1. What Is Machine Learning?
What it means to learn
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Work with data
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Apply machine learning
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Different types of machine learning
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2. Different Ways a Machine Learns
Unsupervised
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Supervised
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Semi-supervised
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Reinforcement
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3. Popular Machine Learning Algorithms
Decision trees
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K-mean clustering
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Regression
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Problems that use machine learning
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k-nearest neighbor
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Naive Bayes
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4. Applying Algorithms
Follow the data
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Fit the data
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Select the best algorithm
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5. Common Challenges
Machine learning challenges
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Ex_Files_Glossary_ML.zip
(102 KB)