Enhance your Data Science skills with Probabilistic Programming
Incorporate domain knowledge, handle small but complex data and enhance your interpretability of your models.
Bayesian models are used in a range of verticals such as Pharmaceuticals, Travel, Insurance, Supply Chain and Finance.
This course provides over 4 hours of exclusive content.
Building interpretable models isn’t nice to have anymore it’s the reason people pay for models in the first place.
You are paid as an analyst or Data Scientist or Engineer to support decision making.
In other words, you get paid to:
- Build models that get adopted by an organisation or customers
- Provide highly insightful (and influential) advice on a business strategy or process
This is impossible without trust. In fact according to recent research on consumer attitudes to AI - one of the top concerns is trusting models.
If you don’t get buy-in or trust for your models, you're leaving money on the table.
Step-by-step Instructions for Building more Interpretable models and opening up new product building opportunities
Our mission is to give data scientists and engineers the training and tools that they need to stop worrying about things like not getting buy in, how to incorporate domain knowledge into models, and how to deal with complex small data problems.
As an Probabilistic Programming Primer student, you will receive:
Introductions to Bayesian Statistics, PyMC3, Theano and MCMC
Descriptive Overviews of Core Models and the Value of Probabilistic Programming
Walkthrough Videos That Show You Exactly How to Build and Debug these models
Documents and Notebooks Designed to Help you upskill and understand the technical underpinnings and how Probabilistic Programming relates to Deep Learning. These are based on hours of lectures and workshops internally at top startups and at major Data Science conferences.
Guidance and Support From a Large (and Growing!) Community of Like-minded Data Scientists
Lifetime Access to Our Private Slack Community of Over 150 Ambitious Data Scientists and some core contributors of PyMC3 ($130/year value)
Over 20 screencasts - Screencasts taking you through both the theory and the implementation of Probabilistic Programming.
Ready to level up your data science skills?
Let's get started!