Название: Basic Python for Data Management, Finance, and Marketing
Автор: Art Yudin
Издательство: Apress
Год: 2021
Формат: True PDF, ePUB
Страниц: 324
Размер: 26,4 Mb
Язык: English

Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user.

Название: Introduction to AI Robotics, 2nd edition
Автор: Robin R. Murphy
Издательство: The MIT Press, ‎ Bradford Books
Год: 2019
Страниц: 891
Язык: английский
Формат: True EPUB
Размер: 160.2 MB

A comprehensive survey of Artificial Intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of Artificial Intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an Artificially Intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities.

Название: Introduction to R for Social Scientists
Автор: Ryan Kennedy, Philip D. Waggoner
Издательство: CRC Press
Год: 2021
Страниц: 209
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems.

Название: Distributed Systems with Node.js: Building Enterprise-Ready Backend Services
Автор: Thomas Hunter II
Издательство: O'Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 390
Размер: 11,5 Mb
Язык: English

Many companies, from startups to Fortune 500 companies alike, use Node.js to build performant backend services. And engineers love Node.js for its approachable API and familiar syntax. Backed by the world's largest package repository, Node's enterprise foothold is only expected to grow.

Название: Learning Serverless: Design, Develop, and Deploy with Confidence
Автор: Jason Katzer
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 233
Размер: 10 Mb
Язык: English

Whether your company is considering serverless computing or has already made the decision to adopt this model, this practical book is for you. Author Jason Katzer shows early- and mid-career developers what's required to build and ship maintainable and scalable services using this model.

Название: Threat Modeling: A Practical Guide for Development Teams
Автор: Izar Tarandach, Matthew J. Coles
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 245
Размер: 17,2 Mb
Язык: English

Threat modeling is one of the most essential--and most misunderstood--parts of the development lifecycle. Whether you're a security practitioner or a member of a development team, this book will help you gain a better understanding of how you can apply core threat modeling concepts to your practice to protect your systems against threats.

Название: Introduction to Natural Language Processing
Автор: Jacob Eisenstein
Издательство: The MIT Press
Год: 2019
Страниц: 536
Язык: английский
Формат: epub
Размер: 10.1 MB

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on Natural Language Processing (NLP) - methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised Machine Learning (ML). The first section establishes a foundation in Machine Learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation.

Название: Основы алгоритмизации и программирования
Автор(ы): Чурина Т.Г., Нестеренко Т.В.
Издательство: Профобразование, Ай Пи Ар Медиа
Год: 2020
Страниц: 214
Формат: PDF
Размер: 17 Мб
Язык: русский

В учебном пособии представлены абстрактные типы данных, описание алгоритмов обхода графов и деревьев в глубину и в ширину, нахождения путей в графе, различных видов циклов, определение максимального потока в графе и поиск паросочетаний. Приведены алгоритмы построения каркасов графа, алгоритмы с возвратом, рассмотрены задачи, решения которых опираются на использование этих алгоритмов.

Название: Soft Computing with NeuroFuzzy systems
Автор: Jovan Pehcevski
Издательство: Arcler Press
Год: 2021
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 17.9 MB

This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro-fuzzy systems, neuro-fuzzy inference systems, and neuro-fuzzy control. Section 1 focuses on intelligent neuro-fuzzy models, describing fuzzy-neuro model for intelligent credit risk management; method to improve airborne pollution forecasting by using ant colony optimization; TSK-type recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive neuro-fuzzy systems, describing adaptive neuro-fuzzy logic system for heavy metal sorption in aquatic environments; automatic heart disease diagnosis system based on artificial neural network (ANN); reliability estimation of services oriented systems using adaptive neuro fuzzy inference system; and prediction of soil fractions (sand, silt and clay) in surface layer based on natural radionuclides concentration.

Название: Artificial Intelligence Hardware Design: Challenges and Solutions
Автор: Albert Chun Chen Liu and Oscar Ming Kin Law
Издательство: Wiley
Год: 2021
Формат: PDF
Страниц: 233
Размер: 17 Mb
Язык: English

Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field
In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization.