Machine Learning Engineering for the Real World- Databricks

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“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”

 

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