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Introduction to Machine Learning in Production

This course is part of Machine Learning Engineering for Production (MLOps) Specialization

     
  • 4.8
  •  |
  • Reviews ( 2.8K )
Free

This Course Includes

  • iconcoursera
  • icon4.8 (2.8K reviews )
  • icon11 hours (approximately)
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconDeepLearning.AI

About Introduction to Machine Learning in Production

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

What You Will Learn?

  • Identify the key components of the ML lifecycle and pipeline and compare the ML modeling iterative cycle with the ML product deployment cycle..
  • Understand how performance on a small set of disproportionately important examples may be more crucial than performance on the majority of examples..
  • Solve problems for structured, unstructured, small, and big data. Understand why label consistency is essential and how you can improve it..