Andrew Glassner - Deep Learning, Vol. 1: From Basics to PracticeНазвание: Deep Learning, Vol. 1: From Basics to Practice
Автор: Andrew Glassner
Издательство: Amazon Digital Services LLC
ASIN: B079XSQNRX
Год: 2018
Страниц: 909
Язык: английский
Формат: True PDF
Размер: 130.3 MB

People are using the tools of deep learning to change how we think about science, art, engineering, business, medicine, and even music. This book is for people who want to understand this field well enough to create deep learning systems, train them, and then use them with confidence to make their own contributions.

Kunal Chowdhury - Windows Presentation Foundation Development Cookbook: 100 recipes to build rich desktop client applications on WindowsНазвание: Windows Presentation Foundation Development Cookbook: 100 recipes to build rich desktop client applications on Windows
Автор: Kunal Chowdhury
Издательство: Packt Publishing
ISBN: 1788399803
Год: 2018
Страниц: 524
Язык: английский
Формат: epub, pdf (conv)
Размер: 17.7 MB

Windows Presentation Foundation (WPF) is Microsoft's development tool for building rich Windows client user experiences that incorporate UIs, media, and documents. With the updates in .NET 4.7, Visual Studio 2017, C# 7, and .NET Standard 2.0, WPF has taken giant strides and is now easier than ever for developers to use.

David Paper - Data Science Fundamentals for Python and MongoDBНазвание: Data Science Fundamentals for Python and MongoDB
Автор: David Paper
Издательство: Apress
ISBN: 1484235967
Год: 2018
Страниц: 230
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms.

Yuxi (Hayden) Liu, Pablo Maldonado - R Deep Learning Projects: Master the techniques to design and develop neural network models in RНазвание: R Deep Learning Projects: Master the techniques to design and develop neural network models in R
Автор: Yuxi (Hayden) Liu, Pablo Maldonado
Издательство: Packt Publishing
ISBN: 1788478401
Год: 2018
Страниц: 258
Язык: английский
Формат: epub, azw3, mobi, pdf (conv)
Размер: 26.2 MB

5 real-world projects to help you master deep learning concepts. R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. Deep Learning, as we all know, is one of the trending topics today, and is finding practical applications in a lot of domains.

Neil Smyth - Android Studio 3.0 Development Essentials - Android 8 EditionНазвание: Android Studio 3.0 Development Essentials - Android 8 Edition
Автор: Neil Smyth
Издательство: CreateSpace Independent Publishing Platform
ISBN: 1977540090
Год: 2017
Страниц: 864
Язык: английский
Формат: pdf (conv)
Размер: 28.2 MB

Полностью обновленное издание для Android Studio 3.0 и Android 8, цель которого - обучение необходимым навыкам для разработки приложений для Android, используя интегрированную среду разработки Android Studio (IDE), Android 8 Software Development Kit (SDK) и язык программирования Java. Начиная с основ, эта книга содержит краткое описание шагов, необходимых для настройки и тестирования среды разработки Android.

Giuseppe Ciaburro, V. Kishore Ayyadevara - Hands-On Machine Learning on Google Cloud PlatformНазвание: Hands-On Machine Learning on Google Cloud Platform
Автор: Giuseppe Ciaburro, V. Kishore Ayyadevara, Alexis Perrier
Издательство: Packt Publishing
ISBN: 1509304444
Год: 2018
Страниц: 500
Язык: английский
Формат: epub
Размер: 22.5 MB

Unleash Google's Cloud Platform to build, train and optimize machine learning models. Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions.

Собираем устройства для тестов на проникновениеНазвание: Собираем устройства для тестов на проникновение
Автор: А. Бирюков
Издательство: ДМК пресс
Год: 2018
Страниц: 380
Язык: Русский
Формат: pdf
Размер: 124,5 Mb

Многообразие и доступность различных недорогих аппаратных платформ, таких как Arduino, Raspberry Pi и др., простота их программирования, и при этом практически полное отсутствие средств защиты от них делают хакерские устройства мощным и опасным средством реализации компьютерных атак.

Paul Crickard, Eric van Rees - Mastering Geospatial Analysis with PythonНазвание: Mastering Geospatial Analysis with Python
Автор: Paul Crickard, Eric van Rees, Silas Toms
Издательство: Packt Publishing
ISBN: 1788293339
Год: 2018
Страниц: 440
Язык: английский
Формат: epub
Размер: 33.7 MB

Explore GIS processing and learn to work with various tools and libraries in Python. Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management.

Jalai Thanaki - Machine Learning SolutionsНазвание: Machine Learning Solutions
Автор: Jalai Thanaki
Издательство: Packt Publishing
ISBN: 1788390040
Год: 2018
Страниц: 566
Язык: английский
Формат: epub
Размер: 69.8 MB

Practical, hands-on solutions in Python to overcome any problem in Machine Learning. Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job.

Rohit M. Thanki, Ashish M. Kothari - Digital Image Processing using SCILABНазвание: Digital Image Processing using SCILAB
Автор: Rohit M. Thanki, Ashish M. Kothari
Издательство: Springer
ISBN: 331989532X
Год: 2018 (2019 Edition)
Страниц: 168
Язык: английский
Формат: pdf (true), epub
Размер: 13.9 MB

This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts.