$80

Introduction to Machine Learning for Behavior Analysts (6 CEUs)

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$80

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A gentle introduction to machine learning and some its applications for behavior analysts with no prior training in programming

About this Event

Artificial intelligence holds promise in revolutionizing how we work and interact. However, the adoption of artificial intelligence in behavior analytic practice and research has been lagging in comparison to other professions (e.g., medicine, psychology). Behavior analysts are not traditionally trained to program and work with automated algorithms, which may explain why we are falling behind. The purpose of the workshop is to provide a gentle introduction to artificial intelligence and some its applications for behavior analysts with no prior training in programming or computer science. First, the presenter will review the terminology and logic underlying artificial intelligence and its application to socially significant problems. Second, the participants will apply machine learning algorithms to solve two behavior analytic problems: 1) predicting treatment effectiveness and 2) the analysis of single-case designs. In summary, the workshop will provide step-by-step written and oral instructions as to how to apply the algorithms to behavior analytic problems, the presenter will model how to train machine learning models, and the participants will practice their newly learned skills by coding their own models (using helper functions) and receive feedback on their implementation.

At the conclusion of the workshop, participants will be able to:

1) Describe what artificial intelligence and machine learning are

2) Explain the benefits and drawbacks of using machine learning models to solve socially significant problems

3) Describe behavior analytic applications of machine learning

4) Train simple machine learning models to analyze behavior analytic data using Python

Instructor: Marc J. Lanovaz, Ph.D., BCBA-D

BACB Authorized Continuing Education Provider: 6 CEUs available

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Eventbrite's fee is nonrefundable.

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