Название: Mathematics for Computer Graphics, 4th Edition
Автор: John Vince
Издательство: Springer
Год: 2013
Формат: PDF
Размер: 10 Мб
Язык: английский / English

The updated and expanded 4th edition of this book explores mathematical techniques and problem-solving strategies for computer games, animation, virtual reality, CAD and other areas of computer graphics. Includes 120 worked examples and some 270 illustrations.

Название: Deep Learning With Python: A Fundamentals Guide To Understanding Machine Learning and Artificial Intelligence With Scikit-Learn, TensorFlow, and Keras
Автор: Sebastian Dark
Издательство: Amazon Digital Services LLC
ASIN: B07K2Q6DXH
Год: 2018
Страниц: 108
Язык: английский
Формат: epub, rtf, pdf (conv)
Размер: 11.97 MB

Deep learning is a process that widens the range of most artificial intelligence problems like speech recognition, image classification, question answering, optical character recognition, and transforming text to speech. It is true that deep learning is a complex subject to learn and understand, but it is not difficult for most machine learning algorithms. If you want to learn how to build a deep learning model in Python, you have come to the right place. Over the course of this book, you will gather information on what deep learning is and how it ties in to machine learning and artificial intelligence. You will also learn about the different neural network architectures that designers use to program a deep learning model.

Название: C# Fundamentals: Quick Reference Essentials and Examples
Автор: Adam Seebeck
Издательство: unQbd, Amazon Digital Services LLC
ASIN: B07JB1N1HH
Год: 2018
Страниц: 126
Язык: английский
Формат: pdf (true), djvu
Размер: 16.2 MB

C# Fundamentals: Quick Reference Essentials and Examples explains fundamental software development concepts and provides easy to follow examples. The structure of the book is in a logical sequence and is readable from beginning to end. Examples in this book use the following three techniques:
- Quick Reference Essentials give a brief explanation and include examples of code.
- Full Examples often follow Quick Reference Essentials and expand on the concept by displaying complete real-world examples of usage.
- Walkthroughs provide step by step instructions on how to complete a specific task.

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.

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.

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.

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.

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!

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.

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.