#9. Intuition for vectors, dot products and Euclidean distances in Machine Learning | Tutorial
The video discusses the intuition behind vectors, dot products and Euclidean distances in Machine Learning.
Timeline
(Python 3.7)
00:00 - Welcome
00:11- Vectors/Feature Vectors/Parameters in ML
02:20 - Why feature vectors? How are they used?
03:25 - Algebra: Dot product between two vectors/points
04:49 - Dot product intuition
05:34 - Python: Dot product between two vectors/points
12:53 - Distance between two points (Euclidean distance)
14:00 - Distance between two points intuition
14:15 - Calculate distance between two points
15:31 - Open Jupyter Notebook
16:22 - Dot product
19:55 - Euclidean distance
22:14 - End