Machine learning

The course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:

  • Supervised learning (parametric/non-parametric algorithms, support vector machines, 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: 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.

https://www.coursera.org/learn/machine-learning

Certificate

https://www.coursera.org/account/accomplishments/verify/BWUVEDLH7RMH

Leave a comment

Your email address will not be published. Required fields are marked *