This interactive, half-day, course will cover key concepts in Machine Learning (ML), its strengths and limits, and how to start building a roadmap for your business.
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Machine learning, and the broader topics of Advanced Analytics, Artificial Intelligence, and Big Data, are continually increasing in most industries and a multitude of business areas. To accelerate growth and maintain a competitive edge, every IT leader should be considering how to leverage ML in their business.
No prerequisites.
Participants should attend with the intent of engaging in discussion to maximize the value and applicability of the topics in this course.
Module 1: The competitive advantage of ML
Why is everyone talking about AI? Why is it important for every business, in any industry, to consider where ML fits into their strategic vision? In this module, we’ll look at the power of machine learning, use cases, terminology, and taxonomy.
Module 2: ML lifecycle
In this module, we’ll discuss the lifecycle of ML models, the importance of good data, and the evaluation of a model.
Module 3: Implementing ML
In this module, we’ll highlight the suitability of ML to different use cases, common technologies, and other considerations when adopting machine learning.
Module 4: ML roadmap
In this module, we’ll discuss how to evaluate the impact of machine learning and key roles and responsibilities in delivering ML projects.
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