### •

g ≈ f is something that shows intelligent behavior—ML can realize AI, among other routes

### •

e.g. chess playing### • traditional AI: game tree

### • ML for AI: ‘learning from board data’

ML is one possible route to realize AI

Hsuan-Tien Lin (NTU CSIE) Machine Learning Foundations 24/27

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Artificial Intelligence

### Machine Learning

use data to compute hypothesis g that approximates target f

### Artificial Intelligence

compute**something**

**that shows intelligent behavior**

### •

g ≈ f is something that shows intelligent behavior—ML can realize AI, among other routes

### •

e.g. chess playing### • traditional AI: game tree

### • ML for AI: ‘learning from board data’

ML is one possible route to realize AI

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Artificial Intelligence

### Machine Learning

use data to compute hypothesis g that approximates target f

### Artificial Intelligence

compute**something**

**that shows intelligent behavior**

### •

g ≈ f is something that shows intelligent behavior—ML can realize AI, among other routes

### •

e.g. chess playing### • traditional AI: game tree

### • ML for AI: ‘learning from board data’

ML is one possible route to realize AI

Hsuan-Tien Lin (NTU CSIE) Machine Learning Foundations 24/27

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Artificial Intelligence

### Machine Learning

use data to compute hypothesis g that approximates target f

### Artificial Intelligence

compute**something**

**that shows intelligent behavior**

### •

g ≈ f is something that shows intelligent behavior—ML can realize AI, among other routes

### •

e.g. chess playing### • traditional AI: game tree

### • ML for AI: ‘learning from board data’

ML is one possible route to realize AI

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Artificial Intelligence

### Machine Learning

use data to compute hypothesis g that approximates target f

### Artificial Intelligence

compute**something**

**that shows intelligent behavior**

### •

g ≈ f is something that shows intelligent behavior—ML can realize AI, among other routes

### •

e.g. chess playing### • traditional AI: game tree

### • ML for AI: ‘learning from board data’

ML is one possible route to realize AI

Hsuan-Tien Lin (NTU CSIE) Machine Learning Foundations 24/27

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Statistics

### Machine Learning

use data to compute hypothesis g that approximates target f

### Statistics

use data to

**make inference** **about an unknown process**

### •

g is an inference outcome; f is something unknown—statistics

**can be used to achieve ML**

### •

traditional statistics also focus on**provable results with math** **assumptions, and care less about computation**

statistics: many useful tools for ML

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Statistics

### Machine Learning

use data to compute hypothesis g that approximates target f

### Statistics

use data to

**make inference** **about an unknown process**

### •

g is an inference outcome; f is something unknown—statistics

**can be used to achieve ML**

### •

traditional statistics also focus on**provable results with math** **assumptions, and care less about computation**

statistics: many useful tools for ML

Hsuan-Tien Lin (NTU CSIE) Machine Learning Foundations 25/27

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Statistics

### Machine Learning

use data to compute hypothesis g that approximates target f

### Statistics

use data to

**make inference** **about an unknown process**

### •

g is an inference outcome; f is something unknown—statistics

**can be used to achieve ML**

### •

traditional statistics also focus on**provable results with math** **assumptions, and care less about computation**

statistics: many useful tools for ML

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Statistics

### Machine Learning

use data to compute hypothesis g that approximates target f

### Statistics

use data to

**make inference** **about an unknown process**

### •

g is an inference outcome; f is something unknown—statistics

**can be used to achieve ML**

### •

traditional statistics also focus on**provable results with math** **assumptions, and care less about computation**

statistics: many useful tools for ML

Hsuan-Tien Lin (NTU CSIE) Machine Learning Foundations 25/27

The Learning Problem Machine Learning and Other Fields

## Machine Learning and Statistics

### Machine Learning

use data to compute hypothesis g that approximates target f

### Statistics

use data to

**make inference** **about an unknown process**

### •

g is an inference outcome; f is something unknown—statistics

**can be used to achieve ML**

### •

traditional statistics also focus on**provable results with math** **assumptions, and care less about computation**

statistics: many useful tools for ML

The Learning Problem Machine Learning and Other Fields

## Fun Time

### Which of the following claim is not totally true?

### 1

machine learning is a route to realize artificial intelligence### 2

machine learning, data mining and statistics all need data### 3

data mining is just another name for machine learning### 4

statistics can be used for data mining### Reference Answer: 3

While data mining and machine learning do share a huge overlap, they are arguably not equivalent because of the difference of focus.

Hsuan-Tien Lin (NTU CSIE) Machine Learning Foundations 26/27

The Learning Problem Machine Learning and Other Fields

## Fun Time

### Which of the following claim is not totally true?

### 1

machine learning is a route to realize artificial intelligence### 2

machine learning, data mining and statistics all need data### 3

data mining is just another name for machine learning### 4

statistics can be used for data mining### Reference Answer: 3

While data mining and machine learning do share a huge overlap, they are arguably not equivalent because of the difference of focus.

The Learning Problem Machine Learning and Other Fields