£75.52

CRC Press A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)

Price data last checked 182 day(s) ago - refreshing...

View at Amazon

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.

£76 today · usual range £0–£0 · best ever £64

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 549 days • 549 data points (No recent data available)

Historical
Generating forecast...
£76.62 £62.28 £65.41 £68.54 £71.66 £74.79 £77.92 09 June 2024 24 October 2024 10 March 2025 25 July 2025 09 December 2025

Price Distribution

Price distribution over 549 days • 5 price ranges

Days at Price
Current Price
23 days 9 days 241 days 20 days 256 days · current 0 64 128 192 256 £64-66 £66-69 £69-71 £71-74 £74-77 Days at Price

Price Analysis

Most common range: £74-77 (256 days, 46.6%)

Price range: £64 - £77

Price levels: 5 price ranges over 549 days

Description

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 February 2019
Listed Since
05 October 2018

Barcode

No barcode data available

Similar Products You Might Like

A Mathematical Introduction to Data Science
96% match

A Mathematical Introduction to Data Science

Springer

£38.70 09 Feb 2026
Mathematics for Machine Learning
96% match

Mathematics for Machine Learning

Cambridge University Press

£74.99 22 Jan 2026
Data Analytics: A Small Data Approach (Chapman & Hall/CRC Data Science Series)
96% match

Data Analytics: A Small Data Approach (Chapman & Hall/CRC Data Science Series)

CRC Press

£75.52 09 Jan 2026
Linear Algebra and Optimization for Machine Learning: A Textbook
96% match

Linear Algebra and Optimization for Machine Learning: A Textbook

£49.00 24 Jan 2026
Linear Algebra and Optimization for Machine Learning: A Textbook
95% match

Linear Algebra and Optimization for Machine Learning: A Textbook

Springer

£37.39 10 Apr 2026
Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
95% match

Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

CRC Press

£94.90 10 Mar 2026
Machine Learning – A Probabilistic Perspective
95% match

Machine Learning – A Probabilistic Perspective

MIT Press

£78.86 24 Jan 2026
Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing)
95% match

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

£85.84 13 Dec 2025
Machine Learning: Theory and Practice
95% match

Machine Learning: Theory and Practice

CRC Press

£110.92 05 Feb 2026
Statistical Foundations of Data Science (Chapman & Hall/CRC Data Science Series)
95% match

Statistical Foundations of Data Science (Chapman & Hall/CRC Data Science Series)

CRC Press

£97.00 08 Jan 2026
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
95% match

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Packt Publishing

£41.99 19 Feb 2026
Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing)
95% match

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

£64.49 07 Jan 2026
Understanding Machine Learning: From Theory to Algorithms
95% match

Understanding Machine Learning: From Theory to Algorithms

Cambridge University Press

£45.53 12 Dec 2025
Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)
95% match

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

£57.01 08 Jan 2026
Non-convex Optimization for Machine Learning (Foundations and Trends in Machine Learning)
95% match

Non-convex Optimization for Machine Learning (Foundations and Trends in Machine Learning)

Now Publishers

Out of Stock 16 Feb 2026
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
95% match

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Springer

£66.09 12 Jan 2026
Machine Learning: A Constraint-Based Approach
95% match

Machine Learning: A Constraint-Based Approach

Morgan Kaufmann

£70.39 11 Jan 2026
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
95% match

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Springer

£30.66 14 Jan 2026
Applied Machine Learning Using mlr3 in R
95% match

Applied Machine Learning Using mlr3 in R

Chapman and Hall/CRC

£62.55 19 Feb 2026
Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch
95% match

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

Apress

£41.44 07 Mar 2026
Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)
95% match

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

Springer

£74.42 19 Feb 2026
Probability and Statistics for Computer Science
95% match

Probability and Statistics for Computer Science

Springer

£42.87 07 Mar 2026
Mathematical Foundations of Data Science (Texts in Computer Science)
95% match

Mathematical Foundations of Data Science (Texts in Computer Science)

£60.10 12 Jan 2026
Learning with Submodular Functions: A Convex Optimization Perspective (Foundations and Trends® in Machine Learning)
95% match

Learning with Submodular Functions: A Convex Optimization Perspective (Foundations and Trends® in Machine Learning)

now publishers Inc

Out of Stock 28 Feb 2026