Machine Learning Engineering for the Real World
A step-by-step guide to take your ML projects from planning to production
About 80% of machine learning projects die before production. Read this eBook to learn how to avoid the common pitfalls and scale your projects successfully.
More than 80% of machine learning (ML) projects are scrapped before production. Learn how to overcome the many pitfalls of the ML lifecycle in this new eBook. Based on the soon-to-be-published “Machine Learning Engineering in Action” book from Manning Publications, it provides a step-by-step guide to help you plan, develop and deploy your ML projects at scale.
Download this eBook to learn:
- How to take ML projects from planning to production
- Why ML projects fail and how to avoid common mistakes
- How to productionize and make ML work at scale
- How technologies and processes interact in a large ML initiative
