Fundamentals of Machine Learning - Image 1

£40.89

Oxford University Press Fundamentals of Machine Learning

Name: Fundamentals of Machine Learning
Brand: Oxford University Press
Price: 40.89 GBP
Availability: InStock

AI & Machine Learning

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

£41 today · usual range £0–£0 · best ever £22

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 622 days • 622 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 622 days • 7 price levels

Days at Price

Current Price

Price Analysis

Most common price: £22 (283 days, 45.5%)

Price range: £22 - £44

Price levels: 7 different prices over 622 days

Description

Interest in machine learning is exploding worldwide, both in research and for industrial applications. Machine learning is fast becoming a fundamental part of everyday life. This book is a brief introduction to this area - exploring its importance in a range of many disciplines, from science to engineering, and even its broader impact on our society. The book is written in a style that strikes a balance between brevity of explanation, rigorous mathematical argument, and outlines principle ideas. At the same time, it provides a comprehensive overview of a variety of methods and their application within this field. This includes an introduction to Bayesian approaches to modeling, as well as deep learning. Writing small programs to apply machine learning techniques is made easy by high level programming systems, and this book shows examples in Python with the machine learning libraries 'sklearn' and 'Keras'. The first four chapters concentrate on the practical side of applying machine learning techniques. The following four chapters discuss more fundamental concepts that includes their formulation in a probabilistic context. This is followed by two more chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society. Fundamentals of Machine Learning provides a brief and accessible introduction to this rapidly growing field, one that will appeal to students and researchers across computer science and computational neuroscience, as well as the broader cognitive sciences.

Product Specifications

Brand: Oxford University Press
Format: paperback
ASIN: 0198828047
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 28 January 2020
Listed Since: 27 March 2019

Barcode

No barcode data available

Oxford University Press Fundamentals of Machine Learning

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

Machine Learning

Machine Learning

Understanding Machine Learning: From Theory to Algorithms

An Introduction to Machine Learning

Introduction to Machine Learning with Python

Machine Learning Refined: Foundations, Algorithms, and Applications

Machine Learning: Theory and Practice

A Hands-On Introduction to Machine Learning

Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)

The Hundred-Page Machine Learning Book

Introduction to Machine Learning: From Math to Code

Mathematical Analysis of Machine Learning Algorithms

Machine Learning Algorithms in Depth

Model-Based Machine Learning

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

Fundamentals of Machine Learning and Deep Learning in Medicine

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

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

Machine Learning for Societal Improvement, Modernization, and Progress (Advances in Human and Social Aspects of Technology)

Machine Learning – A Probabilistic Perspective

Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning for Science and Engineering: Volume I: Fundamentals (Course Notes)

An Elementary Introduction to Statistical Learning Theory (Wiley Series in Probability and Statistics)

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, ... (Lecture Notes in Computer Science, 12461)