This is the Windows app named Machine Learning Foundations whose latest release can be downloaded as ML-foundationssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Machine Learning Foundations
DESCRIPTION:
Machine Learning Foundations repository contains the code, notebooks, and teaching materials used in Jon Krohn’s Machine Learning Foundations curriculum. The project focuses on explaining the fundamental mathematical and computational concepts that underpin modern machine learning and artificial intelligence systems. The materials cover essential topics such as linear algebra, calculus, statistics, and probability, which form the theoretical basis of many machine learning algorithms. The repository includes Jupyter notebooks with explanations and examples that demonstrate how these mathematical principles relate to real machine learning applications. Each section introduces theoretical concepts and then illustrates them through practical coding examples to reinforce understanding. The project is designed for students and practitioners who want to strengthen their foundational knowledge before working with more advanced machine learning frameworks.
Features
- Educational notebooks covering mathematical foundations of machine learning
- Topics including linear algebra, calculus, and statistics
- Code examples demonstrating theoretical concepts
- Structured curriculum supporting machine learning education
- Practical demonstrations linking math to AI algorithms
- Practical demonstrations linking math to AI algorithms
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/machine-learning-found.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.