Kenneth R. Lewis, Jr.

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To summarize, Machine Learning is great for: Problems for which existing solutions require a lot of hand-tuning or long lists of rules: one Machine Learning algorithm can often simplify code and perform better. Complex problems for which there is no good solution at all using a traditional approach: the best Machine Learning techniques can find a solution. Fluctuating environments: a Machine Learning system can adapt to new data. Getting insights about complex problems and large amounts of data.
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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