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to self-publish this book to greatly lower costs (about 8 dollars for
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are delighted if you value our work as you value a pepperoni pizza by
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The opinions of our readers
give additional hints about the book style.
A wonderfully warm introduction to Machine Learning,
Informative and well written,
Couldn't stop reading,
Smooth read, covers the essential ideas, will help even experienced practitioners avoid mistakes.
. After reading the awesome LIONbook, I'd like to play around with LIONoso and apply the
methodologies in some of my personal research topics.
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The LION way is currently being translated into Chinese, Spanish and Italian
(estimated completion time: March 2015).
The messages we receive give us a boost to wake up on cloudy days, and we try to answer
in person (but be patient, some days we are very loaded).
Some excerpts from our emails:
"what an amazing book",
"thank you very much for your sharing!",
"Very good book! Well done man!",
"Thanks for this nice book!!!It's very interesting and useful!",
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"friends told me this book is awesome!".
Please cite our book as:
Roberto Battiti, Mauro Brunato
The LION way. Machine Learning plus Intelligent Optimization.
LIONlab, University of Trento, Italy, 2014.
[ BibTeX ]
Chapters 1 and 2
Introduction and nearest neighbors
Learning requires a method
Mastering generalized linear least-squares
Rules, decision trees, and forests
Ranking and selecting features
Specific nonlinear models
Neural networks, shallow and deep
Statistical Learning Theory and Support Vector Machines (SVM)
Democracy in Machine Learning
Top-down clustering: K-means
Bottom-up (agglomerative) clustering
Dimensionality reduction by linear transformations (projections)
Visualizing graphs and networks by nonlinear maps
Automated improvements by local steps
Local Search and Reactive Search Optimization (RSO)
Continuous and Cooperative Reactive Search Optimization (CoRSO)
Multi-Objective Reactive Search Optimization (MORSO)
Text and web mining
Collaborative filtering and recommendation