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KDnuggets Home » News :: 2013 :: Jun :: Publications :: LIONBook: free online book on Machine Learning and Intelligent Optimization ( 13:n15 )

LIONBook: free online book on Machine Learning and Intelligent Optimization


This book, from the developers of LionSolver, will be freely available on the web, chapter by chapter. Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems.



The developers of LionSolver software, Roberto Battiti and Mauro Brunato, have an ambitious project:

LION bookLIONbook, a new book , dedicated to "LION" combination of Machine Learning and Intelligent Optimization.

This book will available for free from the web, chapter after chapter.

Excerpt from first chapter:

Learning and Intelligent Optimization (LION)is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions. More power is directly in the hands of decision makers in a self-service manner, without resorting to intermediate layers of data scientists.

LION is a complex array of mechanisms, like the engine in an automobile, but the user (driver) does not need to know the inner-workings of the engine in order to realize tremendous benefits. LION's adoption will create a prairie fire of innovation which will reach most businesses in the next decades. Businesses, like plants in wildfire-prone ecosystems, will survive and prosper by adapting and embracing LION techniques, or they risk being transformed from giant trees to ashes by the spreading competition


Tentative Contents of LIONbook

1 Introduction
2 Supervised learning: nearest neighbors
3 Learning requires a method
4 Supervised learning: linear models
5 Supervised learning: advanced models
6 Selecting features
7 Polynomial fits
8 Top-down clustering: K-means
9 Bottom-up (agglomerative) clustering
10 Unsupervised learning and self-organizing maps
11 Visualization by linear transformations (projections)
12 Visualizing graphs and networks by nonlinear maps
13 Semi-supervised learning
14 Text and web mining
15 Collaborative filtering and recommendation
16 Optimization: the source of power
17 Reactive Search Optimization (RSO)
18 Continuous and Cooperative Reactive Search Optimization (CoRSO)
19 Multi-Objective Reactive Search Optimization (MORSO)

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