(Raymond)

https://blogs.msdn.microsoft.com/mengtsai/

https://blogs.msdn.microsoft.com/mengtsai/

1999 M.S. Degree in Computer Science US. Interactive Inc. Sierra Systems

2005 EMBA (104)

Microsoft Azure Windows AppsKinectWindows 10Azure

Agenda

?

2000

2000~2005

DATACENTERS (CLOUD)

PC / DEVICE

DIGITAL TAPE

DVD / BLU-RAY

CD

40%

CLOUD / IoT

PC / MOBILE

10

CLOUD

MOBILE

Machine Learning?

The goal of machine learning is to program computers to use example data or past experience to solve a given problem.

Introduction to Machine Learning, 2nd Edition, MIT Press

A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E

- Tom M. Mitchell, Chair of the Machine Learning Department at CMU

?

18

?

Azure ML Machine Learning

19

?

:

Classification ()

Regression ()

Clustering ()

Density estimation

Dimensionality Reduction

(2-class)

(3)

()

http://en.wikipedia.org/wiki/Machine_learning

http://en.wikipedia.org/wiki/Machine_learning

Machine Learning ?

21

22

()

https://www.youtube.com/watch?v=zOPIvC0MlA4#t=45

https://www.youtube.com/watch?v=zOPIvC0MlA4#t=45https://www.youtube.com/watch?v=zOPIvC0MlA4#t=45https://www.youtube.com/watch?v=zOPIvC0MlA4#t=45

https://www.youtube.com/watch?v=R2mC-NUAmMk

https://www.youtube.com/watch?v=R2mC-NUAmMkhttps://www.youtube.com/watch?v=R2mC-NUAmMkhttps://www.youtube.com/watch?v=R2mC-NUAmMk

27

&

&

28

http://www.wsj.com/articles/is-the-tech-bubble-popping-ping-pong-offers-an-answer-1462286089

http://www.wsj.com/articles/is-the-tech-bubble-popping-ping-pong-offers-an-answer-1462286089

vs.

?http://demos.datasciencedojo.com/demo/titanic/

http://demos.datasciencedojo.com/demo/titanic/http://demos.datasciencedojo.com/demo/titanic/http://demos.datasciencedojo.com/demo/titanic/

1.

2.

3.

https://studio.azureml.net/community/unpack?packageUri=https%3a%2f%2fstorage.azureml.net%2fdirectories%2fc8c02ed8f99841388a460a1df0a1b6d2&communityUri=https%3a%2f%2fgallery.azureml.net%2fDetails%2f01b2765fa75147ce99679e18482d280f

https://studio.azureml.net/community/unpack?packageUri=https://storage.azureml.net/directories/c8c02ed8f99841388a460a1df0a1b6d2&communityUri=https://gallery.azureml.net/Details/01b2765fa75147ce99679e18482d280f

https://blogs.msdn.microsoft.com/mengtsai/2015/01/05/azure/

https://blogs.msdn.microsoft.com/mengtsai/2015/01/05/azure/https://blogs.msdn.microsoft.com/mengtsai/2015/01/05/azure/https://blogs.msdn.microsoft.com/mengtsai/2015/01/05/azure/

Descriptive () What happened?

Diagnostic () Why did it happen?

Predictive () What will happen?

Prescriptive () What should I do?

35

Machine Learning ?

Machine Learning

36

- ()- (/)- ()-()

in Finance

39

Financial Markets & etc. Retail Banking Insurance

/Duration

Market

Assets Price

Prediction

Social

Network

Analysis

Fraud

Detection

Risk Analysis

Compliance

&

Regulatory

Reporting

Advertising

Campaign

Optimizatio

n

News

Analysis

Customer

Loyalty &

Marketing

Improving

operational

efficiencies

Credit

Scoring

Brand

Sentiment

Analysis

Personalize

d Product

Offering

Customer

Segmentation

Reference: http://0xcode.in/big-data-in-banking

http://0xcode.in/big-data-in-banking

in Finance-

40

C (Classification )CA (Cluster Analysis )LSA (Latent Semantic Analysis )AD (Anomaly Detection )CF (Collaborative Filtering /)

(Credit Scoring)

?

1,000 (UC Irvine ) 22

41

(Credit Scoring)

SVM 72.6%

42

43

45

vs. Deep Learning vs. Machine Learning

1.

2.

Deep learning carries out the machine learning process using an artificial

neural net that is composed of a number of levels arranged in a hierarchy.

47

*2 w/ 200; 95% => 98.1% *4 w/ 200; 98.1% => 99.7%

AlphaGo (Deep Learning)

http://technews.tw/2016/01/30/google-alphago-2/

http://googleresearch.blogspot.tw/2016/01/alphago-mastering-

ancient-game-of-go.html

Decision Tree

Decision Jungle

Decision Forest

K-means

51

(k=3)

Step 1. 3 :

K-means

52

Step 2. 3

K-means

53

Step 3. 3

Step 2 & 3~