In May, we took the decision to build a long overdue web page of everything we are working on. Finally, we got several part of such works at the web page as

  • Introduction to Machine Learning,
  • Deep Learning,
  • Analysis of algorithms,
  • Linear algebra,
  • Articles,
  • Past Master and PhD students,
  • Personal Projects,
  • etc.

Nevertheless, we need to complete many of them. Additionally, we noticed that several subjects needed to be addressed as

  • Subjects on Advanced ML. For example:
    • Bayesian Learning in Non-parametric Models
    • Variational Methods
    • etc
  • New subjects in the Probability for AI… Ahh!!! For example, the new holy grail of not using totally independent samples in MCMC,
  • etc

But I proposed myself new challenges:

  • A technical paper of avoiding the BPTT,
  • Another about the Choquet Taylor approximation to avoid exponential complexities in information fusion,
  • The cases of application of ML in Business through statistical risk analysis framework.

It is always a lot of work, but this is the main reason why we humans we are here… to improve… to dream…