We discuss deep reinforcement learning in an overview style. We draw a big picture, filled with details. We discuss six core elements, six important mechanisms, and twelve applications, focusing on…
This picture compares two different types of bootstrap (parametric and non-parametric) with their traditional counterpart. References Which Bootstrap When? Introduction to Empirical Processes and Semiparametric Inference Front Cover Michael R….
Paper: AI Ethics for Systemic Issues: A Structural Approach The debate on AI ethics largely focuses on technical improvements and stronger regulation to prevent accidents or misuse of AI, with…
Gradient Descent has a problem of getting stuck in Local Minima. The following alternatives are available. The following is a summary of answers suggested on CrossValided, originally posted here. Source…
This week I reminisce back to when I didn’t know anything about visualization, and all I wanted to do was solve analysis problems. Also, some fun updates on the way,…
For Knowable Magazine, Betsy Mason looks at the state of (not so good) data visualization in science and offers some direction for how it can improve: [S]cience is littered with…
In this interview from O’Reilly Foo Camp 2019, Eric Jonas, assistant professor at the University of Chicago, pierces the hype around artificial intelligence. Highlights from the interview include: Jonas argues…
alt.interoperability.adversarial (EFF) — If adversarial interoperability still enjoyed its alt.-era legal respectability, then Facebook alternatives like Diaspora could use their users’ logins and passwords to fetch the Facebook messages the…
This tutorial is based on the lecture notes for the courses ‘Machine Learning: Basic Principles’ and ‘Artificial Intelligence’, which I have taught during fall 2017 and spring 2018 at Aalto…