The Road to Machine Learning Engineer from Data Scientist

Machine Learning Casual Talks #7
https://mlct.connpass.com/event/104874/

Transcript

1. View Slide

2. View Slide

3. 
   
   

   View Slide

4. LINE DEVELOPER DAY
   • A
   • A
   •
   https://linedevday.linecorp.com/jp/2018/
   

   View Slide

5. 
   
   

   View Slide

6. 
   

   View Slide

7. 
   •N L D :@
   • T
   • E I
   •
   7
   

   View Slide

8. 
   

   View Slide

9. DataLabs
   •
   •
   •
   •
   N I
   •
   • LE
   

   View Slide

10. in Data Labs
    
    
    
    
    
    
    
    
    
    
    
    

    View Slide

11. 
    

    View Slide

12. 
    

    View Slide

13. 
    • 741,-<6+38$D?BR-<29*
    /:;*=L&! $
    • #%TA0.<5GXF@'NP
    $ Y& H>(U)
    • MIS741,-<6+38)
    
    O&
    • QC"JVK
    V(EW
    

    View Slide

14. 
    • c
    )A d
    • Nc cR a c
    Vw x C
    c aVc nle nr o
    ))+ iB
    • c V c
    E E
    • V c
    E E
    

    View Slide

15. 
    
    • !$(
    • '#%&
    • # % (
    "
    https://www.recruit.co.jp/newsroom/2018/0426_18161.html
    

    View Slide

16. 
    
    •
    •
    •
    !
    0
    

    View Slide

17. 
    
    https://www.jil.go.jp/kokunai/statistics/timeseries/html/g0301.html
    

    View Slide

18. "! ,4(
    •
    
    
    
    
    
    https://www.recruit.co.jp/newsroom/2018/0426_18161.html
    7-/8
    %$ 2
    16
    
    3
    *.)
    '50+
    

    View Slide

19. 
    
    • 2 8 (
    • 0 4 2
    http://wesmckinney.com/pages/about.html
    From August 2007 to July 2010, I worked on the front office quant research
    team at AQR Capital Management, a large quantitative investment manager
    in Greenwich, CT. During this time, I led a very successful effort to migrate
    research and production model building and research processes to the
    Python programming language. I started building pandas on April 6, 2008, as
    part of a skunkworks effort to reproduce some econometric research in
    Python. As part of my work, we formed a new Research Development team
    for the global macro group to drive software innovation in the front office.
    

    View Slide

20. 
    https://www.nikkei.com/article/DGXMZO37559930Z01C18A1000000/
    

    View Slide

21. 
    •
    
    

    View Slide

22. 
    
    • !
    • "
    #
    Lutz, Mark. Learning Python: Powerful Object-Oriented Programming. “ O‘Reilly Media, Inc.
    

    View Slide

23. 
    
    •
    
    
    
    • /
    •
    •
    • /
    

    View Slide

24. 
    
    • +&*'#,
    SV--0P :!!
    "2 #,
    • $.%-3B5Q LKFT
    8G
    • />;NRU)(6@A
    IEC
    4?1T3B=7MOJ
    
    

    View Slide

25. →
    •
    •
    l a !
    • i RV S
    N
    • ts
    NG
    

    View Slide

26. →
    • 1
    • S W 0 G
    2
    • W P A
    C 2 2 2
    4
    • S W
    • @4 2 4
    

    View Slide

27. 
    
    https://www.slideshare.net/RecruitLifestyle/cet-capture-everything
    

    View Slide

28. 
    
    • ! %
    •
    
    
    • %
    %
    U % X
    % X
    

    View Slide

29. → DataLabs
    •
    
    •
    
    
    https://www.ipsj.or.jp/event/sj/sj2019/Bigdata.html
    

    View Slide

30. → DataLabs
    •
    &%*
    
    
    • (') -!
    ,+ "$#
    •
    
    

    View Slide

31. How LINE Corp Use to Compete in a Data-Driven World
    •&$
    (
    •#%"!*)
    '
    •
    
    
    
    
    

    View Slide

32. Ad
    Something
    • N B
    A
    • 0
    ()
    ()
    • 1 &
    He, Xinran, et al. "Practical lessons from predicting clicks on ads at facebook." Proceedings of the Eighth
    International Workshop on Data Mining for Online Advertising. ACM, 2014.
    

    View Slide

33. 
    •
    O
    
    •
    !
    
    
    
    • K
    •
    

    View Slide

34. THANK YOU
    

    View Slide