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Название: Deep Neural Evolution: Deep Learning with Evolutionary Computation
Автор: Hitoshi Iba, Nasimul Noman
Издательство: Springer
Год: 2020
Страниц: 437
Язык: английский
Формат: pdf (true), epub
Размер: 63.6 MB

This book delivers the state of the art in Deep Learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention only a few. All DL models, using different architectures and algorithms, utilize multiple processing layers for extracting a hierarchy of abstractions of data. Their remarkable successes notwithstanding, these powerful models are facing many challenges, and this book presents the collaborative efforts by researchers in EC to solve some of the problems in DL.

Название: Semi-empirical Neural Network Modeling and Digital Twins Development
Автор: Dmitriy Tarkhov, Alexander Vasilyev
Издательство: Academic Press
Год: 2020
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. As the main class of mathematical models, the class of artificial neural networks (ANN) is used, that have proven themselves to behave well in complex data processing tasks. At the moment, the neural network technique is one of the most dynamically developing spheres of Artificial Intelligence (AI).

Название: Hybrid Soft Computing Approaches: Research and Applications
Автор: Siddhartha Bhattacharyya, Paramartha Dutta
Издательство: Springer
Год: 2016
Страниц: 459
Язык: английский
Формат: pdf (true)
Размер: 10.8 MB

The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by Various Hybrid Optimization Techniques, (b) An Application of Color Magnetic Resonance Brain Image Segmentation by Para Optimus LG Activation Function, (c) Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization of 2D-3D Images for Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.

Название: Microservices: Up and Running: A Step-by-Step Guide (Early Release)
Автор: Ronnie Mitra and Irakli Nadareishvili
Издательство: O’Reilly Media
Год: 2020-05-20
Формат: epub/pdf(conv.)
Размер: 10.8 Mb
Язык: English

Microservices architectures offer great benefits: faster change speeds, better scalability and cleaner, evolvable architectures. But, implementing your first Microservices architecture to get those rewards is difficult. How do you quickly educate your team on all the technical details of execution to maximize your chances of success? How do you survive the first year of bringing your microservices implementation to life? How do you improve your execution?

Название: Julia for Machine Learning
Автор: Zacharias Voulgaris
Издательство: Technics Publications
Год: 2020
Формат: epub/mobi/pdf(conv.)
Страниц: 296
Размер: 10.2 Mb
Язык: English

Unleash the power of Julia for your machine learning tasks.
We reveal why Julia is chosen for more and more data science and machine learning projects, including Julia's ability to run algorithms at lightning speed. Next, we show you how to set up Julia and various IDEs such as Jupyter. Afterward, we explore key Julia libraries, which are useful for data science work, including packages related to visuals, data structures, and mathematical processes.

Название: LEARN Python: UP to EXPERT CODING. Are you EXPERT enough in Python programming?
Автор: Dominique SAGE
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF, EPUB, AZW3
Страниц: 118
Размер: 25,5 Mb
Язык: English

The secret to earning a higher salary without changing your major or going for a second university degree...
Do you want to learn how to code, yet you feel intimidated by the mere thought of opening up your browser to a bunch of symbols and characters that come across as nothing but nonsense?
Are you currently working a low-paying job, seeking a way for you to be able to earn a higher wage, whether that be through getting a new job or improving your current skills for a promotion?

Название: Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2nd Edition
Автор: Peter Bruce, Andrew Bruce, and Peter Gedeck
Издательство: O’Reilly Media
Год: 2020-04-10
Формат: true pdf/epub
Страниц: 361
Размер: 22.5 Mb
Язык: English

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.
Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.

Название: Computer Graphics for Java Programmers Third Edition
Автор: Leen Ammeraal, Kang Zhang
Издательство: Springer
Год: 2017
Формат: True PDF
Страниц: 388
Размер: 10.4 Mb
Язык: English

This third edition covers fundamental concepts in creating and manipulating 2D and 3D graphical objects, including topics from classic graphics algorithms to color and shading models. It maintains the style of the two previous editions, teaching each graphics topic in a sequence of concepts, mathematics, algorithms, optimization techniques, and Java coding.

Название: Fundamentals of Digital Forensics: Theory, Methods, and Real-Life Applications, 2nd Edition
Автор: Joakim Kavrestad
Издательство: Springer
Год: 2020
Страниц: 265
Язык: английский
Формат: pdf (true), epub
Размер: 37.2 MB

This practical and accessible textbook/reference describes the theory and methodology of digital forensic examinations, presenting examples developed in collaboration with police authorities to ensure relevance to real-world practice. The coverage includes discussions on forensic artifacts and constraints, as well as forensic tools used for law enforcement and in the corporate sector. Emphasis is placed on reinforcing sound forensic thinking, and gaining experience in common tasks through hands-on exercises. This enhanced second edition has been expanded with new material on incident response tasks and computer memory analysis.

Название: Agile Remote Software Development: A Practical Guide to the Galaxy of Augmented Staffing, Remote Teams and Other Scary Software Development Things
Автор: Nick Nagatkin
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

Arm Yourself with an Army of Top-Notch Freelancers, Outsource the Best Talent for Your Company, and Ensure the Success of Your Business from the Start! Are you a Start-Up founder, and looking for methods that will ensure you hire the best team for your business? You want to form a remote team of freelancers, but don’t know where to start or how to manage them? Do you want to start your software development project right, by avoiding common mistakes and having relevant information that will save you money? If you answered Yes to any of these questions, keep reading to discover the secrets behind every successful startup!