pgmpy99
Estimated Days to Fulfill: 7
Only 10 more slots available at this time
This is an estimate on number of days it will take to deliver.
To prevent overwhelming of the provider we limit the number of active bookings per available capacity.
Overview
Bayesian Networks are a great choice for generative modeling and can also give explainable model predictions using the causal inference framework. This consultation will be provided by Ankur Ankan, the author of pgmpy.
Scope
This consultation aims to help you in answering questions like:
- Advantages and disadvantages of using a Bayesian Network solution for your problem statement,
- Best ways to productionize a Bayesian Network based solution
- Computational feasibility and scaling up an existing solution, etc.
Under this solution, we would sit together on a one hour call to discuss your problem statement and try to figure out the best possible solutions for it. Also, open to the possibility of a follow-up longer-term engagement if needed.
Upvote Service