Название: Soft Computing for Data Analytics, Classification Model, and Control
Автор: Deepak Gupta, Aditya Khamparia, Ashish Khanna
Издательство: Springer
Год: 2022
Страниц: 165
Язык: английский
Формат: pdf (true), epub
Размер: 23.7 MB

This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control.

Название: Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence
Автор: George K. Thiruvathukal, Yung-Hsiang Lu
Издательство: CRC Press
Год: 2022
Страниц: 436
Язык: английский
Формат: pdf (true)
Размер: 22.3 MB

Deep Neural Networks (DNNs) are greatly successful in performing many different computer vision tasks. However, the state-of-the-art DNNs are too energy, computation, and memory-intensive to be deployed on most computing devices and embedded systems. DNNs usually require server-grade CPUs and GPUs. To make computer vision more ubiquitous, recent research has focused on making DNNs more efficient. These techniques make DNNs smaller and faster through various refinements and thus are enabling computer vision on battery-powered mobile devices. Through this article, we survey the recent progress in low-power Deep Learning to discuss and analyze the advantages, limitations, and potential improvements to the different techniques. We particularly focus on the software-based techniques for low-power DNN inference.

Название: The Statistical Physics of Data Assimilation and Machine Learning
Автор: Henry D. I. Abarbanel
Издательство: Cambridge University Press
Год: 2022
Страниц: 207
Язык: английский
Формат: pdf (true)
Размер: 138.8 MB

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, Data Science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from Machine Learning (ML) and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and Machine Learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Название: Hands-on Supervised Learning with Python: Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms
Автор: Gnana Lakshmi T C, Madeleine Shang
Издательство: BPB Publications
Год: 2021
Формат: True ePUB, PDF
Страниц: 474
Размер: 13,7 Mb
Язык: English

You will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them.

Название: Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy and Matplotlib
Автор: Sebastian Klaas
Издательство: BPB Publications
Год: 2022
Формат: True ePUB
Страниц: 376
Размер: 10 Mb
Язык: English

Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns.

Название: Advance Core Python Programming: Begin your Journey to Master the World of Python
Автор: Meenu Kohli
Издательство: BPB Publications
Год: 2021
Формат: True ePUB, PDF
Страниц: 658
Размер: 19,6 Mb
Язык: English

Advance Core Python Programming is designed for Programmers who have a good understanding of Python basics and are ready to take the next steps. For entry-level Python programmers willing to dive deeper into programming, this book provides a path that will help them to add innovative features to their applications. This book starts by introducing you to the concept of Functions and Recursion and then moves on to higher levels of introducing you to OOP concepts, Files, integrating Python with database, threading, errors, exceptions, testing, debugging, data visualization, data analysis, GUI, data structures and algorithms. All these topics are the need of the hour and this book simplifies all these critical and essential concepts of Python for you. Knowledge of these topics will ease the functioning of your envisioned application.

Название: Differential Evolution: From Theory to Practice
Автор: B. Vinoth Kumar, Diego Oliva, P. N. Suganthan
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 389
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book addresses and disseminates state-of-the-art research and development of differential evolution (DE) and its recent advances, such as the development of adaptive, self-adaptive and hybrid techniques. Differential evolution is a population-based meta-heuristic technique for global optimization capable of handling non-differentiable, non-linear and multi-modal objective functions. Many advances have been made recently in differential evolution, from theory to applications. This book comprises contributions which include theoretical developments in DE, performance comparisons of DE, hybrid DE approaches, parallel and distributed DE for multi-objective optimization, software implementations, and real-world applications. The book is useful for researchers, practitioners, and students in disciplines such as optimization, heuristics, operations research and natural computing.

Название: Practical Automation with PowerShell (MEAP v05)
Автор: Matthew Dowst
Издательство: Manning Publications
Год: 2022
Страниц: 229
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Take PowerShell beyond simple scripts and build time-saving automations for your team, your users, and the world. Practical Automation in PowerShell reveals how you can use PowerShell to build automation solutions for a huge number of common admin and DevOps tasks. It takes you beyond scripting basics and shows you how to handle the unforeseen complexities that can keep automations from becoming reusable and resilient. You’ll discover tools and platforms that let you share your automations with your team and even roll them out to non-technical users through easy-to-understand Sharepoint frontends.

Название: Introduction to Computer Organization: An Under the Hood Look at Hardware and x86-64 Assembly
Автор: Robert Plantz
Издательство: No Starch Press
Год: 2022
Страниц: 515
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 10.1 MB

Introduction to Computer Organization gives programmers a practical understanding of what happens in a computer when you execute your code. You may never have to write x86-64 assembly language or design hardware yourself, but knowing how the hardware and software works will give you greater control and confidence over your coding decisions. We start with high level fundamental concepts like memory organization, binary logic, and data types and then explore how they are implemented at the assembly language level.

Название: Using Python 3.9 and BeautifulSoup to Web Scrape Market, Economic, Financial and Historical Company Earnings Data
Автор: John Lee
Издательство: Independently published
Год: January 01, 2022
Страниц: 357
Язык: английский
Формат: epub
Размер: 34.7 MB

We will use Python and the Python Library BeautifulSoup to retrieve many different types of market, financial and economic data. The types of market, financial and economic data we will retrieve are stock, market index, currency rates, bonds, futures, mutual funds, electronically traded funds (ETF), commodities, balance sheet, income statement, statement of cash flow, GDP, consumer price index, unemployment rate, household income and money supply. Chapter 28 discusses how to retrieve historical company earnings. When web scraping, we will use the BeautifulSoup Python library. People who read this book will need a working knowledge of Python. This book will not explain Python; instead, readers will study the code to learn different Python techniques and where to get the financial, market and economic data. Like experience programmers, the reader will google any Python programming concept that needs more clarifications.