Machine Learning for Lawyers

PT21334
Summary
This course is intended for lawyers, legal support, and IT. Its goal is to explain the capabilities and limitations of ML. No coding is required, but the labs and exercises will assure that the attendants will grasp and retain the major principles and ideas. The course maintains an optimal balance of theory and practice. For each machine learning concept, we first discuss the foundations, its applicability, and limitations. Then we explain the implementation and use, and specific use cases
Prerequisites
Computer literacy, such as using MS Office
Duration
1 Day/Lecture & Lab
Audience
This course is designed for Lawyers, legal support and IT students.
Topics
  • Introduction
  • Classification
  • Linear regression
  • Naive Bayes
  • Decision Trees
  • LDA
  • Deep Learning and AI

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