TY  - BOOK
AB  - These supplementary notes are roughly connected to the lecture ”Introduction to Machine Learning”.
The aim of these notes is to help students getting a deep understanding of
the topics discussed in the lecture and exercises. However, we do not claim
or guarantee that all topics (from the lecture/exercises) are covered in these
notes (since there are minor changes each year). Therefore, the existence of
these notes is no excuse for not visiting & attending the lecture and exercises.
Furthermore, many topics are covered in far more details than (for just passing the exam) necessary. However, we think that these - more in depth - explanations might be interesting & useful to curious students who want to ”dive deeper” into the material.
DA  - 2019
LA  - eng
PY  - 2019
TI  - Introduction to Machine Learning - Supplementary notes
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29364081
Y2  - 2024-11-22T12:53:13
ER  -