Machine Learning Data Lifecycle in Production
Machine Learning Engineering for Production (MLOps),
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. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Collecting, Labeling, and Validating data Week 2: Feature Engineering, Transformation, and Selection Week 3: Data Journey and Data Storage Week 4: Advanced Data Labeling Methods, Data Augmentation, and Preprocessing Different Data Types
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Rating | Not enough ratings |
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Length | 5 weeks |
Effort | At the rate of 5 hours a week, it typically takes 4 weeks to complete this course. |
Starts | Jun 26 (44 weeks ago) |
Cost | $49 |
From | deeplearning.ai via Coursera |
Instructor | Robert Crowe |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | At the rate of 5 hours a week, it typically takes 4 weeks to complete this course. |
Starts | Jun 26 (44 weeks ago) |
Cost | $49 |
From | deeplearning.ai via Coursera |
Instructor | Robert Crowe |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
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