We talked about:

Ben’s Background
Building solutions for customers
Why projects don’t make it to production
Why do people choose overcomplicated solutions?
The dangers of isolating data science from the business unit
The importance of being able to explain things
Maximizing chances of making into production
The IKEA effect
Risks of implementing novel algorithms
If it can be done simply – do that first
Don’t become the guinea pig for someone’s white paper
The importance of stat skills and coding skills
Structuring an agile team for ML work
Timeboxing research
Mentoring
Ben’s book
‘Uncool techniques’ at AI-First companies
Should managers learn data science?
Do data scientists need to specialize to be successful?


Links:

Ben's book: https://www.manning.com/books/machine-learning-engineering-in-action (get 35% off with code "ctwsummer21")


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