£182.17

Springer Learning to Learn

Name: Learning to Learn
Brand: Springer
Price: 182.17 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£182 today · cheaper than every other day in the last 3 months

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 20 days • 20 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 20 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £183 (19 days, 95.0%)

Price range: £182 - £183

Price levels: 2 different prices over 20 days

Description

Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. Learning to Learn is an exciting new research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described in Learning to Learn induce general functions from experience. However, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. To illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. Humans encounter a continual stream of learning tasks. They do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. As a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. A deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. In recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. Learning to Learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. Its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0792380479
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 31 October 1997
Listed Since: 15 December 2006

Barcode

No barcode data available

Springer Learning to Learn

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Learning to Learn

Machine Learning: A Guide to Current Research: 12 (The Springer International Series in Engineering and Computer Science, 12)

Machine Learning: A Guide to Current Research: 12 (The Springer International Series in Engineering and Computer Science, 12)

Routledge - The Science of Learning - Comprehensive Text

Learning to Learn: International perspectives from theory and practice

Innovations in Machine Learning: Theory and Applications: 194 (Studies in Fuzziness and Soft Computing, 194)

Learning in Humans and Machines: Towards an Interdisciplinary Learning Science

Learning to Learn: International perspectives from theory and practice

Meta-Learning: Theory, Algorithms and Applications

Trends in Learning Research

Optimal Learning (Wiley Series in Probability and Statistics)

Learning Patterns in Higher Education: Dimensions and research perspectives (New Perspectives on Learning and Instruction)

Embracing Diversity in the Learning Sciences: Proceedings of the Sixth International Conference of the Learning Sciences

Embracing Diversity in the Learning Sciences: Proceedings of the Sixth International Conference of the Learning Sciences

The Learning Leader & the 5 Perspectives of Change Leadership: Transforming Your Personal Development & Business Growth Strategies

An Introduction to Machine Learning

Learning in Information-Rich Environments: I-LEARN and the Construction of Knowledge in the 21st Century

The Hundred-Page Machine Learning Book

Learning Power in Practice: A Guide for Teachers

Learning Science: Theory, Research, and Practice (BUSINESS BOOKS)

Routledge - The Theory and Practice of Learning (2nd Edition)

An African Perspective on Development: Learning to Live and Living to Learn in the 21st Century

Machine Learning and Artificial Intelligence

Machine Learning and Systems Engineering: 68 (Lecture Notes in Electrical Engineering, 68)