Coursera's Machine Learning course by Stanford University provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include:
- Supervised learning
- parametric/non-parametric algorithms
- support vector machines with kernels
- neural networks
- Unsupervised learning
- clustering
- dimensionality reduction
- recommender systems
- deep learning
- Best practices in machine learning
- bias/variance theory
- innovation process in machine learning and AI
The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Syllabus can be found at https://www.coursera.org/learn/machine-learning