Название: Artificial Intuition: The Improbable Deep Learning Revolution
Автор: Carlos E Perez
Издательство: CreateSpace Independent Publishing Platform
ISBN: 1983895644
Год: 2018
Страниц: 394
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.9 MB

I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook". The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives.

Название: TinyML: Machine Learning with TensorFlow on Arduino, and Ultra-Low Power Micro-Controllers (Early Release)
Автор: Pete Warden, Daniel Situnayake
Издательство: O'Reilly Media
Год: 2019
Формат: epub/mobi/pdf(conv.)
Размер: 3 Mb
Язык: English

Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size—small enough to work on the digital signal processor in an Android phone. With this practical book, you’ll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware.

Название: Deep Learning for NLP and Speech Recognition
Автор: Uday Kamath, John Liu, James Whitaker
Издательство: Springer
Год: 2019
Страниц: 640
Язык: английский
Формат: pdf (true)
Размер: 19.1 MB

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book.

Название: Elements of Android Jetpack 0.4
Автор: Mark L. Murphy
Издательство: CommonsWare, LLC
Год: 2019
Страниц: 683
Язык: английский
Формат: pdf (true), epub
Размер: 12.3 MB

После десятилетней разработки приложений для Android в 2018 году стартовало второе поколение технологий разработки приложений для Android, выдвигающих на первый план Jetpack и семейство библиотек AndroidX. Эта книга следует по стопам "Руководства занятого программиста по разработке Android", чтобы познакомить программистов с разработкой приложений для Android, сосредоточив внимание на Jetpack. Из этой книги вы узнаете, как настроить приложение Android для Java или Kotlin, создать пользовательский интерфейс и многое другое!

Название: Programming Kubernetes: Developing Cloud Native Applications (Early Release)
Автор: Stefan Schimanski, Michael Hausenblas
Издательство: O'Reilly Media, Inc.
Год: 2019
Формат: epub
Для сайта: vtome.ru
Размер: 10.8 Mb
Язык: English

While Kubernetes has established itself as the industry standard for managing containers and their lifecycles, there’s a definite need for good practices on how to write native applications. Until now, knowledge on programming Kubernetes has been scattered over a thousands of Slack channels and Stack Overflow answers. This practical guide shows application and infrastructure developers, DevOps practitioners, and site reliability engineers how to develop cloud-native apps that run on Kubernetes.

Название: Working with Vue.js
Автор: Jack Franklin, Michael Wanyoike, Ahmed Bouchefra
Издательство: SitePoint
Год: 2019
Страниц: 155
Язык: английский
Формат: epub, pdf (conv)
Размер: 10,2 MB

As soon as the popular javascript framework Vue.js released v2, I was eager to give it a spin and see what it’s like to work with. As someone who’s pretty familiar with Angular and React, I was looking forward to seeing the similarities and differences between them and Vue. Vue 2 sports excellent performance stats, a relatively small payload (the bundled runtime version of Vue weighs in at 30KB once minified and gzipped), along with updates to companion libraries like vue-router and Vuex, the state management library for Vue. There’s far too much to cover in just one article, but keep an eye out for some later articles where we’ll look more closely at various libraries that couple nicely with the core framework.

Название: Computing and Random Numbers
Автор: Zoran Gacovski
Издательство: Arcler Press
Год: 2018
Формат: PDF
Размер: 34 Мб
Язык: английский / English

Computing and random numbers examines various aspects of random numbers and variables including an extensive overview of Computing and random numbers. It includes Implementation of Hardware-Accelerated Scalable Parallel Random Number Generators, True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random Number Generators, Random Route and Quota Sampling: Do They Offer Any Advantage over Probably Sampling Method and Fuzzy -Means and Cluster Ensemble with Random Projection for Big Data Clustering. Provides the reader with insights into the development of its history, so as to understand the social emotional optimization algorithm with random emotional selection strategy, lymph diseases prediction using random forest and particle swarm optimization, challenges of internal and external variables of consumer behaviour towards mobile.

Название: Vue.js: 11 Practical Projects
Автор: James Hibbard, Yomi Eluwande, Michael Wanyoike
Издательство: SitePoint
Год: 2019
Страниц: 363
Язык: английский
Формат: epub, pdf (conv)
Размер: 10,1 MB

One the reasons I like Vue.js so much is that it can be used in a wide variety of scenarios and can be integrated into many different kinds of projects. So to me, Vue is a universal, multipurpose framework. In this aspect, it reminds me of the Python programming language, which is also easy to learn and use, and can be applied in many areas. In this tutorial, we’ll explore one of the less obvious uses for Vue - game development.

Название: Vue.js: Tools & Skills
Автор: James Hibbard, Maria Antonietta Perna
Издательство: SitePoint
Год: 2019
Страниц: 363
Язык: английский
Формат: epub, pdf (conv)
Размер: 10,8 MB

Since its release in 2014, Vue.js has seen a meteoric rise to popularity and is is now considered one of the primary front-end frameworks, and not without good reason. Its component-based architecture was designed to be flexible and easy to adopt, making it just as easy to integrate into projects and use alongside non-Vue code as it is to build complex client-side applications.

Название: A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control
Автор: Kartik Hosanagar
Издательство: Viking
ISBN: 0525560882
Год: 2019
Страниц: 272
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.1 MB

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us. Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms—decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking.