Visual Analytics for Data Scientists - Image 1

£47.73

Springer Visual Analytics for Data Scientists

Name: Visual Analytics for Data Scientists
Brand: Springer
Price: 47.73 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£48 today · usual range £0–£0 · best ever £44

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 313 days • 313 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 313 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £47 (92 days, 29.4%)

Price range: £45 - £50

Price levels: 5 different prices over 313 days

Description

This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail. The book begins by introducing the main ideas and concepts of visual analytics and explaining why it should be considered an essential part of data science methodology and practices. It then describes the general principles underlying the visual analytics approaches, including those on appropriate visual representation, the use of interactive techniques, and classes of computational methods. It continues with discussing how to use visualisations for getting aware of data properties that need to be taken into account and for detecting possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows,organised by various data types including multidimensional data, data with spatial and temporal components, data describing binary relationships, texts, images and video. For each data type, the specific properties and issues are explained, the relevant analysis tasks are discussed, and appropriate methods and procedures are introduced. The focus here is not on the micro-level details of how the methods work, but on how the methods can be used and how they can be applied to data. The limitations of the methods are also discussed and possible pitfalls are identified. The textbook is intended for students in data science and, more generally, anyone doing or planning to do practical data analysis. It includes numerous examples demonstrating how visual analytics techniques are used and how they can help analysts to understand the properties of data, gain insights into the subject reflected in the data, and build good models that can be trusted. Based on several years of teaching related courses at the City, University of London, the University of Bonn and TU Munich, as well as industry training at the Fraunhofer Institute IAIS and numerous summer schools, the main content is complemented by sample datasets and detailed, illustrated descriptions of exercises to practice applying visual analytics methods and workflows.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 3030561488
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 31 August 2021
Listed Since: 04 August 2021

Barcode

No barcode data available

Springer Visual Analytics for Data Scientists

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Interactive Visual Data Analysis (AK Peters Visualization Series)

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

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery: 1014 (Studies in Computational Intelligence, 1014)

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery: 1014 (Studies in Computational Intelligence, 1014)

Analytics and Knowledge Management (Data Analytics Applications)

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

Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery: Current Status and Analysis: 1126 (Studies in Computational Intelligence, 1126)

Expanding the Frontiers of Visual Analytics and Visualization

Springer Advanced Data Analytics in Health - Smart Innovation 93

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

Visual Analytics for Management: Translational Science and Applications in Practice

Springer Data Visualization: The State of the Art 713 Book

Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications

Data Analytics for Business: AI-ML-PBI-SQL-R

It's All Analytics - Part II: Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization

Big Data and Visual Analytics

Introduction to Information Visualization: Transforming Data into Meaningful Information

Data Analytics: Effective Methods for Presenting Results (Data Analytics Applications)

Data Visualisation: A Handbook for Data Driven Design

It's All Analytics, Part III: The Applications of AI, Analytics, and Data Science

Hands-on Data Analytics for Business

Using Strategy Analytics for Business Value Creation and Competitive Advantage

Big Data Analytics Techniques for Market Intelligence

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)