Machine learning
What is machine learning? Tom Mitchell‘s definition is
A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.
Approaches
Foundations
Domains of application
- Machine learning for healthcare
- Machine learning for physical sciences
- Machine learning for social scientists
Approaches
- Automated machine learning
- Cluster analysis
- Dimensionality reduction
- Image completion
- One shot learning
- Recommender system
- Training dataset
- Interpretation of machine learning models
Methods
- Artificial neural network
- Boosting (machine learning)
- Decision tree
- Deep learning
- EM algorithm
- Naive Bayes classifier
- Cross validation and Stability selection
Books
- The elements of statistical learning
- An Introduction to Statistical Learning with applications in R - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
- free machine learning books
- Machine Learning by Tom M
- Bayesian Reasoning and Machine Learning
- Machine Learning: A Probabilistic Perspective by Kevin Murphy
- a reading list by Michael I
Courses
- Machine Learning University - a curated list of course resources.
- Andrew Ng’s artificial intelligence | machine learning - open lecture.
- Tom Mitchell
- Practical Machine Learning by Michael Jordan (computer scientist)
- Machine Learning Summer School 2011 - Bordeaux
- Machine Learning Fall 2009 by Carlos Guestrin
- http://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA - Machine Learning by mathematical monk
- CALTECH: learning from data
- Machine Learning and Probabilistic Graphical Models Course by Sargur Srihari
- Kaggle Python Tutorial on Machine Learning
Tools and libraries
- Python
- scikit learn
- http://mldemos.epfl.ch/ - MLDemos
- http://harthur.github.com/brain/ - Javascript supervised machine learning library
- GraphLab
- wiki - vowpal wabbit, a fast online learning algorithm
- http://www.cs.waikato.ac.nz/ml/weka/index.html - Weka
- http://blog.mashape.com/post/48074869493/list-of-machine-learning-apis
Tutorials and Articles
- How to Write a Spelling Corrector by Peter Norvig
- The Ideal Large Scale Learning Class
- Self-Study Guide to Machine Learning
- Machine learning in 10 pictures
- kaggle:Learning from the best
- Machine Learning Done Wrong
- Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur
- Machine Learning is Fun!
- What I learned from Deep Learning Summer School 2016
- Model evaluation, model selection, and algorithm selection in machine learning - Part I
- Google developers: Machine Learning Recipes
- Rules of Machine Learning: Best Practices for ML Engineering
Websites and blogs
Talks and lectures
- http://blog.videolectures.net/100-most-popular-machine-learning-talks-at-videolectures-net/
- mathematical monk: Machine learning
- Advice for applying Machine Learning by Andrew Ng