Free shipping on orders over $99
Machine Learning for Data Science Handbook

Machine Learning for Data Science Handbook

Data Mining and Knowledge Discovery Handbook

by Lior RokachOded Maimom and Erez Shmueli
Hardback
Publication Date: 18/08/2023

Share This Book:

  $409.00
or 4 easy payments of $102.25 with
afterpay
This item qualifies your order for FREE DELIVERY

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

ISBN:
9783031246272
9783031246272
Category:
Information retrieval
Format:
Hardback
Publication Date:
18-08-2023
Language:
English
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Edition:
3rd Edition
Dimensions (mm):
235x155mm
Weight:
1.65kg

This title is in stock with our Australian supplier and should arrive at our Sydney warehouse within 2 - 3 weeks of you placing an order.

Once received into our warehouse we will despatch it to you with a Shipping Notification which includes online tracking.

Please check the estimated delivery times below for your region, for after your order is despatched from our warehouse:

ACT Metro: 2 working days
NSW Metro: 2 working days
NSW Rural: 2-3 working days
NSW Remote: 2-5 working days
NT Metro: 3-6 working days
NT Remote: 4-10 working days
QLD Metro: 2-4 working days
QLD Rural: 2-5 working days
QLD Remote: 2-7 working days
SA Metro: 2-5 working days
SA Rural: 3-6 working days
SA Remote: 3-7 working days
TAS Metro: 3-6 working days
TAS Rural: 3-6 working days
VIC Metro: 2-3 working days
VIC Rural: 2-4 working days
VIC Remote: 2-5 working days
WA Metro: 3-6 working days
WA Rural: 4-8 working days
WA Remote: 4-12 working days

Reviews

Be the first to review Machine Learning for Data Science Handbook.