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ITEC 203 Introduction to Data Science and Machine Learning

This ITEC 203 Introduction to Data Science and Machine Learning course unit can cowl elementary theories of knowledge science and machine learning and their sensible implementations and use whereas considering the problem of machine bias and the way it should harm the good. The unit aims to supply students with elementary knowledge science and machine learning theories and techniques, along with standard tools to resolve real-world issues like in digital health.

Learning outcomes:

1. Demonstrate comprehensive information of victimization knowledge science libraries and tools for processing and analysis.

2. Appraise the employment of elementary knowledge science and machine learning theories, key techniques and relevant tools for machine learning preparation.

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