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.
Ce cours fait partie de la Spécialisation Machine Learning Engineering for Production (MLOps)
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À propos de ce cours
• Some knowledge of AI / deep learning
• Intermediate Python skills
• Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)
Ce que vous allez apprendre
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.
Compétences que vous acquerrez
- ML Metadata
- Convolutional Neural Network
- TensorFlow Extended (TFX)
- Data Validation
- Data transformation
• Some knowledge of AI / deep learning
• Intermediate Python skills
• Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)
Offert par
Programme de cours : ce que vous apprendrez dans ce cours
Week 1: Collecting, Labeling and Validating Data
Week 2: Feature Engineering, Transformation and Selection
Week 3: Data Journey and Data Storage
Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing
Avis
- 5 stars60,13 %
- 4 stars21,91 %
- 3 stars9,71 %
- 2 stars4,94 %
- 1 star3,29 %
Meilleurs avis pour MACHINE LEARNING DATA LIFECYCLE IN PRODUCTION
Great training! Great trainer, super materials and labs.
instruction on debugging jupyter and submission issue is important for learners
Excellent course. Theory and practice well combined, to fit diverse curiositiy levels.
Lessons are well structured and clear, and the labs are very instructive. Above all the course is fun!
À propos du Spécialisation Machine Learning Engineering for Production (MLOps)

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