Название: Java For Beginners: Get From Zero to Object-Oriented Programming
Автор: Lucas Barzan
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 165
Язык: английский
Формат: pdf, azw3
Размер: 10.1 MB

Do you know little or nothing about programming and want to learn Java? Then you're in the right place! With step-by-step explanations, this book includes lots of practice questions and exercises to help reinforce your understanding of Java. Before you know it, you'll be using variables, types, loops, objects, and classes. Start programming in Java and creating your own projects right away!

Название: The Mystery Of Algorithms: Learn How Algorithms Work
Автор: Moubachir Madani Fadoul
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, rtf, azw3
Размер: 10.1 MB

How do machine learning algorithms solve problems?
How can your little GPS find, out of the gazillions of possible routes, the fastest way to your destination, and do so in mere seconds?
Thanks to algorithms, business owners, managers, and marketers have the opportunity to analyze and observe their marketing activity, website impressions, email messages, clicks that lead from one page to another, etc.

Название: Domain-Driven Design: Tips and Tricks to Learn the Best Theories and Principles of Domain-Driven Design
Автор: Jim Lewis
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 125
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

Have you always wondered if there is a better way to build a software or application? Did you want to see if you can avoid using the waterfall model and focus more on the business value? Do you want to see how you can use the domain knowledge of the business when you write the code? If you answered yes to these questions, you have come to the right place. Domain-driven design will help you tackle various complexities in software development. This book does not talk about any specific languages or technologies. It provides information on what domain-driven design is and its systematic approach. It will present you with an extensive set of experience-based techniques, best practices, and some fundamental principles to help you develop various software projects that use complex domains.

Название: Linear Algebra and Optimization with Applications to Machine Learning: Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning
Автор: Jean Gallier, Jocelyn Quaintance
Издательство: World Scientific Pub Co Inc
Год: 2020
Страниц: 753
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.

Название: Economic and Policy Implications of Artificial Intelligence
Автор: Domenico Marino, Melchiorre A. Monaca
Издательство: Springer
Год: 2020
Страниц: 170
Язык: английский
Формат: pdf (true), epub
Размер: 10.7 MB

This book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization. The topics discussed include economics, policies, finance, law, resource allocation strategies and information technology. In the recent years, fuzzy analysis and fuzzy differential equations were proposed to handle uncertainty due to incomplete information that appears in many mathematical or computer models of some deterministic real world phenomena. This theory has been further developed and a wide number of applications of this theory have been considered in the real-world systems.

Название: Excel VBA: A Comprehensive Beginner's Guide to Learn Excel VBA Step by Step
Автор: Dustin Adams
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 143
Язык: английский
Формат: pdf, azw3, epub
Размер: 29.0 MB

How to learn Excel VBA, from coding fundamentals to navigating the Excel programming environment. In every industry, for every job title, programming skills are highly valued. Excel VBA programming allows you to utilize Excel in ways you never thought possible and gain an introduction into the world of programming that will carry you higher up the career ladder. With VBA, you can clean and format data, apply data analysis, automate and simplify data entry, and so much more. Even if you’ve never touched a programming language before, and you’ve never dabbled around in code, you can learn Excel VBA.

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?