Learn IT - Books tags next

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Apress, 2020

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0....

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Apress, 2019

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...

The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects

Apress, 2019

Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger.

This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn...

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Packt Publishing, 2018

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

Explore deep learning across computer vision, natural language processing (NLP), and image processing

Discover best practices for the training of deep neural...

Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

No Starch Press, 2019

Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian...

Learn Java 12 Programming: A step-by-step guide to learning essential concepts in Java SE 10, 11, and 12

Packt Publishing, 2019

A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming

Key Features

Strengthen your knowledge of important programming concepts and the latest features in Java

Explore core...

Google Flutter Mobile Development Quick Start Guide: Get up and running with iOS and Android mobile app development

Packt Publishing, 2019

A fast-paced guide to get you started with cross-platform mobile application development with Google Flutter

Key Features

Understand the fundamentals of Flutter and get started with cross-platform mobile app development.

Learn about different widgets in Flutter and...

Smoking Meat 101: The Ultimate Beginner's Guide

Rockridge Press, 2019

Smokin’ hot tips for new pitmasters!

The right tools, the best wood, the ideal temperature?there’s a lot to know about smoking meat. That’s why Smoking Meat 101 offers a crash course that’ll have you serving up sumptuous smoked masterpieces in no time.

...

Hands-On Kubernetes on Azure: Run your applications securely and at scale on the most widely adopted orchestration platform

Packt Publishing, 2019

Efficiently deploy and manage Kubernetes clusters on a cloud

Key Features

Deploy highly scalable applications with Kubernetes on Azure

Leverage AKS to deploy, manage, and operations of Kubernetes

Gain best practices from this guide to increase efficiency...

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Packt Publishing, 2018

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features

Build TensorFlow-powered AI applications for mobile and embedded devices

Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning

...

Practical Microservices Architectural Patterns: Event-Based Java Microservices with Spring Boot and Spring Cloud

Apress, 2019

Take your distributed applications to the next level and see what the reference architectures associated with microservices can do for you. This book begins by showing you the distributed computing architecture landscape and provides an in-depth view of microservices architecture. Following this, you will work with CQRS, an essential...

Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)

Springer, 2020

This book explores recent advances in blockchain technology and its impact on Industry 4.0 via advanced technologies. It provides an in-depth analysis of the step by step evolution of Industry 4.0 and blockchain technologies for creating the next-generation, secure, decentralized, distributed and trusted industry environment and...

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