5. Machine Learning

Unit 5 1 Introduction

Discuss this question on aiqus. When posting use the tag 'unit5-1' 

Unit 5 2 What is Machine Learning

Discuss this question on aiqus. When posting use the tag 'unit5-2' 

Unit 5 3 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-2' 

Unit 5 4 Stanley DARPA Grand Challenge

Discuss this question on aiqus. When posting use the tag 'unit5-3' 

Unit 5 5 Taxonomy

Discuss this question on aiqus. When posting use the tag 'unit5-4' 

Unit 5 6 Supervised Learning

Discuss this question on aiqus. When posting use the tag 'unit5-5' 

Unit 5 7 Occam's Razor

Discuss this question on aiqus. When posting use the tag 'unit5-6' 

Unit 5 8 SPAM Detection

For the purpose of this question, assume "Sport" and "Sports" are the same word.

At 4:03, each of the lines at the top is an email message.

Discuss this question on aiqus. When posting use the tag 'unit5-7' 

Unit 5 9 Answer

For the purpose of this question, assume "Sport" and "Sports" are the same word.

At 4:03, each of the lines at the top is an email message.

Discuss this question on aiqus. When posting use the tag 'unit5-7'

Unit 5 10 Question

Discuss this question on aiqus. When posting use the tag 'unit5-8' 

Unit 5 11 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-8'  

Unit 5 12 Maximum Likelihood

Assume the question is asking for the probability of a word in a spam message being "secret" NOT the probability that a spam message contains the word secret.

Discuss this question on aiqus. When posting use the tag 'unit5-9' 

Unit 5 13 Answer

Assume the question is asking for the probability of a word in a spam message being "secret" NOT the probability that a spam message contains the word secret.

Discuss this question on aiqus. When posting use the tag 'unit5-9' 

Unit 5 14 Relationship to Bayes Networks

Discuss this question on aiqus. When posting use the tag 'unit5-10' 

Unit 5 15 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-10'  

Unit 5 16 Question

Discuss this question on aiqus. When posting use the tag 'unit5-11'  

Unit 5 17 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-11' 

Unit 5 18 Question

Discuss this question on aiqus. When posting use the tag 'unit5-12'   

Unit 5 19 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-12' 

Unit 5 20 Question

Discuss this question on aiqus. When posting use the tag 'unit5-13' 

Unit 5 21 Answer and Laplace Smoothing

At 2:20: count(x) is the number of occurrences of this value of the variable x.  |x| is the number of values that the variable x can take on.  k is a smoothing parameter.  And N is the total number of occurrences of x (the variable, not the value) in the sample size. 

Discuss this question on aiqus. When posting use the tag 'unit5-14' 

Unit 5 22 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-14'

Unit 5 23 Question

Discuss this question on aiqus. When posting use the tag 'unit5-15'  

Unit 5 24 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-15' 

Unit 5 25 Question

Discuss this question on aiqus. When posting use the tag 'unit5-16' 

Unit 5 26 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-16'  

Unit 5 27 Summary Naive Bayes

Discuss this question on aiqus. When posting use the tag 'unit5-17'  

Unit 5 28 Advanced SPAM Filtering

Discuss this question on aiqus. When posting use the tag 'unit5-18'  

Unit 5 29 Digit Recognition

Discuss this question on aiqus. When posting use the tag 'unit5-19'  

Unit 5 30 Overfitting Prevention

Discuss this question on aiqus. When posting use the tag 'unit5-20'  

Unit 5 31 Classification vs Regression

Discuss this question on aiqus. When posting use the tag 'unit5-21'  

Unit 5 32 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-21' 

Unit 5 33 Linear Regression

Discuss this question on aiqus. When posting use the tag 'unit5-22' 

Unit 5 34 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-22' 

Unit 5 35 More Linear Regression

Discuss this question on aiqus. When posting use the tag 'unit5-23' 

Unit 5 36 Quadratic Loss

At 1:46 into the video, the second minus sign should be a plus: sum xi yi - 1/M sum yi sum xi PLUS w1 / M ( sum xi )^2 = w1 sum xi^2.

Discuss this question on aiqus. When posting use the tag 'unit5-24'

Unit 5 37 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-24' 

Unit 5 38 Problems with Linear Regression

Discuss this question on aiqus. When posting use the tag 'unit5-25' 

Unit 5 39 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-25'  

Unit 5 40 Linear Regression and Complexity Control

Discuss this question on aiqus. When posting use the tag 'unit5-26' 

Unit 5 41 Minimizing Complicated Loss Functions

Discuss this question on aiqus. When posting use the tag 'unit5-27' 

Unit 5 42 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-27'  

Unit 5 43 Question

Discuss this question on aiqus. When posting use the tag 'unit5-28'  

Unit 5 44 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-28'   

Unit 5 45 Question

Discuss this question on aiqus. When posting use the tag 'unit5-29'   

Unit 5 46 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-30' 

Unit 5 47 Gradient Descent Implementation

Discuss this question on aiqus. When posting use the tag 'unit5-31' 

Unit 5 48 Perceptron

Discuss this question on aiqus. When posting use the tag 'unit5-32' 

Unit 5 49 Answer and SVMs

Discuss this question on aiqus. When posting use the tag 'unit5-32'  

Unit 5 50 k Nearest Neighbors

Discuss this question on aiqus. When posting use the tag 'unit5-33'  

Unit 5 51 kNN Definition

Discuss this question on aiqus. When posting use the tag 'unit5-34'  

Unit 5 52 Answer

Discuss this question on aiqus. When posting use the tag 'unit5-34' 

Unit 5 53 k as Smoothing Parameter

Discuss this question on aiqus. When posting use the tag 'unit5-35' 

Unit 5 54 Problems with kNN

Discuss this question on aiqus. When posting use the tag 'unit5-36' 

Unit 5 55 Congratulations

Discuss this question on aiqus. When posting use the tag 'unit5-37'