Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series) - Image 1

£166.98

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

Name: Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)
Brand: CRC Press
Price: 166.98 GBP
Availability: InStock

Econometrics

This is the most expensive it has ever been. Walk away.

£167 today · previous high £167 · all-time low £155

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 583 days • 583 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 583 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £158 (305 days, 52.3%)

Price range: £155 - £167

Price levels: 4 different prices over 583 days

Description

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book‘s collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including: Non-standard, complex data formats, such as robot logs and email messages Text processing and regular expressions Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth Statistical methods, such as classification trees, k-nearest neighbors, and na Bayes Visualization and exploratory data analysis Relational databases and Structured Query Language (SQL) Simulation Algorithm implementation Large data and efficiency Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data. Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers computational reasoning of real-world data analyses.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138469297
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 15 November 2017
Listed Since: 16 November 2017

Barcode

No barcode data available

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

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

The Beginner's Guide to Data Science

Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

Big Data and Smart Digital Environment: 53 (Studies in Big Data, 53)

No Bullshit Math for Data Science: Your Comprehensive, Short and Sharp Guide to the Mathematics of Data Science

Data Science in Practice: 46 (Studies in Big Data, 46)

Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)

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

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

Computing with Data: An Introduction to the Data Industry

Applied Data Analytics - Principles and Applications (River Publishers Series in Signal, Image and Speech Processing)

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)

The Data Science Handbook

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)

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

Applied Machine Learning Using mlr3 in R

Data Science and Its Applications

Springer Advanced Data Analytics in Health - Smart Innovation 93

Big Data Analytics Techniques for Market Intelligence

Big Data Analytics in Healthcare: 66 (Studies in Big Data, 66)

Handbook of Computational Social Science - Vol 1 & Vol 2: 1-2 (European Association of Methodology Series)

Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets

The Essentials of Data Science: Knowledge Discovery Using R (Chapman & Hall/CRC: The R Series)

Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)