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Machine Learning workshops are included in the Data Academy subscription

In our increasingly tech-driven world, Machine Learning is literally driving the future. In this learning path, you’ll complete workshops on Machine Learning, Supervised Learning, Unsupervised Learning, and Applied AI and Natural Language Processing (NLP).

Once you complete these workshops you’ll be adept at understanding how modern machines learn and how to build optimized systems.

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This course covers scikit-learn’s syntax to solve simple data problem, which will be the starting point to develop machine learning solutions. 

The Machine Learning Workshop
The Supervised Learning Workshop
The Unsupervised Learning Workshop
The Reinforcement Learning Workshop
  1. Introduction to Reinforcement Learning
  2. Introduction to The Markov Decision Process and Dynamic Programming
  3. Practice Deep Learning with TF2
  4. Getting Started with OpenAI and TensorFlow for RL
  5. Introduction to Dynamic Programming
  6. Introduction to Monte Carlo Methods
  7. Introduction to Temporal-Difference Learning
  8. Solving the Multi Armed Bandit Problem
  9. Introduction to Deep Q Learning
  10. Playing Doom with a Deep Recurrent Q Network
  11. Introduction to Policy Based Methods for Reinforcement Learning
  12. Discussing Evolutionary Strategies for Reinforcement Learning
  13. Discussing Advancements for Reinforcement Learning
The Applied AI and Natural Language Processing Workshop