Litgu.ru - Литературный Гуру

Название: Разработка чат-ботов и разговорных интерфейсов (Практическое руководство по разработке чат-интерфейсов)
Автор: Джанарсанам С.
Издательство: ДМК Пресс
Год: 2019
Cтраниц: 340
Формат: pdf (ocr)
Размер: 16 мб
Язык: русский

В книге рассказывается о работе диалоговых интерфейсов как способе взаимодействия машины с людьми на естественном языке. Вы научитесь разрабатывать чат-боты для выполнения различных прикладных задач с помощью платформ Microsoft Bot Framework, DialogFlow и Twilio, а также изучите механизмы развертывания чат-ботов на платформах мессенджеров типа Facebook.

Название: Статистические методы интеллектуального анализа данных
Автор: Леонид Мыльников
Издательство: БХВ
Год: 2021
Формат: DJVU
Страниц: 240
Размер: 10 Mb
Язык: Русский

Рассмотрены основные методы статистической обработки данных и машинного обучения и их реализация на языке R. Изложены принципы разработки информационных систем и моделей, основанных на данных. Приведены примеры использования методов машинного обучения при решении прикладных задач. Рассмотрены подготовка данных, работа с временными рядами, методы классификации и кластеризации, способы обучения (с учителем, без учителя, с подкреплением), классические методы интеллектуального анализа данных, способы проверки адекватности получаемых моделей, их сравнения и выбора. В конце разделов приведены вопросы для самоконтроля и задания.

Название: Python и машинное обучение: машинное и глубокое обучение с использованием Python, scikit-learn и TensorFlow 2
Автор: Себастьян Рашка, Вахид Мирджалили
Издательство: Диалектика
Год: 2020
Формат: PDF
Страниц: 848
Размер: 89 Mb
Язык: Русский

Книга является всеобъемлющим руководством по машинному и глубокому обучению с использованием языка Python. Она служит как пошаговым учебным пособием, так и справочником, к которому вы постоянно будете возвращаться в ходе построения систем машинного обучения.

Название: OCR GCSE Computer Science, 2nd Edition
Автор: George Rouse, Lorne Pearcey, Gavin Craddock
Издательство: Hodder Education
Год: 2020
Формат: PDF
Страниц: 220
Размер: 22 Mb
Язык: English

Written by leading Computer Science teachers, this brand-new textbook will guide students through the updated OCR GCSE Computer Science specification topic by topic, and provide them with standalone recap and review sections, worked examples and clear explanations of complex topics.

Название: Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language
Автор: Philip C. Jackson
Издательство: Dover Publications
Год: 2019
Страниц: 386
Язык: английский
Формат: pdf (true), epub
Размер: 20.2 MB

How can human-level Artificial Intelligence (AI) be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation.

Название: Deep Learning Design Patterns (MEAP)
Автор: Andrew Ferlitsch
Издательство: Manning Publications
Год: 2020
Страниц: 244
Язык: английский
Формат: pdf (true)
Размер: 10.58 MB

Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible. For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Design Patterns is here to help. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Written by Google deep learning expert Andrew Ferlitsch, it's filled with the latest deep learning insights and best practices from his work with Google Cloud AI. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples.

Название: Statistics And Data Analysis Through R
Автор: Cesar Perez Lopez
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 204
Язык: английский
Формат: pdf, mobi, epub
Размер: 14.5 MB

This book focuses on the implementation of statistics and data analysis through R. It deals first with the Exploratory Data Analysis both numerically and graphically, which is always a technique prior to any other statistical analysis. Descriptive statistics and the calculation of probabilities are then developed. Subsequently, the multiple regression model is approached, focusing on the problems of its estimation and diagnosis. It also delves into the generalized linear models and the analysis of variance and covariance models. Dimension reduction techniques are also addressed with special emphasis on principal component analysis and factor analysis. Finally, the segmentation techniques related to hierarchical and non-hierarchical cluster analysis are presented.

Название: Coding In Java
Автор: Shalini Shekhar
Издательство: BookMedia
Год: 2020
Формат: EPUB, PDF
Страниц: 297
Размер: 12,6 Mb
Язык: English

My book, Coding in Java teaches Java Coding. Instead of focusing on theory aspect, this book emphasizes more on practicing codes. The book discusses program codes in detail. Explaining the relevance of each part as to why it is needed and how they affect the program and thus improves your understanding of the code. The book covers the most complicated topics like Packages, Interfaces, Multithreading, File handling, Exception handling, AWT, Event handling and Applet Programming.

Название: Robust Python: Write Clean and Maintainable Code (Early Release)
Автор: Patrick Viafore
Издательство: O’Reilly Media
Год: 2020
Формат: EPUB
Страниц: 150
Размер: 10 Mb
Язык: English

Do you use Python? Do you feel like your projects are getting bigger and bigger? Are you feeling the pain as your codebase grows and gets tougher to debug and maintain? Python is an easy language to learn and develop in, but that also means it's easy for systems to grow beyond comprehension quickly.
Thankfully, Python has features that help developers overcome maintainability woes. In this book, we're going to look at how to effectively use Python's typing system to the max. We'll look at user defined types, such as classes and enums, as well as Python's type hinting system. We'll explore how to make your Python extensible, and how to have a comprehensive testing strategy as a safety net. At the end, you'll be able to write clearer and more maintainable code using Python types.

Название: Structural Equation Modeling: Applications Using Mplus, Second Edition
Автор: Jichuan Wang, Xiaoqian Wang
Издательство: John Wiley & Sons
Год: 2020
Формат: PDF
Страниц: 537
Размер: 10.59 МБ
Язык: English

Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA model, item response theory (IRT) model, graded response model (GRM), multiple imputation (MI) of missing values, plausible values of latent variables, moderated mediation model, Bayesian SEM, latent growth modeling (LGM) with individually varying times of observations, dynamic structural equation modeling (DSEM), residual dynamic structural equation modeling (RDSEM), testing measurement invariance of instrument with categorical variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal outcome, manual implementation of the BCH method and the three-step method for mixture modeling, Monte Carlo simulation power analysis for various SEM models, and estimate sample size for latent class analysis (LCA) model.