Introduction to Machine Learning
Issued by
Monash College
The earner of this badge is a Digital Skills course participant who has demonstrated foundations for exploring Machine Learning and Artificial Intelligence (AI); using software to develop and implement machine learning techniques.
- Type Validation
- Level Foundational
- Time Weeks
- Cost Paid
Skills
Earning Criteria
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Complete Alogrithms over the first four weeks of the course, introducing participants to AI and Machine Learning, before stepping through an introduction to data structures, repetition, sorting, complexity, graphs and searching.
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Exploratory Data Analysis (EDA) over the second four weeks of the course will cover: Data Management (wrangling and cleaning); Simple linear equations; Advanced regression techniques; and Interpreting data (including ethics and data bias).
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Neural Networks over the final four weeks of the course covers Size and structure, Training methodologies and concludes with ethical considerations and the future of AI.
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Submit three artefacts as part of a portfolio on Algorithms; a series of short application-based tasks, a Exploratory Data Analysis (EDA) and Neural Networks in a written report and peer presentation. A pass grade is required for all three artefacts.