Machine Learning Foundations: Calculus
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Description
In this course, I delve into the foundational aspects of calculus that are crucial for understanding and implementing machine learning algorithms. I guide you through the exploration of functions, derivatives, integrals, and the basics of multivariate calculus. The course is designed to equip you with the necessary skills in Machine Learning, Calculus, and Mathematics. It covers a wide range of learning outcomes, including the evaluation of data sources, data visualization, and the ethical considerations in data science.
Learning Objectives
- Assessing skills for a data science career.
- Evaluating different data sources.
- Exploring data through graphs and statistics.
- Understanding use of R, Python, and SQL in data science.
- Assessing the role of algebra in data science.
- Understanding the role of machine learning in data science.
- Defining components of effective data visualization.
- Assessing the role of ethics and agency in data science.