Machine Learning Product Manual
Machine Learning Teams
For product managers and data science leaders
Create value with your data products
Processes you can apply through the whole lifecycle of product creation
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What You'll Find Inside
Proven methods to build machine learning products
How to engage with stakeholders in your business about data?
Understand how to frame business problems in terms of machine learning.
Build a Minimum Viable Machine Learning Product.
How to build a cross-functional product team and manage smooth communication?
Decide on your next features based on real user feedback.
Detailed instructions and processes to update and deploy your models regularly.
Founder @ Hypergolic
Laszlo has 15 years of experience with Machine Learning products working in finance, mobile gaming and lately at a London FinTech company providing market intelligence to Investment Banks.
Partner @ Hypergolic
Chris has 10 years of experience in FinTech product management, building products for the world's largest banks at Broadridge and recently as Head of Product at Arkera.
Thank You and Happy Reading!
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