Changeover into tech roles by proving your power to work with machine learning, automation, and analytics tools
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Ahead of the graded programming assignments, you will find extra ungraded code notebooks with sample code and interactive graphs to assist you to visualize what an algorithm is carrying out and make it easier to complete programming exercise routines.
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Each lesson starts with a visible representation of machine learning concepts and a high-level explanation of your intuition guiding them. It then supplies the code that can assist you carry out these algorithms and additional videos explaining the underlying math if you want to dive deeper.
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Within the decade since the first Machine Learning course debuted, Python has become the first programming language for AI applications. The assignments and lectures in the new Specialization have been rebuilt to utilize Python instead of Octave, like in the first course.
• Build machine learning models in Python using preferred machine learning libraries NumPy and scikit-learn.