Mathematical Foundations of Machine Learning

To be a good data scientist, you need to know how to use data science and machine learning libraries and algorithms, such as Scikit-learn, TensorFlow, and PyTorch, to solve whatever problem you have at hand. To be an excellent data scientist, you need to know how those libraries and algorithms work under the hood. This is where our "Machine Learning & Data Science Foundations Masterclass" comes in. Led by deep learning guru Dr. Jon Krohn, this course provides a firm grasp of the underlying mathematics, such as linear algebra, tensors, and eigenvectors, that operate behind the most important Python libraries, machine learning algorithms, and data science models. While the above sections constitute a standalone, introductory course on linear algebra all on their own, we're not stopping there!