Gain insights into industry-level machine learning by applying advanced TensorFlow and Python techniques. Explore efficient methods for creating scalable models, from data pipelines to deployment and inference.
Advanced
26 Lessons
3h
Certificate of Completion
Gain insights into industry-level machine learning by applying advanced TensorFlow and Python techniques. Explore efficient methods for creating scalable models, from data pipelines to deployment and inference.
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This course includes
This course includes
Course Overview
In this course, you'll level up your skills learned in the Industry Case Study and Machine Learning for Software Engineers. You'll take the modeling and data pipeline concepts and apply them to production-level classification and regression models for industry deployment, while continuing to practice the most efficient techniques for building scalable machine learning models. After this course, you will be able to complete industry-level machine learning projects, from data pipeline creation to model deploy...
Course Content
What you'll learn in this course
Data Pipeline
Model Execution
Course Author
Part of the Machine Learning Path
Become a Machine Learning Engineer
12 Modules
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Anthony Walker
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Emma Bostian 🐞
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Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
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Vinay Krishnaiah
Software Developer
Eric Downs
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Kenan Eyvazov
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Anthony Walker
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Emma Bostian 🐞
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