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ML Pipelines on Google Cloud - 한국어
Google Cloud Training
Google Cloud Training
이 과정에서는 Google Cloud에서 최신 ML 파이프라인 개발을 담당하는 ML 엔지니어와 트레이너로부터 유익한 지식을 배웁니다. 초반에 진행되는 몇 개 모듈에서는 Google의 TensorFlow 기반 프로덕션 머신러닝 플랫폼으로서 ML 파이프라인과 메타데이터를 관리할 수 있는 TensorFlow Extended(TFX)에 대해 다룹니다. 파이프라인 구성요소와 TFX를 사용한 파이프라인 조정을 알아봅니다. 지속적 통합과 지속적 배포를 통해 파이프라인을 자동화하는 방법과 ML 메타데이터를 관리하는 방법도 배웁니다. 그런 다음 주제를 전환하여 TensorFlow, PyTorch, scikit-learn, xgboost 등 여러 ML 프레임워크에서 ML 파이프라인을 자동화하고 재사용하는 방법을 설명합니다. 또한 Google Cloud의 또 다른 도구인 Cloud Composer를 사용하여 지속적 학습 파이프라인을 조정하는 방법도 알아봅니다. 마지막으로 MLflow를 사용하여 머신러닝의 전체 수명 주기를 관리하는 방법을 살펴봅니다.
Register for this course and see more details by visiting:
OpenCourser.com/course/3flqj1/ml
What's inside
Syllabus
소개
이 모듈에서 제공하는 온라인 과정:
TFX 파이프라인 소개
이 모듈에서는 TensorFlow Extended(TFX)를 소개하고 TFX 개념과 구성요소를 설명합니다.
Read more
Syllabus
소개
이 모듈에서 제공하는 온라인 과정:
TFX 파이프라인 소개
이 모듈에서는 TensorFlow Extended(TFX)를 소개하고 TFX 개념과 구성요소를 설명합니다.
Read more
TFX를 사용한 파이프라인 조정
이 모듈에서 다루는 내용:
커스텀 구성요소 및 TFX 파이프라인용 CI/CD
TFX 메타데이터
이 모듈에서는 TFX 메타데이터를 사용한 아티팩트 관리에 대해 설명합니다.
다양한 SDK, KubeFlow, AI Platform Pipelines로 지속적 학습
이 모듈에서는 다양한 SDK, KubeFlow, AI Platform Pipelines를 사용한 지속적 학습에 대해 설명합니다.
Cloud Composer를 사용한 지속적 학습 파이프라인
이 모듈에서는 Cloud Composer를 이용한 지속적 학습에 대해 설명합니다.
Mlflow를 사용한 ML 파이프라인
이 모듈에서는 MLflow와 해당 구성요소를 소개합니다.
요약
이 모듈에서는 과정 내용을 요약합니다.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
실무에서 표준인 TensorFlow를 다룹니다
업계 인정 강사인 Google Cloud Training에서 교육합니다
ML 파이프라인과 메타데이터 관리용 플랫폼인 TensorFlow Extended(TFX)를 소개합니다
빠르게 변화하는 업계 유도를 위한 지속적 학습에 대해 설명합니다
다양한 ML 프레임워크를 통한 ML 파이프라인 자동화 및 재사용 방법을 다룹니다
MLflow를 사용하여 머신러닝 전체 수명 주기를 관리하는 방법을 설명합니다
Save this course
Save ML Pipelines on Google Cloud - 한국어 to your list so you can find it easily later:
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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 ML Pipelines on Google Cloud - 한국어 with these
activities:
ML 파이프라인 구성 요소 구현 연습하기
Show steps
이 연습을 통해 TFX 구성 요소를 사용하여 ML 파이프라인을 구현하는 방법을 직접 경험할 수 있습니다.
Show steps
-
TFX 라이브러리 설치하고 구성 요소 가져오기
-
기본 파이프라인 구성 요소 구현하기(예: 데이터 로더, 데이터 변환기)
-
구성 요소 연결하고 파이프라인 실행하기
Show all one activities
ML 파이프라인 구성 요소 구현 연습하기
Show steps
이 연습을 통해 TFX 구성 요소를 사용하여 ML 파이프라인을 구현하는 방법을 직접 경험할 수 있습니다.
Show steps
Show steps
Show steps
- TFX 라이브러리 설치하고 구성 요소 가져오기
- 기본 파이프라인 구성 요소 구현하기(예: 데이터 로더, 데이터 변환기)
- 구성 요소 연결하고 파이프라인 실행하기
Show all one activities
Career center
Learners who complete ML Pipelines on Google Cloud - 한국어 will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning systems. They work with data scientists to identify business problems that can be solved with machine learning, and then develop and implement the necessary ML solutions. This course can help you build the skills needed to design and develop ML systems, such as data engineering, model training and evaluation, and system deployment.
