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Before the graded programming assignments, you'll find added ungraded code notebooks with sample code and interactive graphs to assist you to visualize what an algorithm is doing and make it less difficult to complete programming workouts.
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Develop machine learning versions in Python employing well known machine learning libraries NumPy & scikit-learn
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Leveraging the prosperous experience of the faculty with the MIT Center for Computational Science and Engineering (CCSE), this software connects your science and engineering capabilities towards the principles of machine learning and data science.
This Specialization is suitable for learners with a few standard understanding of programming and large-university level math, as well as early-stage professionals in software engineering and data analysis who desire to upskill in machine learning.
Every lesson starts with a visible illustration of machine learning principles along with a substantial-amount rationalization in the intuition guiding them. It then provides the code that may help you implement these algorithms and additional movies describing the underlying math if you wish to dive deeper.