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
- Outline the Data Science workflow.
- Dilemmas and Complications while implementing Data driven solutions (explained using a real project).
Preview Slides
Session duration
About 50 min
Awesome Links
Why applied ML is hard?
First step towards an AI takeover
The Unreasonable Effectiveness of Recurrent Neural Networks