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Book details
Format: epub
File Size: 3.35 MB
Print Length: 184 pages
Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
Publisher: Chapman and Hall/CRC; 1 edition (10 February 2020)
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B084NMLZPX

There are many myths and mistakes which make the topics of artificial intelligence complex and confusing. But the truth is that the foundations of AI are not rocket science. People do not need a PhD to understand how a basic neural network works. In fact, one does not even need computer skills to learn this.

Cunning Machines: Your Pocket Guide to the World of Artificial Intelligence explains the main concepts: what does AI really mean, where do we find it, how do scientists try to evaluate it, what are its main limitations and what future we can expect with it? It also describes the most popular AI techniques in an easy-to-digest form:

Artificial neural networks
Genetic algorithms
The Monte Carlo method
Natural language processing
Ontologies and their applications

This book is for everyone. Still, it may be especially valuable to teachers who wish to enrich their classes with some interesting and popular topics, sales managers and business analysts who wish to better understand the IT world, and finally politicians and journalists who take part in debates on the latest technologies.

About the Author

Jędrzej Osiński, PhD, earned his PhD in Artificial Intelligence and has a strong research background in computer science. He has published 14 scientific papers to date as well being the co-author of two books. During his academic career he was working in government grants and lecturing about software testing and products, AI applications and IT business start-ups. He has participated in a number of different conferences as a speaker, papers reviewer and organizer. His scientific interests are mostly focused on spatio-temporal modelling and reasoning, knowledge representation, natural language processing, qualitative calculus and fuzzy sets.

Dr Osiński has over ten years of experience working in IT companies of different sizes, domains (web, telecom, banking, e-learning), organization structures and locations (Poland, Ireland, UK). Currently he combines the roles of certified senior QA engineer, line manager and business analyst to support software projects for some of world’s best-known brands.

He is also involved in various initiatives promoting AI, science and modern technologies e.g. blog posts, science days, invited talks, as well as radio and TV appearances.