Lecture 11: Machine Learning for BDA

Question 1

Machine learning
=> Supervised learning
or => Unsupervised learning

Answer 1

Machine learning
=> Supervised learning
or => Unsupervised learning

Question 2

Supervised Learning:
Training data set => Learning algorithm => hypotheses.
Data input => hypotheses => estimate output

Answer 2

Supervised Learning:
Training data set => Learning algorithm => hypotheses.
Data input => hypotheses => estimate output
(Lecture 11 - slide 27)

Question 3

?? is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. The idea is to take repeated steps in the opposite direction of the gradient of the function at the current point, because this is the direction of steepest descent.

Answer 3

Gradient descent is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. The idea is to take repeated steps in the opposite direction of the gradient of the function at the current point, because this is the direction of steepest descent.

google to find images