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Angular Basics by Scripty

This is just a small book, inspired by other free, short, and friendly programming texts such as Alex MacCaw's The Little Book on CoffeeScript. I wrote this book to teach Angular the way I wish I had learned it, and for that reason it aims to be a good introduction to using the library in the context of typical, fast-paced web development work.

Hands-On Deep Learning Architectures with Python

Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures.

Hands-On Reinforcement Learning with Python

The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration.

Machine Learning with Apache Spark Quick Start Guide

The focus of Machine Learning with Apache Spark is to help us answer these questions in a hands-on manner. We introduce the latest scalable technologies to help us manage and process big data. We then introduce advanced analytical algorithms applied to real-world use cases in order to uncover patterns, derive actionable insights, and learn from this big data.

Machine Learning with R - Third Edition

Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.

Mastering Blockchain - Second Edition

Learn about cryptography and cryptocurrencies, so you can build highly secure, decentralized applications and conduct trusted in-app transactions.

Mastering Python for Finance - Second Edition

The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies.

Python Deep Learning for Beginners

This course will teach you to apply deep learning concepts using Python to solve challenging tasks. You'll build a Python deep learning-based image recognition system and deploy and integrate images into web apps or phone apps.

Python Machine Learning Cookbook - Second Edition

With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach.

TensorFlow Deep Learning Projects

TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks.

Blockchain across Oracle

Blockchain across Oracle gives you the professional orientation to Blockchain that you need as an Oracle developer in today's changing world.

Effective UX Design

You will learn how to combine methods in a smart way to plan a cost-effective process without compromising your design research and ideation, which are the crucial foundation any successful product is built upon.

Understanding Software

Understanding Software covers many areas of programming, from how to write simple code to profound insights into programming, and then how to suck less at what you do!

Deep Learning with TensorFlow 2 and Keras - Second Edition

Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.

Python Machine Learning - Third Edition

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.

Mastering Go

Offering a compendium of Go, the book begins with an account of how Go has been implemented. You'll also benefit from an in-depth account of concurrency and systems and network programming imperative for modern-day native cloud development through the course of the book.

Security with Go

Security with Go is the first Golang security book, and it is useful for both blue team and red team applications. With this book, you will learn how to write secure software, monitor your systems, secure your data, attack systems, and extract information.

Machine Learning Systems with Python

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.

Azure Resource Manager Templates Quick Start Guide

Azure Resource Manager (ARM) templates are declarations of Azure resources in the JSON format to provision and maintain them using infrastructure as code. This book gives practical solutions and examples for provisioning and managing various Azure services using ARM templates.

Hands-On Kubernetes and Docker for Distributed Applications [Video]

This course shows you how Docker can be used to isolate your application services and their dependencies into a single self-contained unit that can reliably run anywhere. You will learn to build, ship and run distributed applications on any platform using Kubernetes as the orchestrator.

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