- Paperback: 480 pages
- Publisher: Woodhead Publishing (May 14, 2007)
- Language: English
- ISBN-10: 1904275214
- ISBN-13: 978-1904275213
- Product Dimensions: 6.7 x 1 x 9.2 inches
- Shipping Weight: 1.7 pounds (View shipping rates and policies)
- Average Customer Review: 1 customer review
- Amazon Best Sellers Rank: #5,206,792 in Books (See Top 100 in Books)
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Machine Learning and Data Mining
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"Enlightenment Now: The Case for Reason, Science, Humanism, and Progress"
Is the world really falling apart? Is the ideal of progress obsolete? Cognitive scientist and public intellectual Steven Pinker urges us to step back from the gory headlines and prophecies of doom, and instead, follow the data: In seventy-five jaw-dropping graphs, Pinker shows that life, health, prosperity, safety, peace, knowledge, and happiness are on the rise. Learn more
Readers are treated to a comprehensive look at the principles. …a fine overview of machine learning methods. …Recommended., Choice Magazine
About the Author
Igor Kononenko studied computer science at the University of Ljubliana, Slovenia, receiving his BSc in 1982, MSc in 1985 and PhD in 1990. He is now professor at the Faculty of Computer and Information Science there, teaching courses in Programming Languages, Algorithms and Data Structures; Introduction to Algorithms and Data Structures; Knowledge Engineering, Machine Learning and Knowledge Discovery in Databases. He is the head of the Laboratory for Cognitive Modelling and a member of the Artificial Intelligence Department at the same faculty. His research interests include artificial intelligence, machine learning, neural networks and cognitive modelling. He is the (co) author of 170 scientific papers in these fields and 10 textbooks. Professor Kononenko is a member of the editorial board of Applied Intelligence and Informatica journals and was also twice chair of the programme committee of the International Cognitive Conference in Ljubliana.
Matjaz Kukar studied computer science at the University of Ljubliana, Slovenia, receiving his BSc in 1993, MSc in 1996 and PhD in 2001. He is now the assistant professor at the Faculty of Computer and Information Science there and is also a member of the Artificial Intelligence Department at the same faculty. His research interests include knowledge discovery in databases, machine learning, artificial intelligence and statistics. Professor Kukar is the (co) author of over 50 scientific papers in these fields.
Top customer reviews
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It's a good book if you expect to get an overview of Machine Learning. But pretty disappointing if you want to implement those algorithms, due to the usual lack of examples. Another thing to highlight is that some explanations are too long (and there's no need), meanwhile others are too shallow.