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Become a Machine Learning Engineer

Dec 28, 2019
APPLY FOR THIS OPPORTUNITY! Or, know someone who would be a perfect fit? Let them know! Share / Like / Tag a friend in a post or comment! To complete application process efficiently and successfully, you must read the Application Instructions carefully before/during application process.
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Learn advanced machine learning techniques and algorithms — including how to package and deploy your models to a production environment.

Estimated Time  – 3 months / At 10 hrs/week
Enroll by  -January 14, 2020 /Get access to classroom immediately on enrollment
 Prerequisites /Intermediate Python & Machine Learning Algorithms

        See prerequisites in detail
FOR MORE INFORMATION PLEASE OPEN THIS LINK  http://www.udacity.com/

Machine Learning Engineer

Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.

This program is intended for students who already have knowledge of machine learning algorithms. 

  • Software Engineering Fundamentals

    In this lesson, you’ll write production-level code and practice object-oriented programming, which you can integrate into machine learning projects.

    icon-project.svgBuild a Python Package

  • Machine Learning in Production

    Learn how to deploy machine learning models to a production environment using Amazon SageMaker.

    Become a Machine Learning Engineerplopandrew.blogspot.com

Become a Machine Learning Engineer

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