Machine learning software to help the user learn from data and software that helps machines learn and adapt to their environment. To practice it MATLAB is a good software.
Machine learning is a field in computer science where existing data are used to predict, or respond to, future data. It is closely related to the fields of pattern recognition, computational statistics, and artificial intelligence.
The statistics functions that help give us insight into data. These are often used in the context of “big data.” It also includes descriptions of packages for other branches of autonomous learning systems such as system identification. System identification is a branch of automatic control that learns about the systems under control, allowing for better and more precise control.
MATLAB compatible software include R, Python, and SNOPT where in MATLAB you can develop more features.
In all cases it is straightforward to write MATLAB interfaces to these packages. Using MATLAB as a front end can be very helpful and allow you to create integrated packages that include MATLAB, Simulink, and the machine learning package of your choice. Optimization is a tool used as part of machine learning to find the best or “optimal” parameters.
The most popular algorithms in Machine learning are:
- Neural Networks
- Face recognition
- Data classification
More to read:
Top Blog to read on MATLAB
Best books for MATLAB programming
Top MATLAB training programs
- MATLAB from coursera
- Training on MATLAB from lynda
- MATLAB fundamentals from Udemy
- Course on MATLAB from Edx
White papers on MATALB
Case studies on MATLAB
MATLAB free course details
Installation of MATLAB-Downloads
You can download open source MATLAB for your practice.