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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.

Advanced

26 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

41 Playgrounds

15 Challenges

Course Overview

Course Content

Apply Your Skills

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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

In this course, you'll level up your skills learned in the Industry Case Study and Machine Learning for Software Engineers. You'...Show More

Course Content

What you'll learn in this course

1 Lessons

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

Overview

Data Pipeline

11 Lessons

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

Model Execution

14 Lessons

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

Course Author

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