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Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications....
Trade Facilitation Capacity Needs: Policy Directions for National and Regional Development in West Africa
Trade Facilitation Capacity Needs: Policy Directions for National and Regional Development in West Africa
This book provides a comprehensive analysis of both national and regional trade facilitation capacities, issues, challenges and lessons, with a special interest in sustainably advancing West Africa’s regional trade facilitation agenda. It examines the contributions of trade facilitation towards enhancing regional integration and economic...
Python: Data Analytics and Visualization
Python: Data Analytics and Visualization

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for...

TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Practical Enterprise Software Development Techniques: Tools and Techniques for Large Scale Solutions
Practical Enterprise Software Development Techniques: Tools and Techniques for Large Scale Solutions

This expanded and updated edition of "Practical Enterprise Software Development Techniques" includes a new chapter which explains what makes enterprise scale software development different from other development endeavors. Chapter 4 has been expanded with additional coverage of code review, bug tracker systems and agile software...

Building Web Applications with Visual Studio 2017: Using .NET Core and Modern JavaScript Frameworks
Building Web Applications with Visual Studio 2017: Using .NET Core and Modern JavaScript Frameworks

Learn how to build web applications from three Microsoft MVPs. After building the data application layer using Entity Framework Core and a RESTful service using ASP.NET Core, you will then build the client side web application three ways: first, using ASP.NET Core, then using Angular 2, and, finally, using React.  You will be...

Building Web Applications with .NET Core 2.1 and JavaScript: Leveraging Modern JavaScript Frameworks
Building Web Applications with .NET Core 2.1 and JavaScript: Leveraging Modern JavaScript Frameworks

Roll up your sleeves and jump into building web applications using .NET Core 2.1 and the most popular JavaScript frameworks.

You will start by building a data access layer using Entity Framework Core, a RESTful service using ASP.NET Core, and then you will build a web application following the MVC pattern, also using...

Modern Big Data Processing with Hadoop: Expert techniques for architecting end-to-end Big Data solutions to get valuable insights
Modern Big Data Processing with Hadoop: Expert techniques for architecting end-to-end Big Data solutions to get valuable insights

A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop

Key Features

  • Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform
  • Conquer different data...
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle

Key Features

  • Create and share interactive documents with live code, text and visualizations
  • Integrate popular programming languages such as Python, R, Julia, Scala...
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

  • Use Anaconda to find solutions for clustering, classification, and linear regression
  • Analyze your data efficiently with the most powerful data...
Complete Guide to Open Source Big Data Stack
Complete Guide to Open Source Big Data Stack

See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together.

In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private...

xUnit Test Patterns: Refactoring Test Code (The Addison-Wesley Signature Series)
xUnit Test Patterns: Refactoring Test Code (The Addison-Wesley Signature Series)
Automated testing is a cornerstone of agile development. An effective testing strategy will deliver new functionality more aggressively, accelerate user feedback, and improve quality. However, for many developers, creating effective automated tests is a unique and unfamiliar challenge.

xUnit Test Patterns is the...

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