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Vertex AI Feature Store에 관해 알고 싶으신가요? ML 모델의 정확성을 개선할 방법을 알고 싶으신가요? 어떤 데이터 열에서 가장 유용한 특성이 나오는지 파악하려면 어떻게 해야 할까요? 특성 추출 과정에서는 좋은 특성과 나쁜 특성을 살펴보고 모델에서 이러한 특성을 적절하게 활용할 수 있도록 사전 처리하고 변환하는 방법을 알아봅니다. 이 과정은 BigQuery ML, Keras, TensorFlow를 사용한 특성 추출에 관한 콘텐츠와 실습이 포함되어 있습니다.

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What's inside

Syllabus

Module 0: 소개
이 모듈은 과정 및 과정 목표에 대한 개요를 제공합니다.
Module 1: Vertex AI Feature Store 소개
이 모듈은 Vertex AI Feature Store를 소개합니다.
Read more
Module 2: 원시 데이터와 특성
특성 추출은 ML 프로젝트 빌드 절차에서 가장 오래 걸리고 까다로운 단계인 경우가 많습니다. 특성 추출 절차에서는 원시 데이터로 시작한 후 고유 도메인 지식을 활용하여 머신러닝 알고리즘이 작동하는 특성을 생성합니다. 이 모듈에서는 좋은 특성을 만드는 요소와 ML 모델에서 이러한 특성을 표현하는 방법을 설명합니다.
Module 3: 특성 추출
이 모듈에서는 머신러닝과 통계의 차이점과 BigQuery ML 및 Keras 모두에서 특성 추출을 수행하는 방법을 살펴봅니다. 고급 수준의 특성 추출 방법도 몇 가지 설명합니다.
Module 4: 사전 처리 및 특성 만들기
이 모듈에서는 Apache Beam의 보완 기술이자 사전 처리와 특성 추출을 빌드하고 실행하는 데 도움이 되는 Dataflow에 대해 자세히 알아봅니다.
Module 5: 특성 교차 - TensorFlow PLayground
기존의 머신러닝에서 특성 교차는 그다지 중요한 역할을 하지 않았지만 최신 ML 방법에서는 특성 교차가 툴킷에서 매우 중요한 부분을 담당합니다. 이 모듈에서는 머신러닝 학습에서 특성 교차가 특히 효과적으로 작용하는 문제의 유형을 알아내는 방법을 학습합니다.
Module 6: TensorFlow Transform 소개
TensorFlow Transform(tf.Transform)은 TensorFlow를 사용해 데이터를 사전 처리할 때 필요한 라이브러리입니다. tf.Transform은 데이터 전체 전달이 필요한 사전 처리에 유용합니다. 예: - 평균 및 stdev로 입력 값 정규화 - 모든 입력 예에서 값을 확인하여 어휘 정수화 - 관찰된 데이터 배포를 기반으로 입력 버킷화 이 모듈에서는 tf.Transform의 사용 사례를 살펴봅니다.
Module 7: 요약
이 모듈은 특성 추출 과정의 요약입니다.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
이 과정의 내용은 빅데이터 ML 및 데이터 과학 전문가에게 유용합니다
이 과정은 특성 추출 이론과 응용을 포괄적으로 다룹니다
이 과정의 학습 목표는 이론적 이해를 실습에 구현하는 것을 목표로 합니다
이 과정은 TensorFlow 및 BigQuery ML과 같은 업계 표준 도구를 사용합니다
이 과정은 텍스트 자료, 실습, 시험을 포함하는 다양한 학습 자료를 제공합니다
이 과정은 업계 전문가인 Google Cloud Training이 강의합니다

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Feature Engineering - 한국어 with these activities:
지식 복습
과정을 시작하기 전에 관련 지식을 복습하여 성공적인 학습 기반을 마련합니다.
Browse courses on Vertex AI Feature Store
Show steps
  • Vertex AI Feature Store 소개 관련 자료 검토
  • 기계 학습의 기본 원리 복습
  • 빅데이터 처리와 분석 기술 복습
TensorFlow Transform 튜토리얼 탐구
데이터 전처리와 피처 엔지니어링에 대한 이해를 심화시킵니다.
Browse courses on TensorFlow Transform
Show steps
  • TensorFlow Transform GitHub 리포지토리 탐색
  • TensorFlow Transform 튜토리얼 진행
  • 실습 문제 풀어보기
Show all two activities

