Module 26 - data science and machine learning_Screen_Stream.avi |
Content
Module 26 : Basics of Machine Learning and Data Science (Available Length : 30 Minutes)
- Basics of ML and Data Science
- Example of Machine Learning
- Supervised and Unsupervised Learning
- Key terminology e.g. features, training and testing
- How to choose right algorithm
- Common steps of Machine Learning
- Collect data
- Prepare Input data
- Analyze Input data
- Train the algorithm
- Test the algorithm
- Use the Algorithm
Spark Specialization Components
 
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