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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.

...

Expert SQL Server Transactions and Locking: Concurrency Internals for SQL Server Practitioners
Expert SQL Server Transactions and Locking: Concurrency Internals for SQL Server Practitioners
Some time ago, one of my colleagues asked me, “What do you like about SQL Server the most?” I had heard this question many times before, and so I provided my usual answer: “SQL Server Internals. I like to understand how the product works and solve complex problems with this knowledge.”

His
...
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...
Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark

A solution-based guide to put your deep learning models into production with the power of Apache Spark

Key Features

  • Discover practical recipes for distributed deep learning with Apache Spark
  • Learn to use libraries such as Keras and TensorFlow
  • Solve...
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow

Key Features

  • Weave neural networks into linguistic applications across various platforms
  • Perform NLP tasks and train its models using NLTK and TensorFlow
  • Boost your NLP...
Microsoft Tabular Modeling Cookbook
Microsoft Tabular Modeling Cookbook

No prior knowledgeof tabular modeling is needed to benefit from this brilliant cookbook. This is the total guide to developing and managing analytical models using the Business Intelligence Semantic Models technology.

Overview

  • Develop tabular models for personal use
  • Learn about the modeling...
Building Django 2.0 Web Applications: Create enterprise-grade, scalable Python web applications easily with Django 2.0
Building Django 2.0 Web Applications: Create enterprise-grade, scalable Python web applications easily with Django 2.0

Go from the initial idea to a production-deployed web app using Django 2.0.

Key Features

  • A beginners guide to learning python's most popular framework, Django
  • Build fully featured web projects in Django 2.0 through examples.
  • Deploy web applications in...
Fixing Bad UX Designs: Master proven approaches, tools, and techniques to make your user experience great again
Fixing Bad UX Designs: Master proven approaches, tools, and techniques to make your user experience great again

A practical guide filled with case studies and easy solutions to solve the most common user experience issues

Key Features

  • Understand and fix the pain points of a bad UX design to ensure greater customer satisfaction.
  • Correct UX issues at various stages of a UX Design with...
Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.  

This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited
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Spark for Python Developers
Spark for Python Developers

Key Features

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)
  • Inject live data using Spark Streaming with real-time events

Book Description

Looking...

Mike Meyers' CompTIA Security+ Certification Passport, Fifth Edition  (Exam SY0-501) (Mike Meyers' Certification Passport)
Mike Meyers' CompTIA Security+ Certification Passport, Fifth Edition (Exam SY0-501) (Mike Meyers' Certification Passport)

This quick review, cram-style study guide offers 100% coverage of every topic on the latest version of the CompTIA Security+ exam

200 PRACTICE QUESTIONS FROM THE #1 NAME IN PROFESSIONAL CERTIFICATION!

This powerful exam preparation resource presents an accelerated review of the pertinent technology and...

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