Applied Machine Learning: Deep Learning for Industry

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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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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Explanations

AI-POWERED

Explanations

This course includes

41 Playgrounds
15 Challenges

This course includes

41 Playgrounds
15 Challenges

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...Show More

Course Content

1.

What you'll learn in this course

Get familiar with practical machine learning applications for industry, from data processing to model interpretation.
2.

Data Pipeline

Walk through creating efficient data pipelines with TensorFlow for handling large datasets.
3.

Model Execution

Work your way through model execution, training, evaluation, and making predictions using TensorFlow.

Course Author

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Part of the Machine Learning Path


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Become a Machine Learning Engineer

This Skill Path covers Python fundamentals, machine learning techniques and algorithms through practical exercises, preparing you as a machine learning engineer for real-world applications.
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12 Modules

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