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コース概要
Introduction
Setting up the R Development Environment
Deep Learning vs Neural Network vs Machine Learning
Building an Unsupervised Learning Model
Case Study: Predicting an Outcome Using Existing Data
Preparing Test and Training Data Sets For Analysis
Clustering Data
Classifying Data
Visualizing Data
Evaluating the Performance of a Model
Iterating Through Model Parameters
Hyper-parameter Tuning
Integrating a Model with a Real-World Application
Deploying a Machine Learning Application
Troubleshooting
Summary and Conclusion
要求
- R programming experience
- An understanding of machine learning concepts
21 時間
