We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£37.27
Packt Publishing Packt Machine Learning with R 3rd Edition - Predictive Modeling
Price data last checked 9 day(s) ago - will refresh soon
We'll watch every seller, every day. One email when your price arrives.
This is the usual price. Wait for it to drop, or tell us your number.
£37 today · usual range £15–£44 · best ever £15
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
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
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 82 days • 82 data points (No recent data available)
Price Distribution
Price distribution over 82 days • 5 price ranges
Price Analysis
Most common range: £21-26 (22 days, 26.8%)
Price range: £15 - £44
Price levels: 5 price ranges over 82 days
Description
Key Features
Updated for R 3.6 and beyond to ensure you use the most current and effective programming methods.
Learn to build flexible and transparent machine learning models that provide clear insights from your data.
Solve real-world data problems using proven predictive modeling techniques and expert strategies.
Gain practical knowledge through a hands-on guide written by an experienced machine learning teacher.
Master the ability to transform complex datasets into actionable knowledge using the R programming language.
Product Specifications
- Brand
- Packt Publishing
- Format
- paperback
- ASIN
- 1788295862
- Category
- Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
- Domain
- Amazon UK
- Release Date
- 15 April 2019
- Listed Since
- 22 March 2019
Barcode
No barcode data available
Similar Products You Might Like
Applied Machine Learning Using mlr3 in R
Chapman and Hall/CRC
Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition
Packt Publishing
Machine Learning with R
Springer
Machine Learning: Theory and Practice
CRC Press
Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)
CRC Press
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Apress
Mathematics and Programming for Machine Learning with R: From the Ground Up
CRC Press
Mathematics and Programming for Machine Learning with R: From the Ground Up
CRC Press
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
Technics Publications
An Introduction to Machine Learning
Springer
Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
Apress
Machine Learning
Springer
Machine Learning
Springer
Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)
Wiley
A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python
Authorhouse
Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R
Wiley
Machine Learning Refined: Foundations, Algorithms, and Applications
Cambridge University Press
Practical Machine Learning for Data Analysis Using Python
Academic Press
Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining
Wiley
Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Wiley
Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
Packt Publishing
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Apress
Statistical Learning from a Regression Perspective (Springer Texts in Statistics)
Springer