Probabilistic Programming is one of those tricky areas of Machine Learning and Applied Statistics.
In this course join Peadar Coyle a core-developer of PyMC3 as he takes you through
- What PyMC3 is for
- What MCMC is and why should I care
- How to know enough theano to not be scared by it
- How to diagnose things like model convergence and figure out if your model is good or not
- An introduction to Multi-level models or Bayesian Stats super sauce
- Contains 4 real world case studies including sports analytics, AB testing, policy analysis and predicting process anomalies
- Exclusive walkthroughs of other probabilistic programming tools like Arviz, Rainier and Pyro
In this course join Peadar Coyle a core-developer of PyMC3 as he takes you through
- What PyMC3 is for
- What MCMC is and why should I care
- How to know enough theano to not be scared by it
- How to diagnose things like model convergence and figure out if your model is good or not
- An introduction to Multi-level models or Bayesian Stats super sauce
- Contains 4 real world case studies including sports analytics, AB testing, policy analysis and predicting process anomalies
- Exclusive walkthroughs of other probabilistic programming tools like Arviz, Rainier and Pyro