About this document
Numerical Methods for Data Science Syllabus by kunal is a document available to read on EtoBox.
This syllabus outlines courses covering numerical methods, optimization, and machine learning. Key topics include polynomial functions, interpolation, integration, solving equations, linear and nonlinear optimization, MapReduce programming, Apache Spark, deep learning, neural networks, and more.
- Author
- kunal
- Language
- EN