Data Processing category: 1302 books
by Giuseppe Bonaccorso
Language: English
Release Date: July 24, 2017
Language: English
Release Date: July 24, 2017
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide
About This Book
Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.
Your one-stop solution for everything...
by Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy
Language: English
Release Date: April 24, 2017
Language: English
Release Date: April 24, 2017
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide
About This Book
Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
Explore deep neural networks...
Hands-On Machine Learning on Google Cloud Platform
Implementing smart and efficient analytics using Cloud ML Engine
Language: English
Release Date: April 30, 2018
Unleash Google's Cloud Platform to build, train and optimize machine learning models
Key Features
Get well versed in GCP pre-existing services to build your own smart models
A comprehensive guide covering aspects from data processing, analyzing to building and training ML models
A practical approach...
Getting Started with Storm
Continuous Streaming Computation with Twitter's Cluster Technology
Language: English
Release Date: August 31, 2012
Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete...
by
Language: English
Release Date: August 13, 2013
Language: English
Release Date: August 13, 2013
These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is...
Hadoop: The Definitive Guide
The Definitive Guide
Language: English
Release Date: May 29, 2009
Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build...
by Jaynal Abedin
Language: English
Release Date: October 10, 2017
Language: English
Release Date: October 10, 2017
Recipes for emerging developers in R programming and data scientists to simplify their R programming capabilities
About This Book
Develop strategies to speed up your R code
Tackle programming problems and explore both functional and object-oriented programming techniques
Learn how to address...
Mastering Machine Learning with R
Advanced machine learning techniques for building smart applications with R 3.5, 3rd Edition
Language: English
Release Date: January 31, 2019
Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications
Key Features
Build independent machine learning (ML) systems leveraging the best features of R 3.5
Understand and apply different...
by Richard M. Reese, Jennifer L. Reese, Alexey Grigorev
Language: English
Release Date: July 11, 2017
Language: English
Release Date: July 11, 2017
Data collection, processing, analysis, and more
About This Book
Your entry ticket to the world of data science with the stability and power of Java
Explore, analyse, and visualize your data effectively using easy-to-follow examples
A highly practical course covering a broad set of topics - from...
by Phuong Vothihong, Martin Czygan, Ivan Idris
Language: English
Release Date: June 7, 2017
Language: English
Release Date: June 7, 2017
Leverage the power of Python to clean, scrape, analyze, and visualize your data
About This Book
Clean, format, and explore your data using the popular Python libraries and get valuable insights from it
Analyze big data sets; create attractive visualizations; manipulate and process various data...
by Muhammad Rafiq Abuturab, He Wenqi, Ali Mansour
Language: English
Release Date: April 10, 2018
Language: English
Release Date: April 10, 2018
New image-processing tools and data-processing network systems have considerably increased the volume of transmitted information such as 2D and 3D images with high resolution. Thus, more complex networks and long processing times become necessary, and high image quality and transmission speeds are...
by
Language: English
Release Date: February 14, 2017
Language: English
Release Date: February 14, 2017
The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource...
Practical Big Data Analytics
Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
Language: English
Release Date: January 15, 2018
Get command of your organizational Big Data using the power of data science and analytics
Key Features
A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions
Work with the best tools such as Apache Hadoop, R, Python, and Spark...
by Andrew Morgan, Antoine Amend, Matthew Hallett
Language: English
Release Date: March 30, 2017
Language: English
Release Date: March 30, 2017
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products
About This Book
Develop and apply advanced analytical techniques with Spark
Learn how to tell a compelling story with data science using Spark's...