: One of the standout features is that all exercises are fully solved within the text, making it an ideal choice for self-study.
Since Taboga writes for data scientists, you should convert his linear algebra into code (Python with NumPy or R). For example: lectures on linear algebra marco taboga pdf
Do not just read the PDF. Keep a notebook. When Taboga presents a definition, rewrite it in your own words. When he proves a theorem (e.g., proving that matrix multiplication is associative), close the PDF and try to reproduce the proof. : One of the standout features is that
Here is the responsible warning:
