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Название: What AI Can Do: Strengths and Limitations of Artificial Intelligence
Автор: Manuel Cebral-Loureda, Elvira G. Rincon-Flores, Gildardo Sanchez-Ante
Издательство: CRC Press
Год: 2024
Страниц: 459
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

Most recent Artificial Intelligence (AI) advances have revolved around Machine Learning (ML) methods. Such methods can learn from data and create models that represent a problem (e.g., regression, classification). Traditional ML techniques are useful when working with structured data (i.e., tabular or grid data). During the process of ML, one essential step is to extract features from data, which are then used to learn and improve the model. This is generally done by manually designing the data to look for relationships across independent variables. However, when dealing with unstructured data (e.g., images, text, and sound), ML techniques struggle with extracting effective features from the data. This is due to the complexity of the data, which does not permit to extract sufficiently meaningful and powerful representations to feed and train the underlying ML models. Recent strides in AI have happened thanks to a series of factors that have enabled Deep Learning (DL) models come to the fore of ML research. In particular, DL models have shown an astounding capability for extracting highly efficient features and to learn very complex functions of the features for a great variety of talks, in an endto-end and automatic manner.

Название: Mastering Bitcoin: Programming the Open Blockchain, 3rd Edition (Fourth Early Release)
Автор: Andreas M. Antonopoulos, David A. Harding
Издательство: O’Reilly Media, Inc.
Год: 2023-06-22
Страниц: 167
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Join the technological revolution that's taking the financial world by storm. Mastering Bitcoin is your guide through the seemingly complex world of Bitcoin, providing the knowledge you need to participate in the internet of money. Whether you're building the next killer app, investing in a startup, or simply curious about the technology, this revised and expanded third edition provides essential detail to get you started. Bitcoin, the first successful decentralized digital currency, has already spawned a multibillion-dollar global economy open to anyone with the knowledge and passion to participate. Mastering Bitcoin provides the knowledge. You supply the passion. Bitcoin is a collection of concepts and technologies that form the basis of a digital money ecosystem. Units of currency called bitcoin are used to store and transmit value among participants in the Bitcoin network.

Название: Evolution and Applications of Quantum Computing
Автор: Sachi Nandan Mohanty, Rajanikanth Aluvalu, Sarita Mohanty
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 352
Язык: английский
Формат: pdf (true), epub
Размер: 45.6 MB

The book is about the Quantum Model replacing traditional computing’s classical model and gives a state-of-the-art technical overview of the current efforts to develop quantum computing and applications for Industry 4.0. A holistic approach to the revolutionary world of quantum computing is presented in this book, which reveals valuable insights into this rapidly emerging technology. The book reflects the dependence of quantum computing on the physical phenomenon of superposition, entanglement, teleportation, and interference to simplify difficult mathematical problems which would have otherwise taken years to derive a definite solution for. An amalgamation of the information provided in the multiple chapters will elucidate the revolutionary and riveting research being carried out in the brand-new domain encompassing quantum computation, quantum information and quantum mechanics. Each chapter gives a concise introduction to the topic. The book comprises 18 chapters and describes the pioneering work on the interaction between Artificial Intelligence, Machine Learning, and quantum computing along with their applications and potential role in the world of Big Data. Subjects Audience The book will be very useful for researchers in Computer Science, Artificial Intelligence and quantum physics as well as students who want to understand the history of quantum computing along with its applications and have a technical state-of-the-art overview.

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.