£98.61

CRC Press Data Science with Julia

Name: Data Science with Julia
Brand: CRC Press
Price: 98.61 GBP
Availability: InStock

Data Mining

It has never been this cheap. We have no record of a lower price.

£99 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 59 days · 59 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 59 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £99 (48 days, 81.4%)

Price range: £99 - £145

Price levels: 2 different prices over 59 days

Description

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work. Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science. "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist." Professor Charles Bouveyron INRIA Chair in Data Science Université Côte d’Azur, Nice, France

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138499994
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 19 December 2018
Listed Since: 30 June 2018

Barcode

No barcode data available

CRC Press Data Science with Julia

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Julia for Data Science

Practical Julia: A Hands-On Introduction for Scientific Minds

Julia for Data Analysis

Julia as a Second Language: General Purpose Programming with a Taste of Data Science

Modern Data Visualization with R (Chapman & Hall/CRC The R Series)

Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

Big Data and Social Science: Data Science Methods and Tools for Research and Practice (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

Telling Stories with Data: With Applications in R (Chapman & Hall/CRC Data Science Series)

Springer Advanced Data Analytics in Health - Smart Innovation 93

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

R Programming: This book includes: R Basics for Beginners + R Data Analysis and Statistics + R Data Visualization: 4

Hands on Data Science for Biologists Using Python

Hands on Data Science for Biologists Using Python

Practical R for Mass Communication and Journalism (Chapman & Hall/CRC The R Series)

Big Data and Social Science: Data Science Methods and Tools for Research and Practice (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition (360 Degree Business)

SOME RECENT ADVANCES IN MATHEMATICS AND STATISTICS - PROCEEDINGS OF STATISTICS 2011 CANADA/IMST 2011-FIM XX

Interactive Web-Based Data Visualization with R, plotly, and shiny (Chapman & Hall/CRC The R Series)

A Handbook of Statistical Analyses Using S-PLUS

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Computing with Data: An Introduction to the Data Industry

Foundations of Data and Digital Journalism