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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...

Database Processing: Fundamentals, Design, and Implementation (13th Edition)
Database Processing: Fundamentals, Design, and Implementation (13th Edition)

Get students straight to the point of database processing. Database Processing reflects a new teaching method that gets students straight to the point with its thorough and modern presentation of database processing fundamentals.
 

The thirteenth edition has been...

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...

Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring
Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring

The advent of increasingly large consumer collections of audio(e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube)is driving a need not only for multimedia retrieval but alsoinformation extraction from and across media. Furthermore,industrial and government collections fuel requirements for stockmedia access, media preservation,...

System Parameter Identification: Information Criteria and Algorithms (Elsevier Insights)
System Parameter Identification: Information Criteria and Algorithms (Elsevier Insights)

Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing,...

Bioinformatics: Databases and Systems
Bioinformatics: Databases and Systems

Bioinformatics brings computational methods to the analysis and processing of genomic data. Bioinformatics: Databases and Systems focuses on the issues of system building and data curation that dominate the day-to-day concerns of bioinformatics practitioners. Included are chapters by many of today's leading bioinformatics...

Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science)
Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science)

This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and...

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...

Cell Biology
Cell Biology

The much-anticipated 3rd edition of Cell Biology delivers comprehensive, clearly written, and richly illustrated content to today’s students, all in a user-friendly format. Relevant to both research and clinical practice, this rich resource covers key principles of cellular function and uses them to explain...

Java in 21 Days, Sams Teach Yourself (Covering Java 8) (7th Edition)
Java in 21 Days, Sams Teach Yourself (Covering Java 8) (7th Edition)

In just 21 days you can acquire the knowledge and skills necessary to develop applications on your computer and apps that run on Android phones and tablets. With this complete tutorial you’ll quickly master the basics and then move on to more advanced features and concepts.

Completely updated for Java 8,...

Discrete and Continuous Fourier Transforms: Analysis, Applications and Fast Algorithms
Discrete and Continuous Fourier Transforms: Analysis, Applications and Fast Algorithms
Long employed in electrical engineering, the discrete Fourier transform (DFT) is now applied in a range of fields through the use of digital computers and fast Fourier transform (FFT) algorithms. But to correctly interpret DFT results, it is essential to understand the core and tools of Fourier analysis. Discrete and Continuous Fourier...
Daniel Arbuckle's Mastering Python
Daniel Arbuckle's Mastering Python

Key Features

  • Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
  • Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
  • Get introduced to the mechanism for rewriting code in a...
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