The LIONcommunity page contains mixed materials about machine learning and optimization
(for prescriptive analytics)
made available by our lab and by a growing community of active researchers and users,
in particular slides related to the
LIONbook,
usage cases in selected application areas, tutorial movies, etc.
Feel free to contact us
if you have interesting material which you would like to make available.
Tutorials are suggested for beginners in machine learning.
LIONway tutorial #1 - Lazy Machine Learning: Nearest Neighbors.
LIONway tutorial #2: Learning requires a method.
The selection of a subset of chapters corresponds to topics appropriate for an introductory course in LION (approximately 50 hours including exercises). The original Powerpoint version is also included so that you can adapt text and slides to your needs and personalize them.
LIONway-slides-chapter2.pdf, LIONway-slides-chapter3.pdf, LIONway-slides-chapter4.pdf, LIONway-slides-chapter6.pdf, LIONway-slides-chapter7.pdf, LIONway-slides-chapter8.pdf, LIONway-slides-chapter9.pdf, LIONway-slides-chapter12.pdf, LIONway-slides-chapter13.pdf, LIONway-slides-chapter15.pdf, LIONway-slides-chapter18.pdf, LIONway-slides-chapter19.pdf,
LIONway-slides-chapter2.pptx, LIONway-slides-chapter3.pptx, LIONway-slides-chapter4.pptx, LIONway-slides-chapter6.pptx, LIONway-slides-chapter7.pptx, LIONway-slides-chapter8.pptx, LIONway-slides-chapter9.pptx, LIONway-slides-chapter12.pptx, LIONway-slides-chapter13.pptx, LIONway-slides-chapter15.pptx, LIONway-slides-chapter18.pptx, LIONway-slides-chapter19.pptx,
Slides for more advanced chapters appropriate for Master- or PhD-level courses are listed here.
Additional chapters will be added in the next months.
LIONway-slides-chapter22-part1.pdf,
LIONway-slides-chapter22-part1.pptx,
The following are meant to accompany the book with concrete and practical examples.
Learning with method (training and generalization).
Handwritten digit recognition with linear regression.
Digit recognition with CART trees and democratic forests.
The following are cases of tutorial nature.
Logistic regression for predicting heart disease.
Marketing automation for banks via SVM and cross-validation.
The following cases were developed mostly by users in marketing, e-commerce, finance, social networks.
Evaluating bank customers asking for credit.
Network analytics: "focus and context" visualization, social networks.
Collaborative recommendation: movies and viewers.
Web mining and the network of USA politicians.
Asset portfolio selection in finance.
Predictive analytics: neural networks.
The French invasion of Russia.
Reactive Search Optimization: identifying optimal solutions.
Learning and optimizing your business: the LION way.
The following cases were developed mostly by engineers in different sectors.
Optimization of electronic circuits.
Welded beam design: how to tradeoff multiple objectives.
Fluid dynamics and parallel computing.
Wireless access point placement.
Mechanical engineering: designing roof trusses and improving vehicle safety.
The following cases were developed mostly by external groups in our community (thank you to the various contributors!).
The danger of overfitting.
Construction workers
Sweeping through innovation and economy in the world
Houses and neighborhoods
Cities around the world
Select your perfect car!
Sociology to study violence.
Viral infections spreading in a network.