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Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.

Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book...

SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance
SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance

Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.

...

Effective Java
Effective Java

The Definitive Guide to Java Platform Best Practices–Updated for Java 7, 8, and 9

 

Java has changed dramatically since the previous edition of Effective Java was published shortly after the release of Java 6. This Jolt...

Enterprise Cybersecurity Study Guide: How to Build a Successful Cyberdefense Program Against Advanced Threats
Enterprise Cybersecurity Study Guide: How to Build a Successful Cyberdefense Program Against Advanced Threats

Use the methodology in this study guide to design, manage, and operate a balanced enterprise cybersecurity program that is pragmatic and realistic in the face of resource constraints and other real-world limitations. This guide is an instructional companion to the book Enterprise Cybersecurity: How to Build a Successful...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision and...
PostgreSQL 10 High Performance: Expert techniques for query optimization, high availability, and efficient database maintenance
PostgreSQL 10 High Performance: Expert techniques for query optimization, high availability, and efficient database maintenance

Leverage the power of PostgreSQL 10 to design, administer and maintain a high-performance database solution

Key Features

  • Obtain optimal PostgreSQL 10 database performance, ranging from initial design to routine maintenance
  • Fine tune the performance of your queries and...
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...
Java Quick Syntax Reference
Java Quick Syntax Reference

Quickly gain the insight necessary to address a multitude of Java coding challenges using this succinct reference guide. Short, focused code examples will help you master Java elements such as modules, boxing/unboxing and more.

You won’t find any technical jargon, bloated samples, drawn out history lessons or witty...

Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI...
ASP.NET Core 2 Fundamentals: Build cross-platform apps and dynamic web services with this server-side web application framework
ASP.NET Core 2 Fundamentals: Build cross-platform apps and dynamic web services with this server-side web application framework

Imagine the boost in business if you can build large, rich web applications with little code and built-in Windows authentication. With this book, you can gain skills to develop real-world applications with ASP.NET Core 2.

Key Features

  • Adopts the application-centric approach to explain core...
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