Here’s a community-driven and educational guidance with current focus on machine learning and probabilistic AI – Metacademy. It will make a great assistance for those with strong interest and enthusiasm in machine learning, just like me. 🙂 It draws an intuitive map of sequential steps towards the concept you queried about. You’ll see once you give it a try.
Machine Learning Subreddit with News, Research Papers, Videos, Lectures, Softwares and Discussions on:
- Machine Learning
- Data Mining
- Information Retrieval
- Predictive Statistics
- Learning Theory
- Search Engines
- Pattern Recognition
(quoted from Machine Learning Subreddit page)
Machine Learning and Probabilistic Graphical Models Course provided by Department of Computer Science and Engineering, University at Buffalo.
A bunch of educational video segments on machine learning – Machine Learning Video Library.
Aggregation, Bayesian Learning, Bias-Variance Tradeoff, Bin Model, Data Snooping, Error Measures, Gradient Descent, Learning Curves, Learning Diagram, Learning Paradigms, Linear Classification, Linear Regression, Logistic Regression, Netflix Competition, Neural Networks, Nonlinear Transformation, Occam’s Razor, Overfitting, Radial Basis Functions, Regularization, Sampling Bias, Support Vector Machines, Validation, VC Dimension