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AI Workflow: Machine Learning, Visual Recognition and NLP

AI Workflow: Machine Learning, Visual Recognition and NLP

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9.2/10 (Our Score)
Product is rated as #6 in category Artificial Intelligence

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company. The first topic covers the complex topic of evaluation metrics, where you will learn best practices for a number of different metrics including regression metrics, classification metrics, and multi–class metrics, which you will use to select the best model for your business challenge. The next topics cover best practices for different types of models including linear models, tree–based models, and neural networks. Out–of–the–box Watson models for natural language understanding and visual recognition will be used. There will be case studies focusing on natural language processing and on image analysis to provide realistic context for the model pipelines. By the end of this course you will be able to: Discuss common regression, classification, and multilabel classification metrics Explain the use of linear and logistic regression in supervised learning applications Describe common strategies for grid searching and cross–validation …

Instructor Details

Mark J. Grover is a member of the IBM Data & AI Learning team and specializes in creating and delivering online content. He comes to IBM from Cape Fear Community College in Wilmington, NC where he was a full time professor of computer technology. He was one of the coordinators for their Information Security program and taught courses in Computer Security, Network Administration, System Administration, and Microsoft Office. He was the lead Cisco instructor and faculty advisor to the school’s annual Cisco Netriders networking competition. During his tenure, he was recognized as a Cisco Instructor of Excellence – Expert level and was nominated for US Professor of the Year. Prior to teaching, Mark owned and operated a computer sales and service company for over 13 years. He then transitioned to a position working at the University of North Carolina Wilmington providing enterprise computer support, where he achieved the highest award for a staff member: The Award for Excellence in Innovation. Mark brings over 25 years of information technology experience to IBM. His passion includes camping, hiking, mountain biking, and spending time with his family. He is happily married and has two kids.

Specification: AI Workflow: Machine Learning, Visual Recognition and NLP

Duration 5 hours
Year 2019
Level Expert
Certificate Yes
Quizzes Yes

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    vignaux

    Great course with a lot of practice and smart meaning !

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    AI Workflow: Machine Learning, Visual Recognition and NLP
    AI Workflow: Machine Learning, Visual Recognition and NLP

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