Practical Machine Learning with Python: A Problem-Solver’s Guide to Building Real-World Intelligent Systems

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used…

Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming. Key Features Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j Solve real-world machine learning problems by delving complex numerical computing with Scala functional programming in a scalable and…

The GIS 20: Essential Skills

The GIS 20: Essential Skills, third edition, updated for ArcGIS Desktop (R) 10.6, presents step-by-step instructions, illustrations, and practical tips on how to perform the top 20 skills needed to successfully use a geographic information system (GIS). These skills include finding and editing data, querying GIS maps, creating reports, and sharing and publishing maps. Buy…

Ansible 2 Cloud Automation Cookbook: Write Ansible playbooks for AWS, Google Cloud, Microsoft Azure, and OpenStack

Orchestrate your cloud infrastructure Key Features Recipe-based approach to install and configure cloud resources using Ansible Covers various cloud-related modules and their functionalities Includes deployment of a sample application to the cloud resources that we create Learn the best possible way to manage and automate your cloud infrastructure Book Description Ansible has a large collection…

Cloud Native Development Patterns and Best Practices: Practical architectural patterns for building modern, distributed cloud-native systems

Learn to apply cloud-native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key Features Understand the architectural patterns involved in cloud-native architectures Minimize risk by evolving your monolithic applications into distributed cloud-native systems Discover best practices for applying cloud-native patterns to your enterprise-level cloud applications Book Description Build systems that…

A Textbook of Java Programming

This book covers all the core java concepts of java programming language. It also touches some of its advanced concepts. It starts with talking about some of the basic concepts like data types, control structures, and classes. It also discusses about exception handling, multithreading and java libraries.Further, it explains how to interact with client side…

Beginning Salesforce Developer

Get started developing on the Force.com platform in no time. With step-by-step guidance, starting with setting up your developer environment and progressing through to deploying to production, you will learn industry best practices to release robust custom applications with tangible benefits to your company or your client. Geared specifically toward beginning developers, Beginning Salesforce Developer…

Practical Machine Learning with Python: A Problem-Solver’s Guide to Building Real-World Intelligent Systems

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used…

Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming. Key Features Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j Solve real-world machine learning problems by delving complex numerical computing with Scala functional programming in a scalable and…