Applied Machine Learning skills made easy with MATLAB

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This ebook is essential for based -knowledge with all engineers need to know

* Explore the fundamentals behind machine learning, focusing on unsupervised and supervised learning. You’ll learn about common machine learning techniques including clustering, classification, and regression.

* This Unique ebook is your guide to the basic techniques. You’ll see that machine learning is within your grasp—you don’t need to be an expert to get started

* For multidimensional data analysis, Machine Learning provides feature selection, stepwise regression, principal component analysis (PCA), regularization, and other dimensionality reduction methods that let you identify variables or features that impact your model.

* The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted and bagged decision trees, k-nearest neighbor, k-means, k-medoids, hierarchical clustering,...