January 17 to 19 2018, Santa Clara, USA.


Speaker "Anjan Goswami" Details

Name :
anjan goswami
Company :
Title :
Director Data Science
Topic :

Evaluation of Algorithms Using Online and Offline Controlled Experiments.

Abstract :

The online controlled experiments or A/B tests have become an essential scientific tool for decision making for the large web-based companies. However, conducting and evaluating A/B tests require the experimenters to have a deep understanding with respect to the biases present in the data, statistical nature of the metrics and the tests, and different aspects of the results. However, online tests are not always feasible. In those cases, an experimenter is required to evaluate the algorithms offline by conducting simulation studies using historical data. Online and offline evaluations require similar statistical understanding and are very related. In this talk, I will discuss these two paradigms of statistical evaluations of algorithms and provide some guidelines based on my experiences.

Profile :
Anjan currently heads the AI initiatives for community cloud at Salesforce. He has been working on projects related to recommender systems, sentiment analysis, question answering, feeds relevance etc. In past, he was the head of the search science and engineering of WalmartLabs and drove the data science at Elance (now Upwork). He is also a Ph.D. candidate at University of California, Davis and his research area is machine learning. He runs a consulting company and has in past advised e-commerce firms for improving their search and recommendation functionalities and startups for building AI driven products.

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