£39.63

Springer Introduction to Artificial Intelligence: Eine Praxisorientierte Einführung (Undergraduate Topics in Computer Science)

Price data updated today

View at Amazon

Price History & Forecast

Last 91 days • 91 data points

Historical
Generating forecast...
£42.09 £29.80 £32.48 £35.16 £37.85 £40.53 £43.21 10 February 2026 04 March 2026 27 March 2026 18 April 2026 11 May 2026

Price Distribution

Price distribution over 91 days • 6 price levels

Days at Price
Current Price
2 days 3 days 13 days 18 days · current 28 days · current 27 days 0 7 14 21 28 £31 £32 £32 £39 £40 £42 Days at Price

Price Analysis

Most common price: £40 (28 days, 30.8%)

Price range: £31 - £42

Price levels: 6 different prices over 91 days

Description

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated third edition also includes new material on deep learning. Topics and features: · Presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website · Introduces convolutional neural networks as the currently most important type of deep learning networks with applications to image classification (NEW) · Contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons · Reports on developments in deep learning, including applications of neural networks to large language models as used in state-of-the-art chatbots as well as to the generation of music and art (NEW) · Includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks, and reinforcement learning · Covers various classical machine learning algorithms and introduces important general concepts such as cross validation, data normalization, performance metricsand data augmentation (NEW) · Includes a section on AI and society, discussing the implications of AI on topics such as employment and transportation Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material. Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 September 2024
Listed Since
03 November 2023

Barcode

No barcode data available