Machine Learning with Neural Networks: An Introduction for Scientists and Engineers (Bernhard Mehlig)

0.0 (0)
Machine Learning with Neural Networks: An Introduction for Scientists and Engineers (Bernhard Mehlig)

An accessible and understandable introduction to the crucial subject of machine learning with neural networks is provided in this contemporary, self-contained book.

Strong linkages are formed with underlying techniques from statistical physics and current applications within science and engineering, in addition to outlining the mathematical fundamentals of the issue and its historical development.

Modern, trainable algorithms called Artificial Neural Networks (ANN) imitate key features of how the human brain functions. As a result, they gain a special capacity for self-training, the capacity to systematize unclassified knowledge, and—most significantly—the capacity to create forecasts based on the available historical data.

This book covers every aspect of neural networks, including their development, structure, issues they can handle, and applications. It explains how neural networks are used in supervised and unsupervised machine learning, including deep learning, recurrent networks, and other methods.

Ebook Details

About the Authors
Bernhard Mehlig is a professor of Physics at the University of Gothenburg, Sweden.
Published Date / Year
(December 23, 2021); eBook (, October 27, 2021)
Non-exclusive License to Distribute
260 pages
eBook Format
PDF (241 pages)

Similar Programming & Computer Books

Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (Christian Rathgeb, et al)
The first thorough compilation of research on the popular subject of digital face alteration, including DeepFakes, Face Morphing, and Reenactment, is offered in this open access book. ...
Prolog and Natural-Language Analysis (Fernando Pereira, et al)
This free programming book offers an accessible and useful introduction to logic programming and the logic-programming language Prolog, which may be used to create the fundamental elements of natural...
NLP - Skills for Learning (Peter Freeth)
This free programming book explores how NLP (Neuro Linguistic Programming) is used in training, education, and instruction. It serves as both an introduction to NLP and a book about...
Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit (Steven Bird, et al)
The Natural Language Toolkit (NLTK) book is updated for Python 3 and NLTK 3 in this online edition from 2015.  
Biomimetics: Learning from Nature (Amitava Mukherjee)
This free programming book introduces us to the fascinating field of biomimetics and explores the numerous fields in which it is used. The 25 chapters in this book provide...
Systems and Computational Biology - Bioinformatics and Computational Modeling (Ning-Sun Yang)
In this free programming book, we examine cutting-edge scientific and technological methods for promoting human health, producing food and animal feed, and safeguarding the environment. ...
Planning for Big Data: A CIO's Handbook to the Changing Data Landscape (Edd Dumbill)
This free programming book offers a useful, approachable "brief" on the state of Big Data analytics today and how you may profitably use this technology to boost your company's...
Big Data Now: Current Perspectives from O'Reilly Radar (O'Reilly Radar Team)
This free programming book summarizes the report's findings on trends, techniques, applications, and predictions.  
Mind, Body, World: Foundations of Cognitive Science (Michael R.W. Dawson)
This book answers several problems that individuals working in the field of cognitive science are now asking and is designed to expose graduate and senior undergraduate students to the...
Brain, Vision and AI (Cesare Rossi)
This book's objective is to present fresh perspectives, original findings, and real-world examples related to service robotics.  

Others Programming Books by Cambridge University Press

Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
Computational Complexity: A Conceptual Perspective (Oded Goldreich)
The study of the innate complexity of computer jobs is introduced conceptually in this free programming book. It is meant to be used as a textbook or for independent...
Algorithmic Number Theory: Lattices, Number Fields, Curves and Cryptography (Joe Buhler, et al)
One of the oldest and most fascinating branches of mathematics is number theory. Number theory has always involved computation, but this role has grown significantly over the past 20...
Combinatorial and Computational Geometry (Jacob E. Goodman, et al)
This volume, which consists of 32 papers on a variety of subjects of current research interest, is the result of the fusion of discrete and computational geometry. ...
Applied Combinatorics on Words (M. Lothaire)
This volume's goal is to provide a comprehensive analysis of some of the main areas in which combinatorics is applied. Core algorithms for text processing, natural language processing, audio...
Numerical Recipes in C: The Art of Scientific Computing, Second Edition (William H. Press, et al)
Numerical Recipes is a comprehensive handbook and reference on scientific computing and the result of a special partnership between four top researchers in academia and business. ...
Algebraic Combinatorics on Words (M. Lothaire)
Word-based combinatorics has independently developed within a variety of fields of mathematics, including number theory, group theory, and probability. It also commonly shows up in issues pertaining to theoretical...
Algebraic Topology (Allen Hatcher)
Algebraic topology is one of the three or four foundational first-year graduate mathematics courses at the majority of big universities.  
Model Theory, Algebra, and Geometry (Deirdre Haskell, et al)
Model theory is a subfield of mathematical logic that has found use in a variety of algebraic and geometric contexts.  
Classical Algebraic Geometry: A Modern View (Igor V. Dolgachev)
The robust general machinery created in the later half of the 20th century has been extremely helpful for algebraic geometry.  
Algorithms for Modular Elliptic Curves (J. E. Cremona)
Elliptic curves play a crucial and expanding role in computational number theory, where they are used extensively in processes like factorization, primality testing, and cryptography.
Random Graphs and Complex Networks (Remco van der Hofstad)
In this thorough introduction to network science, Random Graphs are used as representations of networks in the actual world. Such networks have unique empirical characteristics, and a plethora of...
Mathematical Illustrations: A Manual of Geometry and PostScript (Bill Casselman)
Anyone with a rudimentary understanding of coordinate geometry can benefit from this hands-on introduction to the methods required to create beautiful mathematical graphics.
Elementary Probability for Applications (Rick Durrett)
This engaging and accessible introduction to probability theory focuses on the findings that have the greatest practical value, such as Markov chains and combinatorial probability.
Advanced Data Analysis from an Elementary Point of View (Cosma Rohilla Shalizi)
For advanced undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression, this textbook on data analysis methods is designed.
Categorical Homotopy Theory (Emily Riehl)
This book develops categorical abstract homotopy theory with a strong emphasis on instances.
Information Theory, Inference and Learning Algorithms (David J. C. MacKay)
Inference and information theory, which are frequently taught separately, are combined in this engaging textbook.
Probability on Trees and Networks (Russell Lyons, et al.)
This book focuses on a few discrete probability topics that are now under active development on infinite graphs. Naturally, analyses of finite graphs are also conducted, although typically with...
Engineering Design Optimization (Joaquim R. Martins, et al)
Humans have a knack for optimization. People are always looking for ways to make their lives and the systems around them better.
An Invitation to Applied Category Theory: Seven Sketches in Compositionality (Brendan Fong, et al)
Category Theory is unequaled in its capacity to arrange and layer abstractions and uncover commonalities across structures of all types. It is now proven to be a potent instrument...

User reviews

There are no user reviews for this listing.
Rate this Book