Machine Learning Product Manual
Organise Your
Machine Learning
- For product managers and data science leaders
- Create more value with your data products
- Processes you can apply through the whole lifecycle of product creation
What You'll Find Inside
Proven methods to build machine learning products
Discover Value
- How to engage with stakeholders in your business about data
- Understand how to frame business problems in terms of machine learning.
Launch Fast
- Why do you have to build a Minimum Viable Machine Learning Product?
- How to build a cross-functional product team and manage smooth communication
Improve Iteratively
- Decide on your next features based on real user feedback
- Detailed instructions and processes to update and deploy your models regularly
Laszlo Sragner
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.
Chris Kelly
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.
© 2020 Hypergolic