Maths 0.1Lesson outlineLesson 1 of 1 in Module 0
The Maths Inside One Prediction
See every branch of this track at work inside one prediction and one training step, so each later video has a place to land.
Free sample. Everything in this module opens with a free account.Video in production.
Learn
In this lesson9 parts
- 01A model prediction and the actual revenue
- 02Features, target and the mean baseline
- 03Weighted sum, vectors and the dot product
- 04Feature matrix, matrix–vector product and mean squared error
- 05The error function, the derivative and the gradient
- 06Checkpoint: prediction, error and training
- 07Probability products, logarithms and floating point underflow
- 08The computation in NumPy
- 09Recap, challenge, and next: functions and their graphs
Quiz
Your first pick on each question is the one that counts, and a right one earns a coin. Getting one wrong here is how the lesson sticks.