Advanced Machine Learning

This specialization gives an introduction to deep learning, reinforcement learning and Bayesian methods.  Upon completion of 3 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.

In addition to lectures and theoretical assignments, the specialization also includes practical assignments in Python and projects, which will allow the student to apply the knowledge to solve problems close to data analysis. Some programming assignments are based on real data and give an idea about simple solutions of applied problems.

• How to Win a Data Science Competition: Learn from Top Kagglers
• Bayesian Methods for Machine Learning
• Addressing Large Hadron Collider Challenges by Machine Learning

• Learn how Bayesian neural networks work
• Learn how to use modern deep neural networks to solve various machine learning problems with complex input and develop new algorithms for new problems.
• You will be able to implement the best practices of data mining, preprocessing and feature engineering