Talks, lectures and presentations on Artificial Intelligence and Machine Learning:

JAX Outreach Events

• December 2019: JAX@DeepMind [Video]

UCL's MSc degree in Machine Learning - London, UK

• 2020/2021: Reinforcement Learning [Video] [Slides1, Slides2, Slides3]

• 2019/2020: Reinforcement Learning

• 2018/2019: Advanced Topics in Machine Learning [Video]

Mediterranean Machine Learning Summer School - Milan, Italy

• January 2021: Introduction to Reinforcement Learning [Video] [Slides]

CIFAR’s Deep Learning Reinforcement Learning Summer School - Edmonton, Canada

• August 2019: Deep Reinforcement Learning in Practice [Video]

Reinforcement Learning Summer School - Lille, France

• July 2019: Introduction to Deep Reinforcement Learning

Computer science seminars at Polimi - Milan, Italy

• March 2019: Deep Reinforcement Learning and Artificial Intelligence [Slides]

Artificial Intelligence & Games Summer School - Crete, Greece

• May 2018: Introduction to Deep Reinforcement Learning

UCL Tech Society - London, UK

• February 2016: Introduction to Machine Learning Series [Video]
  

Reading list of books, blogs, and other learning materials related to Artificial Intelligence:

Fundamentals

1. Rich Sutton, The Bitter Lesson (Blog)

2. Legg and Hutter, Universal Intelligence (Paper)

Deep Learning

1. Andrej Karpathy, A Recipe for Training Neural Networks, (Blog)

2. Tim Dettmers, A Full Hardware Guide to Deep Learning, (Blog)

Reinforcement Learning

1. Sutton and Barto, Reinforcement Learning: An Introduction, Second edition (Website)

2. Hado van Hasselt, Reinforcement Learning, Full course at UCL, 2016 (YouTube)

Mathematics

1. Gilbert Strang, Introduction to Linear Algebra (MitOpenCourseware)

2. E. T. Jaynes, Probability Theory: The Logic of Science (Book)