Philippe ROSSIGNOL

Implementing intelligent applications using regression, classification, nearest neighbor search, clustering, collaborative filtering, and deep learning... With these ML methods, intelligent applications can perform predictions, personalized recommendations and retrieval, learn non-linear features that improve the accuracy of the solutions, and much more.

• This course covers the major topics such as:
  Regression.
  Classification.
  Clustering & Retrieval.
  Recommender Systems & Dimensionality Reduction.
  ML Capstone: An Intelligent Application with Deep Learning.
  

• This course teaches how to:
  Become a machine learning expert, ready to develop and deploy new intelligent applications.