Career center

Learners who complete Feature Engineering - 한국어 will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their skills in statistics, programming, and data visualization to analyze data and identify trends. They use this information to make recommendations and inform decision-making. This course can help you develop the skills needed to be a successful Data Analyst. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. They use their skills in mathematics, statistics, and computer science to build models that can solve complex problems. This course can help you develop the skills needed to be a successful Machine Learning Engineer. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Data Scientist
Data Scientists are responsible for gathering, analyzing, interpreting, and presenting data. They use their skills in statistics, programming, and machine learning to extract meaningful insights from data. This course can help you develop the skills needed to be a successful Data Scientist. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Quantitative Analyst
Quantitative Analysts use their skills in mathematics, statistics, and programming to analyze financial data. They use this information to make recommendations on investments and trading strategies. This course can help you develop the skills needed to be a successful Quantitative Analyst. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Business Analyst
Business Analysts use their skills in data analysis, process improvement, and project management to help businesses improve their performance. They use this information to make recommendations on how to improve efficiency, productivity, and profitability. This course can help you develop the skills needed to be a successful Business Analyst. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their skills in computer science, programming, and mathematics to build software that meets the needs of users. This course can help you develop the skills needed to be a successful Software Engineer. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Statistician
Statisticians use their skills in mathematics, statistics, and data analysis to collect, analyze, and interpret data. They use this information to make recommendations on how to improve decision-making. This course can help you develop the skills needed to be a successful Statistician. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Operations Research Analyst
Operations Research Analysts use their skills in mathematics, statistics, and computer science to solve complex problems. They use this information to make recommendations on how to improve efficiency, productivity, and profitability. This course can help you develop the skills needed to be a successful Operations Research Analyst. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They use their skills in data engineering, data integration, and data warehousing to ensure that data is available to users in a timely and accurate manner. This course can help you develop the skills needed to be a successful Data Engineer. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge will be essential for building accurate and effective machine learning models.
Database Administrator
Database Administrators design, build, and maintain databases. They use their skills in data management, data security, and data recovery to ensure that data is available to users in a timely and accurate manner. This course may help you develop the skills needed to be a successful Database Administrator. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge may be helpful in building accurate and effective machine learning models.
Systems Analyst
Systems Analysts design, build, and maintain information systems. They use their skills in systems analysis, systems design, and systems implementation to ensure that information systems meet the needs of users. This course may help you develop the skills needed to be a successful Systems Analyst. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge may be helpful in building accurate and effective machine learning models.
Network Administrator
Network Administrators design, build, and maintain computer networks. They use their skills in network administration, network security, and network troubleshooting to ensure that networks are available to users in a timely and accurate manner. This course may help you develop the skills needed to be a successful Network Administrator. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge may be helpful in building accurate and effective machine learning models.
Computer Programmer
Computer Programmers design, write, and test computer programs. They use their skills in programming languages, software development, and software testing to ensure that software meets the needs of users. This course may help you develop the skills needed to be a successful Computer Programmer. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge may be helpful in building accurate and effective machine learning models.
Web Developer
Web Developers design, build, and maintain websites. They use their skills in web development, web design, and web programming to ensure that websites meet the needs of users. This course may help you develop the skills needed to be a successful Web Developer. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge may be helpful in building accurate and effective machine learning models.
Information Security Analyst
Information Security Analysts design, implement, and maintain security measures to protect information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They use their skills in information security, risk management, and security auditing to ensure that information systems are secure. This course may help you develop the skills needed to be a successful Information Security Analyst. You will learn how to use Vertex AI Feature Store, extract features from raw data, and pre-process and transform features. This knowledge may be helpful in building accurate and effective machine learning models.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Feature Engineering - 한국어.
이 책은 Python을 사용한 기계 학습에 대한 포괄적인 소개를 제공합니다. 특성 추출, 모델 훈련 및 평가와 같은 주제를 다룹니다.
이 책은 비즈니스 문제 해결을 위한 데이터 과학의 사용을 설명합니다. 데이터 수집, 정리 및 분석과 같은 주제를 다룹니다.
이 책은 데이터 분석 및 통계적 모델링에 대한 포괄적인 가이드를 제공합니다. 변수 선택, 차원 축소 및 모델 평가와 같은 주제를 다룹니다.
이 책은 기계 학습의 실제 응용을 설명합니다. 자연어 처리, 컴퓨터 비전 및 게임과 같은 주제를 다룹니다.
이 책은 딥러닝의 이론적 기반과 응용을 제공합니다. 뉴럴 네트워크, 합성곱 신경망 및 순환 신경망과 같은 주제를 다룹니다.
이 책은 기계 학습의 기본 원리를 설명합니다. 머신 러닝 알고리즘의 종류, 데이터 전처리 및 모델 평가와 같은 주제를 다룹니다.
이 책은 데이터 마이닝과 기계 학습에 대한 포괄적인 가이드를 제공합니다. 데이터 분석 및 시각화, 모델 훈련 및 평가와 같은 주제를 다룹니다.
이 책은 Python을 사용한 기계 학습에 대한 포괄적인 가이드를 제공합니다. 데이터 분석 및 시각화, 모델 훈련 및 평가와 같은 주제를 다룹니다.

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