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Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Machine Learning with Core ML 2 and Swift: A beginner-friendly guide to integrating machine learning into your apps
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Название: Machine Learning with Core ML 2 and Swift: A beginner-friendly guide to integrating machine learning into your apps
Автор: Karoly Nyisztor and Monika Nyisztor
Издательство: Amazon Digital Services LLC
ASIN: B07F2NYDTH
Год: 2018
Страниц: 187
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.19 MB

Smart homes, self-driving cars, Siri, Alexa - some typical examples of how machine learning and artificial intelligence have become part of our daily life. Wouldn't it be cool to understand the concepts behind these complex topics? This book teaches you how to integrate machine learning into your apps. We're going to demystify what machine learning is by investigating how it works and delving into the most important concepts. This book is going to familiarize you with common machine learning tasks. We'll focus on practical applications, using hands-on Swift code examples.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Going Pro with Reason 6.5
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Название: Going Pro with Reason 6.5
Автор: G. W. Childs
Издательство: Cengage Learning
Год: 2013
Формат: PDF
Размер: 12 Мб
Язык: английский / English

GOING PRO WITH REASON 6.5 is an expert level book that addresses the needs of the professional Reason user. This book picks up where the manual leaves off, offering concise, workflow-oriented tutorials on setting up complex productions and workflows for both song creation and producing tracks. Whether you are preparing to compose or produce, and whether you will be in studio or live environments, this valuable resource holds the keys to taking your knowledge to the next level.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
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Название: Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
Автор: Jon Krohn, Beyleveld Grant
Издательство: Addison-Wesley Professional
ISBN: 0135116694
Год: 2019
Страниц: 192
Язык: английский
Формат: pdf
Размер: 11.9 MB

Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Google to Tesla, Facebook to Apple. Thousands of technical professionals and students want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning Illustrated , three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-color illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn and accessible to a far wider audience.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
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Название: Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
Автор: Bruce Ratner
Издательство: Chapman and Hall/CRC
ISBN: 1498797601
Год: 2017
Страниц: 691
Язык: английский
Формат: True PDF
Размер: 10.1 MB

The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. is a compilation of new and creative data mining techniques, which address the scaling-up of the framework of classical and modern statistical methodology, for predictive modeling and analysis of big data. SM-DM provides proper solutions to common problems facing the newly minted data scientist in the data mining discipline. Its presentation focuses on the needs of the data scientists (commonly known as statisticians, data miners and data analysts), delivering practical yet powerful, simple yet insightful quantitative techniques, most of which use the "old" statistical methodologies improved upon by the new machine learning influence.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Applying Data Science: Business Case Studies Using SAS
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Название: Applying Data Science: Business Case Studies Using SAS
Автор: Gerhard Svolba
Издательство: SAS Institute
ISBN: 160764889X
Год: 2017
Страниц: 489
Язык: английский
Формат: True PDF
Размер: 18.0 MB

See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code. The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more!


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Transactions on Computational Collective Intelligence XXX
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Название: Transactions on Computational Collective Intelligence XXX
Автор: Ngoc Thanh Nguyen, Richard Kowalczyk
Издательство: Spinger
Серия: Lecture Notes in Computer Science (Book 11120)
ISBN: 3319998099
Год: 2018
Страниц: 274
Язык: английский
Формат: pdf (true), epub
Размер: 27.0 MB

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This thirtieth issue is a regular issue with 12 selected papers.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
MS Excel: Let's Advance to The Next Level
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Название: MS Excel: Let's Advance to The Next Level
Автор: Anurag Singal
Издательство: Business Expert Press
ISBN: 1631579436
Год: 2017
Страниц: 106
Язык: английский
Формат: pdf (true)
Размер: 21.4 MB

MS Excel: Let's advance to the Next Level is an attempt to take you to the next orbit of competence in this fascinating world. It is a ready reckoner for any practitioner who seeks to further his/her understanding of the tools and utilities. The author offers to make life easier for a data analyst, thus, it will be of relevance to students, academicians, the ones pursuing corporate careers as well as entrepreneurs preparing business plans for their startups. The book explains a wide array of complex functions, ranging from V-LOOKUP to MATCH/INDEX and pivot tables in very practical, simple, and implementable manner. The segments on conditional formatting and printing tricks will help the reader present the output to stakeholders in a more efficient manner. Do try the features Excel has on offer for controlling data input as well as creating checks and balances to ensure cell/sheet/file-level security.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
HTML5 Quick Markup Reference
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Название: HTML5 Quick Markup Reference
Автор: Wallace Jackson
Издательство: Apress
Год: 2016
Формат: PDF
Размер: 18 Мб
Язык: английский / English

This book is a condensed reference for HTML5 markup. It presents the essential HTML5 elements and attributes in a well-organized format that can be used as a handy reference. HTML5 Quick Markup Reference is an HTML5 reference title covering tags and parameters central to HTML5 markup using the NetBeans 8.1 IDE. The book covers the tags used in HTML5, logically organized by topical chapters. It gets more advanced as chapters progress, covering the new media tags and file formats that are best for use with HTML5, as well as key factors regarding the data footprint optimization work process, in-lining .CSS and .JS files, and why data footprint optimization is important.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
The Road to learn React: Your journey to master plain yet pragmatic React.js
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Название: The Road to learn React: Your journey to master plain yet pragmatic React.js
Автор: Robin Wieruch
Издательство: CreateSpace Independent Publishing Platform
ISBN: 1986338827
Год: 2018
Страниц: 206
Язык: английский
Формат: pdf (true), djvu
Размер: 10.4 MB

The Road to learn React teaches you the fundamentals of React. You will build a real world application along the way in plain React without complicated tooling. Everything from project setup to deployment on a server will be explained. The book comes with additional referenced reading material and exercises with each chapter. After reading the book, you will be able to build your own applications in React. The material is kept up to date by me and the community. In the Road to learn React, I want to offer a foundation before you start to dive into the broader React ecosystem.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Requirements Engineering for Software and Systems, Third Edition
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Название: Requirements Engineering for Software and Systems, Third Edition
Автор: Phillip A. Laplante
Издательство: Auerbach Publications
ISBN: 1138196118
Год: 2017
Страниц: 399
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Solid requirements engineering has increasingly been recognized as the key to improved, on-time, and on-budget delivery of software and systems projects. This textbook provides a comprehensive treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing, and writing requirements for systems of all kinds, with an intentional focus on software-intensive systems. It brings into play a variety of formal methods, social models, and modern requirements for writing techniques to be useful to the practicing engineer.