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FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical eBooks all over the World
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Graph Neural Networks for Machine Learning Engineers
Post under Neural Networks and Machine Learning
Graph Neural Networks (GNNs) are deep neural networks designed for graphs with attributes attached to nodes or edges. Introduce GNNs through the encoder-decoder framework and provides examples of decoders for a range of graph analytic tasks.
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Performance Engineering Using Java Modelling Tools (JMT)
Post under Software Engineering, Advanced Java, Java Enterprise
This open access book improves the users' skills needed to implement models for performance evaluation of digital infrastructures with simulation and analytical techniques from the open source Java Modelling Tools (JMT).
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Beyond Signals: Revolutionary Fourier Transform Applications
Post under Digital Signal Processing (DSP) and Fourier Transforms
Fourier Transform is a fundamental mathematical framework that has revolutionized numerous scientific and technological domains. this open access book presents an in-depth analysis of its profound influence on modern research and industry.
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Architecting a Framework for Edge Artificial Intelligence (Edge AI)
Post under Artificial Intelligence (AI)
This open access book presents a comprehensive exploration of the functional and non-functional requirements that define Edge Artificial Intelligence (Edge AI) systems, including technical, ethical, legal, and regulatory dimensions.
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A Course in Field Theory (Pierre van Baal)
Post under Physics, Computational Physics, and Mathematical Physics
Gives students working knowledge and an understanding of the theory of particles and fields, with a description of the Standard Model toward the end. Explains how Feynman rules are derived from first principles, an essential ingredient of any field theory.
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Data Mining with R: Learning with Case Studies (Luis Torgo)
Post under Optimization and Python Programming
Introduce the reader to the use of R as a tool for performing data mining and statistical computing and graphics. The large set of available packages make this tool an excellent alternative to the existing (and expensive!) data mining tools.
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Bootstrap Methods and Applications to R (A. C. Davison, et al.)
Post under Statistics and R Programming
This book provides a compact introduction to the Bootstrap Method. It is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form.
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The Fractional Calculus: Theory and Applications
Post under Mathematical Analysis and Fractals
Not only does it explain the theory (Fractional Calculus) underlying the properties of the generalized operator, but it also illustrates the wide variety of fields to which these ideas may be applied.
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Data Analysis with Python (Numpy, Matplotlib and Pandas)
Post under Python, Data Analysis, Data Visualization
Understand data analysis pipelines using machine learning algorithms and techniques with this practical guide, using Python. Equipped with the skills to prepare data for analysis and create meaningful data visualizations for forecasting values from data.
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Modern Data Visualization with R (Robert Kabacoff)
Post under Data Visualization and R Programming
This book describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It is written for those new to data analysis as well as the seasoned data scientist.
