&

2003

: ?

: . .

2017

..

1.

ML DM STAT

Data Mining (KDD)

Machine Learning

( AI )

Statistics

From http://www.kdnuggets.com/2014/06/data-science-skills-business-problems.html

1.1Data Mining

From www.saedasayad.com

-Solving everything -Algorithmic & Efficient

1.2 Machine Learning

From http://www.humphreysheil.com/blog/deep-learning-and-machine-learning

-AI is all of computer science -Learn, learn and learn

1.3 Statistics

From www.quora.com

- The World is probabilistic - Model and Distribution

Too formal but strong

https://www.quora.com/What-can-you-do-with-a-double-major-in-Computer-Science-and-Statistics

1.4 Why statistics?

Data Mining (KDD)

Machine Learning

( AI )

Statistics

DATA Probability inevitably

Association Rule

( Conditional Probability)

K-means ( EM ) 1. NO BLACK BOX

2. BREAKTHROUGH

2003 2017

2007

2010

2012

AI

.

NEXT..

2.

1.

? ?

..

2.

. .

3.

Data Mining (KDD)

Machine Learning

( AI )

Statistics

3.

1.

1.

? ? ? ?

1.

? ? ? ?

2.

? , , ? ? ? ?

&

LDA

Fraud detection

Team matching

ROBOT IR ( )

TOPIC

UX - UI

-7%

2nd 3600px

1st 2750px

3rd 4550px

2nd 1060px

1st 560px

3rd 2050px

1000px

2000px

3000px

4000px

5000px

560px

User

Valid max 4050 ( 98%)

2nd 610px

1st 560px

3rd 720px

- boxplot

.

-50000

0

50000

100000

150000

200000

250000

300000

350000

0 500 1000 1500 2000 2500 3000 3500 4000 4500

median

median

median

- , Graph

4.

NLP ? text ? ?

5. &

0. 5 .

(1) Data Collection : ( )

(2) Descriptive Statistics - : .

(3) Exploratory data analysis : , .

(4) Hypothesis testing : .

(5) Estimation : . 5 .

1. (Descriptive Statistics) -

?

-> .

-> , ,

Median, quantile, variance,

1. (Descriptive Statistics) -

[ multi modal ]

, .

! , .

2. (Exploratory Data Analysis ) - ( )

?

2. (Exploratory Data Analysis ) -

- Sequence Mining - Clustering - Classification - Topic modeling - Deep learning

[ clustering ]

3. (Hypothesis testing) -

?

-> : , ..

3. (Hypothesis testing) -

- P-value - T test, Chi square

test - Likelihood ratio - Cross validation

4. (Estimation) - ,

4. (Estimation) - ,

- Bayesian Inference - Deep Learning

5. (Data Collection) -

O

X

? SNS

3.1 Agony..

D-

Drop

..

3.2 Learn from problem-solving Gaussian Mixture Model for MUSIC ( 2012 )

Beat

,

.

+

.

3.3 Roughly saying about Statistics..

3.5 .

t

F

()

continuous discrete

:

3.5 .

t

F

()

continuous discrete

bernuill binomial

poisson

multinomial Multivariate normaml

gaussian

beta

dirichlet

Student t

Chi-square

F

Gamma

-

3.7 .

From wikipedia

..

-Welcome!

-

Q&A

Thank You