비즈니스에 기계학습을 도입하고자 하는데, 데이터 준비와 모델 학습 및 배포에 관한 전문지식이 없어서 엄두가 안 나는 고객들이 계십니다. Amazon SageMaker Data Wrangler와 Autopilot을 활용하면 코드 없이 혹은 간단한 코드만으로 데이터를 준비하고 모델을 학습하고 배포하는 것이 가능합니다. 이번 세션에서 데이터 준비와 기계학습 모델을 만들고 배포하는 것이 몇 번의 클릭만으로도 가능하다는 것을 확인하시고, 바로 실무에 적용하실 수 있도록 알려드리겠습니다.

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S E O U L | M A Y 4 , 2 0 2 3

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AWS
SageMaker No/Low

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Low from AWS
- Amazon SageMaker Data Wrangler
- Amazon SageMaker AutoPilot
– Amazon SageMaker Canvas
Agenda

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SageMaker
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Low-code, no-code

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Low-code from AWS
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Amazon SageMaker
Amazon SageMaker
Data Wrangler
Amazon SageMaker
Autopilot

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© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
SageMaker Data Wrangler

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Amazon SageMaker
Amazon SageMaker
Data Wrangler
Amazon SageMaker
Autopilot

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Data Wrangler –
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Amazon SageMaker Data Wrangler
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(1)
• Amazon S3, Athena, Redshift, EMR
• Snowflake, Databricks, Delta Lake
• 40+ SaaS
• CSV, Parquet, JSON, ORC
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• Amazon S3, Athena, Redshift, EMR
• Snowflake, Databricks, Delta Lake
• 40+ SaaS
• CSV, Parquet, JSON, ORC
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• S3 , SQL
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• PySpark

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• S3
• Jupyter Notebook, Python
• SageMaker Pipeline
• SageMaker Feature Store

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(5)
• S3
• Jupyter Notebook, Python
• SageMaker Pipeline
• SageMaker Feature Store
• (Job)

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© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
SageMaker Autopilot

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Amazon SageMaker
Amazon SageMaker
Data Wrangler
Amazon SageMaker
Autopilot

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• 혼동행렬, ROC

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(4) 모델 배포
실시간 예측
• Autopilot이 SageMaker Endpoint로
실시간 예측용 배포
• Endpoint UI나 API로 추론 가능

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(4) 모델 배포
실시간 예측
• Autopilot이 SageMaker Endpoint로
실시간 예측용 배포
• Endpoint UI나 API로 추론 가능
배치 예측
• 배치 변형으로 전체 데이터셋으로 예측
• 학습한 모델로 배치 훈련을 생성,
결과 저장할 S3 경로 지정

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© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
SageMaker Canvas

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No-code

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No-code
Amazon SageMaker Canvas
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데이터 준비하기
다양한 소스의 데이터를 드래그 앤 드롭으로 결합
• 로컬 디스크
• Amazon S3, RedShift
• Snowflake
• 다른 소스도 곧 추가 예정

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데이터 준비하기
다양한 소스의 데이터를 드래그 앤 드롭으로 결합
• 로컬 디스크
• Amazon S3, RedShift
• Snowflake
• 다른 소스도 곧 추가 예정
비즈니스 친화적 인터페이스로
• 데이터를 직관적으로 이해하고 준비 가능

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모델 생성 및 평가하기
클릭만으로 데이터에 맞는 ML 모델 자동생성

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모델 생성 및 평가하기
클릭만으로 데이터에 맞는 ML 모델 자동생성
메트릭과 피처 중요도로 예측 결과를 이해

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모델 생성 및 평가하기
클릭만으로 데이터에 맞는 ML 모델 자동생성
메트릭과 피처 중요도로 예측 결과를 이해
데이터 사이언스팀에 모델을 손쉽게 공유

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모델 추론하기
다양한 시나리오를 실험

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Canvas 다양한 사례
세일즈/마케팅
1. 구매 전환율
2. 구매량 예측
3. 고객 이탈 경향
4. 고객 생애 가치 예측
5. 마케팅 혼합 모델링
금융/회계
1. 신용 등급 평가
2. 연체금 예측
3. 이상거래 탐지
4. 포트폴리오 최적화
5. 미지급금 지출 자동화
생산/물류
1. 수요 예측
2. 재고 관리
3. 배달 시간 예측
4. 예측 정비

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© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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No/Low-code from AWS
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Amazon SageMaker
Canvas
Amazon SageMaker Studio
Amazon SageMaker
Data Wrangler
Amazon SageMaker
Autopilot

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→ Data Wrangler
→ AutoPilot
→ Canvas
SageMaker

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© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
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