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Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

Sensors: Theory, Algorithms, and Applications (Springer Optimization and Its Applications)
Sensors: Theory, Algorithms, and Applications (Springer Optimization and Its Applications)
In recent years, technological advances have resulted in the rapid development of a new exciting research direction – the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. Application areas include military surveillance, environmental screening, computational neuroscience,...
Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Kafka: The Definitive Guide: Real-time data and stream processing at scale
Kafka: The Definitive Guide: Real-time data and stream processing at scale

Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you’ll understand how Kafka works and how it’s designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure,...

Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture
Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world,...

Data Protection
Data Protection

This is the fundamental truth about data protection: backup is dead.

Or rather, backup and recovery, as a standalone topic, no longer has relevance in IT. As a standalone topic, it’s been killed off by seemingly exponential growth in storage and data, by the cloud, and by virtualization.

So what is data...

Python for Graph and Network Analysis (Advanced Information and Knowledge Processing)
Python for Graph and Network Analysis (Advanced Information and Knowledge Processing)

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego,...

Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)
Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...

Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Introduction to Embedded Systems: Using ANSI C and the Arduino Development Environment (Synthesis Lectures on Digital Circuits and Systems)
Introduction to Embedded Systems: Using ANSI C and the Arduino Development Environment (Synthesis Lectures on Digital Circuits and Systems)

Many electrical and computer engineering projects involve some kind of embedded system in which a microcontroller sits at the center as the primary source of control.

The recently-developed Arduino development platform includes an inexpensive hardware development board hosting an eight-bit ATMEL ATmega-family processor...

Image Processing in C
Image Processing in C
This book is a tutorial on image processing. Each chapter explains basic concepts with words and figures, shows image processing results with pho- tographs, and implements the operations in C. Information herein comes from articles published in The C/C++ Users Journal from 1990 through 1998 and from the first edition of this book...
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