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.
Este curso forma parte de Programa especializado: Machine Learning Engineering for Production (MLOps)
Ofrecido Por

Acerca de este Curso
• Some knowledge of AI / deep learning
• Intermediate Python skills
• Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)
Qué aprenderás
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.
Habilidades que obtendrás
- 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)
Ofrecido por
Programa - Qué aprenderás en este curso
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
Reseñas
- 5 stars60,06 %
- 4 stars21,94 %
- 3 stars9,73 %
- 2 stars4,95 %
- 1 star3,30 %
Principales reseñas sobre MACHINE LEARNING DATA LIFECYCLE IN PRODUCTION
Lessons are well structured and clear, and the labs are very instructive. Above all the course is fun!
It will be more interesting if unstructured data such as image, audio, ... is used more in the course.
Great training! Great trainer, super materials and labs.
Best course for the professionals looking to upgrade there ML skills at production level! Thanks to the brilliant and wonderful course instructor.
Acerca de Programa especializado: Machine Learning Engineering for Production (MLOps)

Preguntas Frecuentes
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