Activity

In this session we will enumerate and describe and discuss deep learning frameworks, platforms and libraries available now. A panel of experts will briefly describe leading frameworks. Then we will have an open discussion of their advantages and disadvantages and relationships to each other.

Newcomers may be unclear about options and which one to…[Read more]

This is a suggested panel, that requires a moderator and 1 – 5 panelists, who have been data science hiring managers. If interested, respond with discussion posts in this thread or contact me (i.e. on LinkedIn).

Possible questions may include:
How to find and RETAIN good DS / Big Data Engineering talent?
Types of interview questions
How to…[Read more]

DESCRIPTION:
I will discuss the statistical methodologies and best practices of conducting an experiment. The topics I will cover- standard A/B testing, Bayesian A/B testing, Multi Arm Bandit, and Outlier detection.
I will also discuss how Uber has created experimentation platform to source thousands of statistical experiments that happen on a…[Read more]

Model description, both at the overall level on what variables are most important to the forecast, and reasons for an individual record forecast can be a competitive advantage in a business or consulting situation. Design objectives for this model description include 1) describe the model in terms of variables understandable to the target…[Read more]

Model description, both at the overall level on what variables are most important to the forecast, and reasons for an individual record forecast can be a competitive advantage in a business or consulting situation. Design objectives for this model description include 1) describe the model in terms of variables understandable to the target…[Read more]