https://www.mathworks.com/solutions/machine-learning.html?s_eid=PSM_14516
Engineers and data scientists work with large amounts of data in a variety of formats such as sensor, image, video, telemetry, databases, and more. They use machine learning to find patterns in data and to build models that predict future outcomes based on historical data. With MATLAB®, you have immediate access to prebuilt functions, extensive toolboxes, and specialized apps for classification, regression, and clustering. You can:
- Compare approaches such as logistic regression, classification trees, support vector machines, ensemble methods, and deep learning.
- Use model refinement and reduction techniques to create an accurate model that best captures the predictive power of your data.
- Integrate machine learning models into enterprise systems, clusters, and clouds, and target models to real-time embedded hardware.
'Machine Learning' 카테고리의 다른 글
| Decision theory - reject option (0) | 2016.12.28 |
|---|---|
| #5. Training / Test / Validation Set : 오버피팅을 피하는 방법 Terry TaeWoong Um (0) | 2016.12.27 |
| 기계 학습(Machine Learning)은 즐겁다! Part 2 (0) | 2016.12.19 |
| Machine Learning & Deep Learning Tutorials (0) | 2016.12.19 |
| Jupyter notebook content for my OReilly book, the Python Data Science Handbook (0) | 2016.12.17 |