Data Scientist
Data Scientist
Data Scientists are responsible for building and deploying machine learning models to solve business problems. They gather, clean, and analyze data to identify patterns and trends, and use this information to develop predictive models. This course can help you develop the skills needed to build and deploy ML models, such as data preprocessing, feature engineering, and model training and evaluation.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify patterns and trends. They use this information to make recommendations to businesses on how to improve their operations. This course can help you develop the skills needed to collect, clean, and analyze data, such as data mining, data visualization, and statistical analysis.
Research Analyst
Research Analyst
Research Analysts are responsible for conducting research and analyzing data to make recommendations on investment decisions. They work with stakeholders to understand research needs, and then develop and implement research strategies that meet those needs. This course can help you develop the skills needed to conduct research and analyze data to make recommendations on investment decisions, such as research design, data analysis, and investment management.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. They work with stakeholders to understand business needs, and then develop and implement solutions that meet those needs. This course can help you develop the skills needed to analyze business processes and identify opportunities for improvement, such as business process modeling, requirements analysis, and solution design.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software systems. They work with stakeholders to understand business requirements, and then design and implement software solutions that meet those requirements. This course can help you build the skills needed to design and develop software systems, such as software architecture, design patterns, and software testing.
Information Technology Manager
Information Technology Manager
Information Technology Managers are responsible for planning, organizing, and directing the information technology operations of an organization. They work with stakeholders to define information technology goals, develop information technology plans, and manage information technology risks. This course can help you develop the skills needed to plan, organize, and direct information technology operations, such as information technology planning, information technology management, and information technology risk management.
Human Resources Manager
Human Resources Manager
Human Resources Managers are responsible for developing and managing human resources policies and procedures. They work with stakeholders to understand human resources needs, and then develop and implement human resources strategies that meet those needs. This course can help you develop the skills needed to develop and manage human resources policies and procedures, such as human resources planning, human resources management, and human resources compliance.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and managing marketing campaigns. They work with stakeholders to understand marketing goals, and then develop and implement marketing strategies that meet those goals. This course can help you develop the skills needed to develop and manage marketing campaigns, such as marketing planning, marketing research, and marketing communications.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations on investment decisions. They work with stakeholders to understand financial needs, and then develop and implement financial strategies that meet those needs. This course can help you develop the skills needed to analyze financial data and make recommendations on investment decisions, such as financial modeling, financial analysis, and investment management.
Product Manager
Product Manager
Product Managers are responsible for developing and managing products. They work with stakeholders to understand customer needs, and then develop and implement product strategies that meet those needs. This course can help you develop the skills needed to develop and manage products, such as product planning, product roadmapping, and product marketing.
Operations Manager
Operations Manager
Operations Managers are responsible for planning, organizing, and directing the operations of an organization. They work with stakeholders to define operational goals, develop operational plans, and manage operational risks. This course can help you develop the skills needed to plan, organize, and direct operations, such as operations planning, operations management, and operations risk management.
Consultant
Consultant
Consultants are responsible for providing advice and guidance to organizations on a variety of topics. They work with stakeholders to understand business needs, and then develop and implement strategies that meet those needs. This course can help you develop the skills needed to provide advice and guidance to organizations, such as problem solving, critical thinking, and communication.
Sales Manager
Sales Manager
Sales Managers are responsible for developing and managing sales teams. They work with stakeholders to understand sales goals, and then develop and implement sales strategies that meet those goals. This course can help you develop the skills needed to develop and manage sales teams, such as sales planning, sales forecasting, and sales management.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project scope, develop project plans, and manage project risks. This course can help you develop the skills needed to plan, execute, and close projects, such as project planning, project scheduling, and project risk management.
For more career information including salaries, visit:
OpenCourser.com/course/3flqj1/ml
Reading list
We've selected seven 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
ML Pipelines on Google Cloud - 한국어.
Covers the fundamentals of building ML pipelines, including data preprocessing, feature engineering, and model training.
Covers a wide range of Python recipes for building and deploying ML models.
Provides a comprehensive overview of Python for ML, including data preprocessing, modeling, and evaluation.
Covers a wide range of ML algorithms and techniques, using Scikit-Learn, Keras, and TensorFlow.
Save
Provides a comprehensive overview of deep learning, including its history, key concepts, and applications.
Provides a rigorous mathematical treatment of ML, covering topics such as probability, statistics, and optimization.
Provides a comprehensive overview of statistical learning, including linear regression, classification, and clustering.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3flqj1/ml
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Effort
3 weeks of study, 6-8 hours/week
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
한국어
Transcript
English
Good to know
실무에서 표준인 TensorFlow를 다룹니다
업계 인정 강사인 Google Cloud Training에서 교육합니다
ML 파이프라인과 메타데이터 관리용 플랫폼인 TensorFlow Extended(TFX)를 소개합니다
빠르게 변화하는 업계 유도를 위한 지속적 학습에 대해 설명합니다
다양한 ML 프레임워크를 통한 ML 파이프라인 자동화 및 재사용 방법을 다룹니다
MLflow를 사용하여 머신러닝 전체 수명 주기를 관리하는 방법을 설명합니다
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