlow Roadmap
A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of TensorFlow is it flexibility is designing highly modular model which also can be a disadvanta...
C++ Notes for Professionals
The C++ Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
C# Notes for Professionals
The C# Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
Haskell Notes for Professionals
The Haskell Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
Python Machine Learning Projects
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers ...
Introduction to Python for Computational Science and Engineering
This book summarises a number of core ideas relevant to Computational Engineering and Scientific Computing using Python. The emphasis is on introducing some basic Python (programming) concepts that are relevant for numerical algorithms. The later chapters touch upon numerical libraries such as numpy and scipy each of which deserves much more space ...
The Kademlia Protocol Succinctly
With its novel XOR-based metric topology, Kademlia is the first peer-to-peer system to combine provable consistency and performance, latency-minimizing routing, and a symmetric, unidirectional topology. In The Kademlia Protocol Succinctly, author Marc Clifton leads readers through the positive aspects of Kademlia's decentralized specifications...
Cryptography in .NET Succinctly
Irresponsible ownership of data is the cause of many leaked emails, data, and other damaging information. Securing a user's personal information is the job of software developers. If you, as a developer, can decrypt the information stored in the database of the system you are working on, then so can anyone else. In Cryptography in .NET Succinc...
R Notes for Professionals
The R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
Optimizing software in C++
This is an optimization manual for advanced C++ programmers. This book are not for beginners. Topics include: - The choice of platform and operating system. - Choice of compiler and framework. - Finding performance bottlenecks. - The efficiency of different C++ constructs. - Multi-core systems. - Parallelization with vector operations. - CPU dispa...
Swift Notes for Professionals
The Swift Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
Fractional Graph Theory
A unified treatment of the most important results in the study of fractional graph concepts, this volume explores the various ways in which integer-valued concepts can be modified to derive nonintegral values. It begins with the general fractional theory of hypergraphs and presents in-depth coverage of fundamental and advanced topics. Subjects incl...
Protecting SQL Server Data
In Protecting SQL Server Data, John Magnabosco demonstrates how sensitive data, stored in SQL Server, can be protected using an efficient and maintainable encryption-based data architecture. He explains how to assess and categorize data elements according to sensitivity, regulate access to the various categories of data using database roles, vie...
JavaScript Allongé
A long pull of functions, combinators, & decorators, written in modern JavaScript. "Spent the afternoon reading @raganwald's JavaScript Allongé, the Six Edition. Highly recommended. Let the refactoring begin!" - Marcus Vorwaller "I think it's one of the best tech books I've read since Sedgewick's Algor...
Learn Programming
This book is aimed at readers who are interested in software development but have very little to no prior experience. The book focuses on teaching the core principles around software development. It uses several technologies to this goal (e.g. C, Python, JavaScript, HTML, etc.) but is not a book about the technologies themselves. The reader will le...
Financial Numerical Recipes in C++
This book is a a discussion of the calculation of specific formulas in finance. The field of finance has seen a rapid development in recent years, with increasing mathematical sophistication. While the formalization of the field can be traced back to the work of Markowitz (1952) on investors mean-variance decisions and Modigliani and Miller (1958) ...
Learning C++
C++ is a general-purpose programming language as an extension of the C programming language, or "C with Classes". It is an unofficial and free C++ ebook created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow....
Learning C#
C# is a general-purpose, modern and object-oriented programming language pronounced as "C sharp". It is an unofficial and free C# ebook created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow....
Learning R
R is a programming language and free software environment for statistical computing and graphics. It is an unofficial and free R ebook created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow....
Learning Haskell
Haskell is a general-purpose, statically typed, purely functional programming language with type inference and lazy evaluation. It is an unofficial and free Haskell book created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow....
Coding with Minecraft
You've mined for diamonds, crafted dozens of tools, and built all sorts of structures - but what if you could program robots to do all of that for you in a fraction of the time? In Coding with Minecraft, you'll create a virtual robot army with Lua, a programming language used by professional game developers. Step-by-step coding project...
Bayesian Methods for Statistical Analysis
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite po...
Clinical Pathways in Stroke Rehabilitation
This open book focuses on practical clinical problems that are frequently encountered in stroke rehabilitation. Consequences of diseases, e.g. impairments and activity limitations, are addressed in rehabilitation with the overall goal to reduce disability and promote participation. Based on the available best external evidence, clinical pathways ar...
An Introduction to Ethics in Robotics and AI
This open book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal o...
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
This open book focuses on robot introspection, which has a direct impact on physical human - robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is...
The Impact of Digital Technologies on Public Health in Developed and Developing Countries
This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: Io...
Leveraging Data Science for Global Health
This open book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emergin...
Nanoscale Photonic Imaging
This open book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work ...
Representation Learning for Natural Language Processing
This open book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introdu...

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