Introduction to Machine Learning

Introduction to Machine Learning

Issued by Northeastern University

Recipients of the Introduction to Machine Learning: Reshaping Product Design badge completed learning experiences in machine learning [ML] concepts and practiced applying them to product design cycle management. Topics included data set design, annotation, and analysis; ML algorithms such as decision tree, nearest-neighbor, and Bayesian classifiers; large scale deep networks, architectures, and training; evaluating ML systems, and how characteristics of ML systems affect product management.

Skills

Earning Criteria

  • Defined machine learning concepts and vocabulary
  • Practiced specifying a problem and selecting appropriate data and ML methods to solve it
  • Explored the total development cycle for machine learning products
  • Integrated best practices, tools, and techniques to address data bias, robust evaluation of ML system performance, and linking ML performance to customer outcomes
  • Formulated a product development plan
  • Presented a product and product development plan