Learn IT - Books tags scientists

Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Springer, 2020

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical...

Essential MATLAB for Scientists and Engineers

Butterworth-Heinemann, 2002

Based on a teach-yourself approach, the fundamentals of MATLAB are illustrated throughout with many examples from a number of different scientific and engineering areas, such as simulation, population modelling, and numerical methods, as well as from business and everyday life. Some of the examples draw on first-year university level maths, but...

Battery Systems Engineering

John Wiley & Sons, 2013

A complete all-in-one reference on the important interdisciplinary topic of Battery Systems Engineering

Focusing on the interdisciplinary area of battery systems engineering, this book provides the background, models, solution techniques, and systems theory that are necessary for the development of advanced battery management...

Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

O'Reilly, 2019

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization...

Planetary Cartography and GIS (Lecture Notes in Geoinformation and Cartography)

Springer, 2019

This book approaches geological, geomorphological and topographical mapping from the point in the workflow at which science-ready datasets are available. Though there have been many individual projects on dynamic maps and online GISs, in which coding and data processing are given precedence over cartographic principles, cartography...

eThekwini’s Green and Ecological Infrastructure Policy Landscape: Towards a Deeper Understanding

Springer, 2020

This book offers the reader a deeper understanding of the eThekwini Metropolitan Municipality’s green and ecological infrastructure policy landscape. The author utilises the PULSE3 analytical framework to conduct an in-depth examination and to show how experts frame and implement the municipality’s green and ecological infrastructure...

Human-Friendly Robotics 2020: 13th International Workshop (Springer Proceedings in Advanced Robotics, 18)

Springer, 2021

This book presents recent methodological, technological, and experimental developments concerning human-friendly robots and their introduction into everyday life.

The book contains a selection of 10 papers presented at the 13th edition of the International Workshop on Human-Friendly Robotics (HFR).

...

The Complete Idiot's Guide to the Science of Everything

Alpha, 2008

Did you ever wonder how somebody ever figured out all the details of making a cellphone system work? What about those giant MRI machines that can take a picture of your insides without a single incision? Then there is the universe. We think we know at least something about how it started billions of years ago and where it’s going billions of...

Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications)

Idea Group Publishing, 2006

Discussion on the nature of intelligence long pre-dated the development of the
electronic computer, but along with that development came a renewed burst of investigation
into what an artificial intelligence would be. There is still no consensus on how
to define artificial intelligence: Early definitions tended to discuss the type of...

Practical Statistics for Data Scientists: 50 Essential Concepts

O'Reilly, 2017

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Packt Publishing, 2018

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision

Combine the power of Python, Keras, and TensorFlow to...

Introduction to Genetic Algorithms for Scientists and Engineers

World Scientific Publishing, 1999

This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in Basic, Fortran, Pascal And C) included on a floppy disk to...

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