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• Establish machine learning styles in Python making use of well-known machine learning libraries NumPy and scikit-learn.
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• Create recommender methods with a collaborative filtering tactic as well as a content-primarily based deep learning read more process.
This up to date Specialization usually takes the core curriculum — which has been vetted by millions of learners through the years — and can make it much more approachable for novices.
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While in the ten years since the primary Machine Learning course debuted, Python has become the principal programming language for AI applications. The assignments and lectures in the new Specialization have already been rebuilt to employ Python instead of Octave, like in the initial class.
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Create recommender methods with a collaborative filtering solution in addition to a content-dependent deep learning strategy
• Construct and coach supervised machine learning designs for prediction and binary classification responsibilities, together with linear regression and logistic regression.
In the event you full all 3 programs and therefore are subscribed to your Specialization, you will also receive a further certification demonstrating that you simply accomplished your entire Specialization.