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 ( @kcayyagari ), Senior Customer Engineer at Google Cloud.
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:
Watch the full recording below:
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