How do you deal with data that s messy, incomplete, or in varied formats? How do you choose the right model for the data?
The solution to these questions is MATLAB.
MATLAB is the language of choice for many researchers and mathematics experts when it comes to machine learning. Engineers and data scientists work with large amounts of data in a variety of formats such as sensor, image, video, telemetry, databases, and much 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. MATLAB is designed to give developers fluency in MATLAB programming language. Problem–based MATLAB examples have been given in simple and easy way to make your learning fast and effective. If you’re interested to learn and implement powerful machine learning techniques, using MATLAB, then go for this Learning Path.
Packt s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.
The highlights of this Learning Path are:
Courses : 211
Specification: LEARNING PATH: MATLAB: Powerful Machine Learning with MATLAB
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