Data Modeling category: 403 books

Cover of Designing Machine Learning Systems with Python
by David Julian
Language: English
Release Date: April 6, 2016

Design efficient machine learning systems that give you more accurate results About This Book Gain an understanding of the machine learning design process Optimize machine learning systems for improved accuracy Understand common programming tools and techniques for machine learning Develop techniques...
Cover of Computational Materials Engineering

Computational Materials Engineering

Achieving High Accuracy and Efficiency in Metals Processing Simulations

by Maciej Pietrzyk, Ph.D., Lukasz Madej
Language: English
Release Date: July 14, 2015

Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible...
Cover of Pentaho Analytics for MongoDB
by Bo Borland
Language: English
Release Date: February 21, 2014

This is an easy-to-follow guide on the key integration points between Pentaho and MongoDB. This book employs a practical approach designed to have Pentaho configured to talk to MongoDB early on so that you see rapid results. This book is intended for business analysts, data architects, and developers...
Cover of Learning Quantitative Finance with R
by Dr. Param Jeet, Prashant Vats
Language: English
Release Date: March 24, 2017

Implement machine learning, time-series analysis, algorithmic trading and more About This Book Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain...
Cover of R Data Mining
by Andrea Cirillo
Language: English
Release Date: November 29, 2017

Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from...
Cover of Java: Data Science Made Easy
by Richard M. Reese, Jennifer L. Reese, Alexey Grigorev
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...
Cover of Practical Data Wrangling
by Allan Visochek
Language: English
Release Date: November 15, 2017

Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and R About This Book 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...
Cover of Big Data Architect’s Handbook

Big Data Architect’s Handbook

A guide to building proficiency in tools and systems used by leading big data experts

by Syed Muhammad Fahad Akhtar
Language: English
Release Date: June 21, 2018

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured...
Cover of Data Lake for Enterprises
by Tomcy John, Pankaj Misra
Language: English
Release Date: May 31, 2017

A practical guide to implementing your enterprise data lake using Lambda Architecture as the base About This Book Build a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the base Delve into the big data technologies required to...
Cover of Hands-On Data Science with SQL Server 2017

Hands-On Data Science with SQL Server 2017

Perform end-to-end data analysis to gain efficient data insight

by Marek Chmel, Vladimír Mužný
Language: English
Release Date: November 29, 2018

Find, explore, and extract big data to transform into actionable insights Key Features Perform end-to-end data analysis—from exploration to visualization Real-world examples, tasks, and interview queries to be a proficient data scientist Understand how SQL is used for big data processing using...
Cover of Data Science for Business

Data Science for Business

What You Need to Know about Data Mining and Data-Analytic Thinking

by Foster Provost, Tom Fawcett
Language: English
Release Date: July 27, 2013

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect....
Cover of Principles of Data Science
by Sinan Ozdemir
Language: English
Release Date: December 16, 2016

Learn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how to perform real-world data science tasks with R and Python Create...
Cover of Practical Data Science Cookbook - Second Edition
by Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy
Language: English
Release Date: June 29, 2017

Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and...
Cover of Mastering Spark for Data Science
by Andrew Morgan, Antoine Amend, Matthew Hallett
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...
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