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Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Network Security Through Data Analysis: From Data to Action
Network Security Through Data Analysis: From Data to Action

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll...

Learning Continuous Integration with Jenkins
Learning Continuous Integration with Jenkins

Key Features

  • Speed up and increase software productivity and software delivery using Jenkins
  • Automate your build, integration, release, and deployment processes with Jenkins―and learn how continuous integration (CI) can save you time and money
  • Explore the power of continuous delivery...
Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
Data Analysis with R
Data Analysis with R

Key Features

  • Load, manipulate and analyze data from different sources
  • Gain a deeper understanding of fundamentals of applied statistics
  • A practical guide to performing data analysis in practice

Book Description

Frequently the tool of choice for academics, R...

Mastering Java Machine Learning: Mastering and implementing advanced techniques in machine learning
Mastering Java Machine Learning: Mastering and implementing advanced techniques in machine learning

Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning

About This Book

  • Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects
  • More than 15 open source Java tools...
Interactive 3D Multimedia Content: Models for Creation, Management, Search and Presentation
Interactive 3D Multimedia Content: Models for Creation, Management, Search and Presentation

The book describes recent research results in the areas of modelling, creation, management and presentation of interactive 3D multimedia content. The book describes the current state of the art in the field and identifies the most important research and design issues. Consecutive chapters address these issues. These are: database modelling of...

Fundamentals of Electromagnetics for Electrical and Computer Engineering (Illinois Ece)
Fundamentals of Electromagnetics for Electrical and Computer Engineering (Illinois Ece)

Fundamentals of Electromagnetics for Electrical and Computer Engineering, First Edition is appropriate for all beginning courses in electromagnetics, in both electrical engineering and computer engineering programs. This is ideal for anyone interested in learning more about electromagnetics. 

...
Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark
Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark

Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from...

Microservices From Day One: Build robust and scalable software from the start
Microservices From Day One: Build robust and scalable software from the start

Learn what a microservices architecture is, its advantages, and why you should consider using one when starting a new application. The book describes how taking a microservices approach from the start helps avoid the complexity and expense of moving to a service-oriented approach after applications reach a critical code base size or...

Microservices: Building Scalable Software
Microservices: Building Scalable Software

With the introduction of the cloud, enterprise application development moved from monolithic applications to small, lightweight, and process-driven components called microservices.

Microservices architecture is a style of software architecture, which makes application development easier and offers great flexibility to utilize
...

Transactions on Pattern Languages of Programming III (Lecture Notes in Computer Science)
Transactions on Pattern Languages of Programming III (Lecture Notes in Computer Science)

The Transactions on Pattern Languages of Programming subline aims to publish papers on patterns and pattern languages as applied to software design, development, and use, throughout all phases of the software life cycle, from requirements and design to implementation, maintenance and evolution. The primary focus of this LNCS Transactions...

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