Litgu.ru - Литературный Гуру

Название: Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics
Автор: Oscar Castillo, Patricia Melin
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 489
Язык: английский
Формат: pdf (true)
Размер: 18.9 MB

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.

Название: Low-Code AI: A Practical Project-Driven Introduction to Machine Learning (Early Release)
Автор: Gwendolyn Stripling, Michael Abel
Издательство: O’Reilly Media, Inc.
Год: 2023-06-15
Страниц: 109
Язык: английский
Формат: epub
Размер: 10.2 MB

Take a data-first and use-case driven approach to understanding machine learning and deep learning concepts with Low-Code AI. This hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data, feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications.

Название: Алгоритмы искусственного интеллекта на языке Prolog
Автор: Братко И.
Издательство: Вильямс
Год: 2004
Страниц: 641
Формат: pdf
Размер: 20 mb
Качество: хорошее

В книге известного специалиста по программированию приведены основные сведения о языке Prolog, описан процесс разработки программ на этом языке и показано применение языка Prolog во многих областях искусственного интеллекта, включая решение задач и эвристический поиск, программирование в ограничениях, представление знаний и экспертные системы, планирование, машинное обучение, качественные рассуждения, обработка текста на различных языках и ведение игр.

Название: Google Anthos in Action (MEAP v13)
Автор: Antonio Gulli
Издательство: Manning Publications
Год: 2023
Страниц: 836
Язык: английский
Формат: pdf, epub
Размер: 27.9 MB

Learn multicloud deployment on Anthos directly from the Google development team! Anthos delivers a consistent management platform for deploying and operating Linux and Windows applications anywhere—multi-cloud, edge, on-prem, bare metal, or VMware. Google Anthos in Action demystifies Anthos with practical examples of Anthos at work and invaluable insights from the Google team that built it. You’ll learn how to use this modern, Kubernetes-based cloud platform to balance costs, automate security, and run your software literally anywhere. The book is full of Google-tested patterns that will boost efficiency across the development lifecycle. It’s an absolutely essential guide for anyone working with Anthos, or delivering software in a cloud-centric world. The operations nightmare: modern applications run on-prem, in the cloud, at the edge, on bare metal, in containers, over VMs, in any combination. And you’re expected to handle the rollouts, dataOps, security, performance, scaling, backup, and whatever else comes your way.

Название: "Looks Good to Me": Actionable advice for constructive code reviews (MEAP v1)
Автор: Adrienne Braganza
Издательство: Manning Publications
Год: 2023
Страниц: 117
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Deliver code reviews that consistently build up your team and improve your applications. “Looks Good To Me” offers a unique approach to delivering meaningful code reviews that goes beyond superficial checklists and tense critical conversations. Instead, you’ll learn how to improve both your applications and your team dynamics. “Looks Good To Me” is a comprehensive guide to code reviews. It’s perfect for any stage of your process—whether you’re improving your practices, setting up a new review system, or even hearing about code reviews for the very first time. The book’s flexible practices are designed to flex to suit how your team does things. Each chapter offers multiple options and solutions, relatable scenarios, and personal tidbits from Adrienne’s career—plus starter templates that let you apply what you’ve learned straight away.

Название: Machine Learning Algorithms in Depth (MEAP v9)
Автор: Vadim Smolyakov
Издательство: Manning Publications
Год: 2023
Страниц: 550
Язык: английский
Формат: epub
Размер: 41.6 MB

In Machine Learning Algorithms in Depth you’ll explore practical implementations of dozens of ML algorithms including. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting Machine Learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you’ll learn the fundamentals of Bayesian inference and Deep Learning. Understanding ML algorithms from scratch will help you choose the right algorithm for the task, explain the results, troubleshoot advanced problems, extend an algorithm to a new application, and improve performance of existing algorithms. Some of the prerequisites for reading this book include basic level of programming in Python and intermediate level of understanding of linear algebra, applied probability and multivariate calculus.

Название: Machine Learning System Design: With end-to-end examples (MEAP v3)
Автор: Arseny Kravchenko, Valerii Babushkin
Издательство: Manning Publications
Год: 2023
Страниц: 186
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable Machine Learning systems. Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You’ll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system.

Название: The Decision Intelligence Handbook: Practical Steps for Evidence-Based Decisions in a Complex World (Final)
Автор: L.Y. Pratt, N.E. Malcolm
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 247
Язык: английский
Формат: epub
Размер: 10.1 MB

Decision Intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of Artificial Intelligence (AI). Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. Until now, there has been little practical guidance for organizations to formalize decision-making and integrate their decisions with data. Decision Intelligence (DI) is a methodology and set of processes and technologies for making better, more evidence-based decisions by helping decision makers understand how the actions they take today can affect their desired outcomes in the future. The key concept of DI is the idea that you can design decisions. Importantly, a decision, as we treat it here, is a thought process about an action that, once made, leads to specific outcomes without any further intervention.

Название: A Hands-On Introduction to Essential Python Libraries and Frameworks (With Code Samples)
Автор: Murat Durmus
Издательство: Independently published
Год: 2023
Страниц: 170
Язык: английский
Формат: pdf (true), azw3, epub, mobi
Размер: 10.2 MB

Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know. Python is a popular high-level programming language for various applications, including web development, scientific computing, data analysis, and machine learning. Its simplicity, readability, and versatility have made it a popular choice for programmers of all levels of expertise. Data Science is an interdisciplinary field that involves extracting, analyzing, and interpreting large, complex data sets. It combines elements of statistics, computer science, and domain expertise to extract insights and knowledge from data. Data scientists use various tools and techniques to collect, process, and analyze data, including statistical analysis, Machine Learning, data mining, and data visualization. Python Pandas is an open-source data manipulation and analysis library for the Python programming language. It provides a set of data structures for efficiently storing and manipulating large data sets, as well as a variety of tools for data analysis, cleaning, and preprocessing.

Название: Computational Intelligence: Theoretical Advances and Advanced Applications
Автор: Dinesh C.S. Bisht, Mangey Ram
Издательство: De Gruyter
Год: 2020
Страниц: 260
Язык: английский
Формат: epub
Размер: 15.0 MB

Computational Intelligence (CI) lies at the interface between engineering and Computer Science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all Artificial Intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing. The origins of CI are found in fuzzy logic, data analysis and intelligent systems.