Machine Learning is an important component of every major tech product today. However, not everything beyond excel sheets is big data, and not all big data problems require ML. The most important function of ML should be to supplement the product.
Decision makers in the ML and big data spaces should know how an ML mindset differs from a traditional software development mindset. Hear from startup mentor, program manager, and trained architect KC Ayyagari (
The recording from this session includes the topics listed below, plus plenty of conversation infused in the presentation from open Q&A from community members present at the live event:
- (0:00) Welcome and introduction from C2C and the Google Startups Team
- (3:30) Agenda overview
- (5:00) What is Machine Learning?
- (16:55) How ML is different from normal software development and how to represent physical problems in data
- (42:30) The do's, don'ts, and focus areas in the ML mindset for managers
Watch the full recording below:
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