In the second course of Machine Learning Engineering for Production Specialization, you will build data pipelines by gathering, cleaning, and validating datasets and assessing data quality; implement feature engineering, transformation, and selection with TensorFlow Extended and get the most predictive power out of your data; and establish the data lifecycle by leveraging data lineage and provenance metadata tools and follow data evolution with enterprise data schemas.
Machine Learning Data Lifecycle in Production
This course is part of Machine Learning Engineering for Production (MLOps) Specialization
Taught in English
Some content may not be translated
Instructor: Robert Crowe
44,810 already enrolled
Course
(818 reviews)
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What you'll learn
Identify responsible data collection for building a fair ML production system.
Implement feature engineering, transformation, and selection with TensorFlow Extended
Understand the data journey over a production system’s lifecycle and leverage ML metadata and enterprise schemas to address quickly evolving data.
Skills you'll gain
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13 quizzes
Course
(818 reviews)
87%
Recommended experience
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There are 4 modules in this course
This week covers a quick introduction to machine learning production systems. More concretely you will learn about leveraging the TensorFlow Extended (TFX) library to collect, label and validate data to make it production ready.
What's included
12 videos5 readings4 quizzes1 programming assignment1 ungraded lab
Implement feature engineering, transformation, and selection with TensorFlow Extended by encoding structured and unstructured data types and addressing class imbalances
What's included
12 videos2 readings3 quizzes1 programming assignment3 ungraded labs
Understand the data journey over a production system’s lifecycle and leverage ML metadata and enterprise schemas to address quickly evolving data.
What's included
8 videos3 readings3 quizzes1 programming assignment2 ungraded labs
Combine labeled and unlabeled data to improve ML model accuracy and augment data to diversify your training set.
What's included
6 videos4 readings3 quizzes3 ungraded labs
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