FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
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Neural Networks (Ranjodh Singh Dhaliwal, et al) Post under Neural Networks
An elegant, compact book that renders visible the too-often naturalized equation of brain and computer. A critical examination of the figure of the neural network as it mediates neuroscientific and computational discourses and technical practices.
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Python for Science and Engineering (Hans-Petter Halvorsen) Post under Python Programming
This book offers a quick and incisive introduction to Python programming for anyone. It has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips.
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Reinforcement Learning: Theory and Algorithms (Alekh Agarwal) Post under Reinforcement Learning
The purpose of the course is to give an overview of the Reinforcement Learning (RL) methodology, particularly as it relates to problems of optimal and suboptimal decision and control, as well as discrete optimization.
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Using The FreeRTOS Real Time Kernel: A Practical Guide Post under Real-Time Systems, Embedded Systems, Microcontrollers, etc.
This is a concise, step by step, 'hands on' guide that describes both general multitasking concepts and FreeRTOS specifics. It presents and explains numerous examples that are written using the FreeRTOS API.
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Microcontroller Projects in C for the 8051 (Dogan Ibrahim) Post under Microcontrollers, etc., C Programming, Embedded Systems
Explore the 8051 and discover C programming through project work. Through graded projects, it introduces the reader to the fundamentals of microelectronics, the 8051 family, programming in C, and the use of a C compiler.
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Scientific Computing with MATLAB (Paul Gribble) Post under MATLAB Programming, Mathematical Software
The goal of this book is to provide you with skills in scientific computing: tools and techniques that you can use in your own scientific research. We will focus on learning to think about experiments and data in a computational framework.
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Data Science From Scratch (Steven Cooper) Post under Data Science, Data Analysis, Python Programming
The main goal is to help people take the best actionable steps possible towards a career in data science. For Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees.
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Ultimate ASP.NET Core Web API (Marinko Spasojevic, et al.) Post under Microsoft .NET Programming, C# Programming, Web API
Build fully-featured APIs with ASP.NET Core! This all-practical guide is written like a real development project, taking you hands-on with modern APIs utilizing REST and GraphQL standards.
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Linear Algebra for Computer Vision, Robotics, Machine Learning Post under Linear Algebra, Machine Learning, Computer Vision, Robotics
This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering.
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Digital Systems Design Using Verilog (Charles Roth, et al.) Post under Electronics Circuit Design, Verilog, Electronic Engineering
Integrate coverage of logic design principles, Verilog as a hardware design language, and FPGA implementation. Present Verilog constructs side-by-side with hardware, encouraging you to think in terms of desired hardware while writing Verilog.
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Real-Time Systems: Theory and Practice (Rajib Mall) Post under Real-Time Systems and Embedded Systems
This book is a comprehensive text for the design of safety critical, hard real-time embedded systems. It offers a splendid example for the balanced, integrated treatment of systems and software engineering, etc.
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Mastering Embedded Programming Languages for Engineers Post under Embedded Systems, C++ Programming, C Programming
This book explores various programming languages such as C, C++, and assembly language, and discussed their strengths and weaknesses in the context of embedded systems.
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Object-Oriented Programming in Python (M. H. Goldwasser) Post under Python Programming, Object-Oriented (OOD/OOP), Computer Programming
An intuitive and thorough guide to mastering object-oriented programming from the ground up. Cover the basics of building classes and creating objects, and put theory into practice with clear examples that help visualize the object-oriented style.
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Fractals in Probability and Analysis (Christopher J. Bishop, et al.) Post under Fractal Geometry and Fractals on Sat Dec 23, 2023
This is a mathematically rigorous introduction to Fractals which emphasizes examples and fundamental ideas. Building up from basic techniques of geometric measure theory and probability. Chapters are designed to be read independently.
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COBOL Programmer's Guide and Reference (Micro Focus) Post under COBOL Programming on Sat Dec 23, 2023
This book is a comprehensive guide designed to engage and empower readers, ensuring they not only learn COBOL but also stay curious and eager to explore its depths. You'll never feel overwhelmed as you gradually build your COBOL skills.
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The Sound of Innovation: The Computer Music Revolution Post under Computer, Digital, and Mathematical Music on Sat Dec 30, 2023
This book chronicles the history of Center for Computer Research in Music and Acoustics (CCRMA), tracing its origins in Stanford's Artificial Intelligence Laboratory through its present-day influence on Silicon Valley and digital music groups worldwide.
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Introduction to Artificial Neural Networks (Jan Larsen, et al.) Post under Neural Networks and Deep Learning on Sat Dec 30, 2023
This fundamental book on Artificial Neural Networks (ANN) has its emphasis on clear concepts, ease of understanding and simple examples. It presents a large variety of standard neural networks with architecture, algorithms and applications.
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The Cellular Automaton Interpretation of Quantum Mechanics Post under Physics and Quantum Computing on Sat Dec 30, 2023
This book presents the deterministic view of quantum mechanics developed by Nobel Laureate Gerard 't Hooft. The author gives examples of models that are classical in essence, but can be analysed by the use of quantum techniques.
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Numerical Methods for Large Eigenvalue Problems (Yousef Saad) Post under Numerical Analysis and Linear Algebra on Sat Jan 06, 2024
This book is intended for researchers in applied mathematics and scientific computing as well as for practitioners interested in understanding the theory of numerical methods used for eigenvalue problems.
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