カッコをつけきれない私の機械学習 -My machine learning that I can't show off-

JAWS DAYS 2019のLT大会でのスライドです。
機械学習できるようになりたい。

This is the slide of JAWS DAYS 2019 LT.
I want to do with machine learning.

Transcript

1. Χ οί Λ ͭ ͚ ͖ Ε ͳ ͍ ࢲ ͷ 
 ػ ց ֶ श M Y M A C H I N E L E A R N I N G T H AT I C A N ’ T S H O W O F F K A N A K I TA G A WA
2. AT F I R S T…
3. T H E D E TA I L O F T H I S LT C U T S B E C A U S E O F T I M E C O N S T R A I N T S I’ll talk 30% of that I want to talk.
4. I F Y O U WA N T T O 
 H E A R M O R E
5. P L E A S E C O M E T O J AW S - U G K O B E .
6. Welcome to the crazy group @JAWS-UG KOBE Facebook group
7. A G E N D A •Who am I? •LAST YEAR •What did I do for machine learning? •How to use AWS SageMaker •Let’s try
8. W H O A M I ?
9. K A N A K I TA G A WA • Nickname:Tiger
 #MakikomiTiger • Kansai University student
 3rd grade
 (major:media art) • Internship @ Serverworks • I want to be friend with AWS Lambda and Educate
10. L A S T Y E A R W H AT D I D I D O ?
11. .BS   JAWS DAYS 2018
12. A F T E R T H E D AY, 
 M Y L I F E B E G A N T O C H A N G E .
13. @JAWS DAYS @re:Invent Taking Photos
14. I H A D 
 M A C H I N E L E A R N I N G T R A I N I N G C L A S S . Because of kind teacher
15. I WA N T T O S AY “ I C A N D O W I T H M A C H I N E L E A R N I N G . ” I think the words cool.
16. J U S T D O I T ! !
17. W H AT D I D I D O W I T H M A C H I N E L E A R N I N G ?
18. • Having machine learning training class • Supervised/Unsupervised learning • Doing assignment with the book “Machine Learning with Python (O’REILLY)” • Using iris dataset I think it difficult.
19. W H AT I S 
 I R I S D ATA S E T ? •Be distributed in UCI Machine Learning Repository •Iris petal length and width, and calyx length and width •The 3 type(setosa, virginica, versicolor)*50 samples
20. 3 T Y P E S
21. O N E T I M E , I WAT C H E D T H E S I T E O F T H E D ATA S E T.
22. T H I S I S P E R H A P S T H E B E S T K N O W N D ATA B A S E T O B E F O U N D I N T H E PAT T E R N R E C O G N I T I O N L I T E R AT U R E . https://archive.ics.uci.edu/ml/datasets/iris
23. I R I S D ATA S E T ? I S N ’ T I T B A S I C ? I said I do with Iris dataset
 @SOME JAWS I think it difficult.
24. T H E B A S I S I S I M P O R TA N T. I can’t show off.
25. M A K E T H E C O U R S E C O N T E N T E A S I E R USE Amazon SageMaker
26. G E N E R A L F L O W O F M A C H I N E L E A R N I N G    Make Sample data training of the model deploy the model
27. A M A Z O N S A G E M A K E R • Preprocessing sample data on Jupyter notebook • You can use the algorithm Amazon SageMaker offer. • You can push request to model for inference use boto or high revel Python library • Host model, separate
28. L E T ’ S T RY.
29. I H AV E N ’ T U S E D A M A Z O N S A G E M A K E R .
30. AT F I R S T, R E A D A N D T RY T U T O R I A L 
 ( U S E M N I S T D ATA S E T ) .
31. I T R I E D T O D O L I K E T H I S T U T O R I A L . B U T I C A N ’ T. Maybe, I can’t understand it well.
32. I S E A R C H F O R 
 “ I R I S D ATA S E T 
 A W S S A G E M A K E R ”
33. @AWS document https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/tf- examples.html
34. T H E B A S I S I S I M P O R TA N T. I can’t show off.
35. J U S T D O I T ! ! with document
36. A F T E R M A K E N O T E B O O K I N S TA N C E Do Initializing variables
37. C O N T E N U E https://docs.aws.amazon.com/ja_jp/sagemaker/latest/ dg/tf-example1-train.html
38. M O D U L E N O T F O U N D E R R O R : N O M O D U L E N A M E D ' T E N S O R F L O W ' Error message
39. I D I D A C C O R D I N G T O T H E D O C U M E N T… ?
40. S A M E P R O B L E M S
41. T H E S O L U T I O N
42. W H E R E W I L L I W R I T E … ?
43. I F O U N D I T.
44. T E R M I N A L I S H E R E ! ! !
45. Y E S , Y E S ! 
 Y O U C A N D O I T ! ! !
46. T RY A G A I N https://docs.aws.amazon.com/ja_jp/sagemaker/latest/ dg/tf-example1-train.html
47. Error message AGAIN
49. I T R I E D T O S E E O T H E R PA G E .
50. A C O L L E C T I O N O F A M A Z O N S A G E M A K E R S A M P L E N O T E B O O K S .
51. WAT C H N O T E B O O K
52. Look carefully
53. I M I S S E D N O T E B O O K .
54. C H A N G E A N D D O I T.
55. I T M O V E S ! ! ! ! !
56. M A K E T E N S O R F L O W C L A S S I N S TA N C E
57. G E T T H E I N F O R M AT I O N O F T H E T R A I N I N G J O B
58. D E P L O Y T H E M O D E L
59. AT L A S T…
60. I N O T I C E D .
61. I ’ M S O R RY…
62. I S H O U L D C H E C K C A R E F U L LY .
63. W E ’ R E WA I T I N G F O R C H A L L E N G E R .
64. I’m looking for job . Please talk with me. I want to provide a service
 that does not concern
 the country and sex of the person using it.
65. T H A N K Y O U F O R L I S T E N I N G ! ! ! @MakikomiTiger Kana Kitagawa