Log In
Or create an account ->
Imperial Library
Home
About
News
Upload
Forum
Help
Login/SignUp
Index
Cover
Front Matter
1. Introduction to Machine Learning and R
2. Data Preparation and Exploration
3. Sampling and Resampling Techniques
4. Data Visualization in R
5. Feature Engineering
6. Machine Learning Theory and Practice
7. Machine Learning Model Evaluation
8. Model Performance Improvement
9. Time Series Modeling
10. Scalable Machine Learning and Related Technologies
11. Deep Learning Using Keras and TensorFlow
Back Matter
← Prev
Back
Next →
← Prev
Back
Next →