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1
Introduction
2
Collab
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Welcome
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Agenda
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What is Machine Learning
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The Data Set
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Decision Trees
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Data
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Labels
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Training vs Testing Data
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Good News
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Training
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Evaluation
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Visualizations
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Tree Accuracy
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Different Models
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Free Resources
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Questions
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Common Steps
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Simple ML
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UX Research
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Advice
Description:
Dive into a 46-minute introductory session on machine learning, covering essential topics from ML model basics to creating your first project. Gain hands-on experience using CoLabs, leverage technical documentation, and explore various ML concepts including decision trees, data sets, training vs. testing data, and model evaluation. Learn from speakers Soo Sung and Michelle Carney as they guide you through the fundamentals, offer visualization techniques, and provide insights on different models. Discover free resources, get advice on UX research in ML, and understand common steps in the machine learning process. Access the provided CoLab notebook for practical exercises and deepen your understanding of this rapidly evolving field.

Introduction to Machine Learning

TensorFlow
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