• Nie Znaleziono Wyników

INTRODUCTION TO DATA SCIENCE

N/A
N/A
Protected

Academic year: 2021

Share "INTRODUCTION TO DATA SCIENCE"

Copied!
34
0
0

Pełen tekst

(1)

INTRODUCTION TO DATA SCIENCE

WFAiS UJ, Informatyka Stosowana II stopień studiów

1

19/12/2017

This lecture is

based on course by E. Fox and C. Guestrin, Univ of Washington

(2)

Visual product recommender

19/12/2017

2

(3)

Visual product recommender

19/12/2017

3

(4)

19/12/2017

4

Features are key to machine learning

(5)

Classifiers

19/12/2017

5

(6)

Classifiers

19/12/2017

6

(7)

19/12/2017

7

Neural networks:

learning *very*

non-linear features

(8)

Classifiers

19/12/2017

8

(9)

Classifiers

19/12/2017

9

(10)

Classifiers

19/12/2017

10

(11)

Classifiers

19/12/2017

11

(12)

Classifiers

19/12/2017

12

(13)

A neural network

19/12/2017

13

(14)

19/12/2017

14

Application of deep learning to computer vision

(15)

Deep Learning

19/12/2017

15

(16)

Deep Learning

19/12/2017

16

(17)

Deep Learning

19/12/2017

17

(18)

Deep Learning

19/12/2017

18

(19)

Deep Learning

19/12/2017

19

(20)

Deep Learning performance

19/12/2017

20

(21)

Deep Learning performance

19/12/2017

21

(22)

Deep Learning performance

19/12/2017

22

(23)

Deep learning in computer vision

19/12/2017

23

(24)

Deep learning in computer vision

19/12/2017

24

(25)

Challenges

19/12/2017

25

Year 2015

(26)

Deep learning workflow

19/12/2017

26

(27)

Deep learning workflow

19/12/2017

27

(28)

Challenges

19/12/2017

28

Year 2015

(29)

Transfer learning

19/12/2017

29

(30)

Transfer learning

19/12/2017

30

(31)

Transfer learning

19/12/2017

31

(32)

Transfer learning

19/12/2017

32

(33)

Transfer learning

19/12/2017

33

(34)

What you can do now …

19/12/2017

34

Cytaty

Powiązane dokumenty

 Personalisation: purhase history, monthly and yearly trends, etc.?. Customers who bought product A also bought

Cetinkaya-Rundel, Duke University Data Analysis and

WFAiS UJ, Informatyka Stosowana I stopień

Case studied are about building, evaluating, deploying inteligence in data analysis. Use pre-specified or develop

Cetinkaya-Rundel, Duke University Data Analysis and

Guestrin, Univ

WFAiS UJ, Informatyka Stosowana I rok studiów, I

Case studied are about building, evaluating, deploying inteligence in data analysis. Use pre-specified or develop