Diary of a Data Scientist

Target Audience

Data Scientists and Data Enthusiasts with theoretical and limited practical experience.

Abstract

While I’m sure you have solved complex Data Science and ML projects, whether in your academical courses, Kaggle or other online resources, I bet no one ever talked to you about the workflow. How to initiate a data science project? How to deliver your model as a product? What to do when you encounter an unfamiliar problem?

This talk goal is to bridge the gap between the academy/army and the industry.

Agenda

Preview Slides

Session duration

About 50 min

Why applied ML is hard?
First step towards an AI takeover
The Unreasonable Effectiveness of Recurrent Neural Networks