What math subjects are used in machine learning, and how are they used? In this research paper by Richard Han, Ph.D., we look at the mathematics behind the machine learning techniques linear regression, linear discriminant analysis, logistic regression, artificial neural networks, and support vector machines.
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Machine learning is helping manufacturers find new business models, fine-tune product quality, and optimize manufacturing operations to the shop floor level. Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable.
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Machine learning unveils the hidden potentials of big data to solve complex business problems.
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Implementing machine learning into business operations can be daunting, but it is now necessary to move ambitious business's forward
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