Supervised and Unsupervised Learning for Data Science - Image 1

£72.47

Springer Supervised and Unsupervised Learning for Data Science

Name: Supervised and Unsupervised Learning for Data Science
Brand: Springer
Price: 72.47 GBP
Availability: InStock

AI & Machine Learning

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

£72 today · usual range £0–£0 · best ever £50

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 636 days • 636 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 636 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £70-75 (520 days, 81.8%)

Price range: £50 - £75

Price levels: 5 price ranges over 636 days

Description

This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students can use the volume as an important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018). Includes new advances in clustering and classification using semi-supervised and unsupervised learning; Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning; Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030224740
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 September 2019
Listed Since: 09 May 2019

Barcode

No barcode data available

Springer Supervised and Unsupervised Learning for Data Science

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

Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Statistical Learning and Data Science (Computer Science and Data Analysis)

Statistical Learning and Data Science (Chapman & Hall/CRC Computer Science & Data Analysis)

Supervised and Unsupervised Learning for Data Science

Machine Learning Methods

Grokking Machine Learning

Lecture Notes In Data Mining

Data Without Labels: Practical Unsupervised Machine Learning

Data Analysis, Classification, and Related Methods (Studies in Classification, Data Analysis, and Knowledge Organization)

Advances in Machine Learning for Big Data Analysis: 218 (Intelligent Systems Reference Library, 218)

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

Machine Learning and Knowledge Discovery in Databases, Part II: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, ... (Lecture Notes in Computer Science, 6912)

Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures

Fundamentals of Data Science: Theory and Practice

Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing)

Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019): 896 (Studies in Computational Intelligence, 896)

Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing)

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, ... (Lecture Notes in Computer Science, 9851)

Advances in Data Clustering: Theory and Applications

Hands–On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, ... (Lecture Notes in Computer Science, 8643)

Machine Learning Foundations: Volume 1: Supervised Learning

Nature-Inspired Computation in Data Mining and Machine Learning: 855 (Studies in Computational Intelligence, 855)