Machine Learning (Stanford) Coursera (Week 1, Quiz 3) for the github repo: https://github.com/mGalarnyk/datasciencecoursera/tree/master/Stanford_Machine_Learning

machineLearningWeek1Quiz3.md

Machine Learning Week 1 Quiz 3 (Linear Algebra) Stanford Coursera

Github repo for the Course: Stanford Machine Learning (Coursera)
Quiz Needs to be viewed here at the repo (because the image solutions cant be viewed as part of a gist)

Question 1

Question 2

Question 3

Question 4

Question 5

For this question, assume that we are

using the training set from Q1. Recall our definition of the

cost function was J(\theta_0, \theta_1) = \frac{1}{2m}\sum_{i=1}^m{(h_\theta(x^{(i)}) - y^{(i)})^2}J(θ
0
​
,θ
1
​
)=
2m
1
​
∑
i=1
m
​
(h
θ
​
(x
(i)
)−y
(i)
)
2
.

What is J(0, 1)J(0,1)? In the box below,

please enter your answer (Simplify fractions to decimals when entering answer, and '.' as the decimal delimiter e.g., 1.5).

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