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Название: Graph Algorithms: Practical Examples in Apache Spark and Neo4j
Автор: Mark Needham, Amy E. Hodler
Издательство: O'Reilly Media
ISBN: 1492047686
Год: 2019
Страниц: 257
Язык: английский
Формат: True PDF
Размер: 10.2 MB

Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they’re used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns—from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You’ll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics.

Название: Parallel Programming: Concepts and Practice
Автор: Bertil Schmidt, Jorge Gonzalez-Dominguez, Christian Hundt, Moritz Schlarb
Издательство: Morgan Kaufmann
Год: 2018
Страниц: 405
Формат: pdf
Размер: 10 mb
Язык: английский

This book provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings.

Название: Simulation of Dynamic Systems with MATLAB and Simulink
Автор: Harold Klee
Издательство: CRC Press
Год: 2007
Формат: PDF
Страниц: 768
Размер: 10.61 MB
Язык: English

Simulation is increasingly important for students in a wide variety of fields, from engineering and physical sciences to medicine, biology, economics, and applied mathematics. Current trends point toward interdisciplinary courses in simulation intended for all students regardless of their major, but most textbooks are subject-specific and consequently are not suitable for such a course.

Название: Soft Computing Techniques for Engineering Optimization
Автор: Kaushik Kumar, Supriyo Roy, and J. Paulo Davim
Издательство: CRC Press
Год: 2019
Формат: PDF
Страниц: 169
Размер: 10,51 MB
Язык: English

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations.

Название: Flutter Recipes: Mobile Development Solutions for iOS and Android
Автор: Fu Cheng
Издательство: Apress
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 522
Размер: 12.6 Mb
Язык: English

Take advantage of this comprehensive reference to solving common problems when developing with Flutter. Along with an introduction to the basic concepts of Flutter development, the recipes in this book cover all important aspects of this emerging technology, including development, testing, debugging, performance tuning, app publishing, and continuous integration.

Название: Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch
Автор: Sridhar Alla, Suman Kalyan Adari
Издательство: Apress
Год: 2019
Формат: true pdf/epub
Страниц: 416
Размер: 62.9 Mb
Язык: English

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.
This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection.

Название: The Pyramid of Game Design: Designing, Producing and Launching Service Games
Автор: Nicholas Lovell
Издательство: CRC Press
Год: 2019
Формат: PDF
Страниц: 341
Размер: 12,26 MB
Язык: English

Game design is changing. The emergence of service games on PC, mobile and console has created new expectations amongst consumers and requires new techniques from game makers.
In The Pyramid of Game Design, Nicholas Lovell identifies and explains the frameworks and techniques you need to deliver fun, profitable games. Using examples of games ranging from modern free-to-play titles to the earliest arcade games, via PC strategy and traditional boxed titles, Lovell shows how game development has evolved, and provides game makers with the tools to evolve with it.

Название: Learn Python 3: Practical Course for Beginners to Programming in One Week
Автор: William Gray
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 155
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

Have you always wanted to learn programming but you thought is difficult? Eager to learn Python Quickly? The information inside this book is your answer! Code is the language of the future. And the time to learn the ins and outs of coding is now, unless of course you want to be left behind from the biggest revolution that mankind will witness. The secret is in learning programming languages because every electronic device runs on some sort of programming language. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career.

Название: Machine Learning for Beginners: Easy Guide Book
Автор: Jerry N.P.
Издательство: Amazon Digital Services LLC
Год: 2017
Страниц: 53
Язык: английский
Формат: epub, rtf, pdf (conv)
Размер: 10.1 MB

This book is a discussion about Machine Learning (ML). It is the best book for those with little or no knowledge about Machine Learning. The book begins by helping you understand what Machine Learning is. You will also learn the areas in which machine learning is applicable. In machine learning, training is very essential, as it is what helps the machine learning algorithms to learn and show an improvement next time from their experience. This book discusses the various machine learning algorithms.

Название: Python Data Science: Hands on Learning for Beginners
Автор: Travis Booth
Издательство: Independently published
Год: 2019
Страниц: 151
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.7 MB

The complete beginner's guide to data manipulation and visualization with Python! From the basics of Python to the ins and outs of working with Pandas, NumPy and Matplotlib, this book has everything for those looking to get started with Python. This book will guide you through the field of Data Science from the very beginning. The purpose of it is to teach you the process of data science, while also providing you with all the fundamental skills and tools in order to support your learning process. This book is intended for complete beginners looking for a way to easily understand the basics of data science.