Overview
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Learn how to use machine learning to make better decisions and find patterns in your data.
Syllabus
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Introduction
- Welcome
- What it means to learn
- Work with data
- Apply machine learning
- Different types of machine learning
- Supervised
- Unsupervised
- Semi-supervised
- Reinforcement
- Problems that use machine learning
- Decision trees
- k-nearest neighbor
- K-mean clustering
- Regression
- Naive Bayes
- Follow the data
- Fit the data
- Select the best algorithm
- Machine learning challenges
- Next steps
