머신 러닝 프로젝트 구조화 from Coursera

딥 러닝 전문화 과정의 세 번째 과정에서는 성공적인 머신 러닝 프로젝트를 구축하고 머신 러닝 프로젝트 리더로서 의사 결정을 연습하는 방법을 배우게 됩니다.

이 과정을 마치면 머신 러닝 시스템의 오류를 진단할 수 있고, 오류를 줄이기 위한 전략의 우선 순위를 지정하고, 일치하지 않는 training/test set와 같은 복합적인 ML 설정을 이해하며 휴먼 레벨의 성능에 필적 및/또는 능가하는 ML 설정을 이해하고, 종단 간 학습, 전이 학습, 멀티 태스크 러닝을 적용할 수 있게 됩니다.

이는 또한 기본적인 머신 러닝 지식이 있는 학습자를 위한 독립형 과정입니다. 이 과정에서는 많은 딥 러닝 제품을 구축하고 출시한 Andrew Ng의 경험을 활용합니다. AI 팀의 방향을 제시할 수 있는 기술 리더가 되고 싶다면 이 과정은 수년간의 ML 업무 경험을 거친 후에 얻을 수 있는 ‘산업 경험’을 제공해드립니다.

딥 러닝 전문화 과정은 딥 러닝의 기능, 도전 과제 및 결과를 이해하고 첨단 AI 기술 개발에 참여할 수 있도록 준비하는 데 도움이 되는 기본 프로그램입니다. 머신 러닝을 업무에 적용하고, 기술 경력의 수준을 높이고, AI 세계의 최종적인 단계를 밟을 수 있는 지식과 기술을 쌓을 수 있는 경로를 제공합니다.

What's inside

Syllabus

ML 전략(1)

목표 설정을 위한 전략적 지침을 구현하고 휴먼 레벨의 성능을 적용하여 주요 우선 순위를 정의함으로써 ML 프로덕션 워크플로를 간소화하고 최적화합니다.

ML 전략(2)

시간을 절약할 수 있는 오류 분석 절차를 개발하여 추구할 가치가 가장 높은 옵션을 평가하고 데이터를 분할하는 방법과 멀티 태스크, 전이 및 종단간 딥 러닝을 사용할 시기에 대한 직관력을 가지게 됩니다.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

이 과정은 머신러닝과 딥러닝의 기본 지식이 있는 학습자를 대상으로 합니다

이 과정은 안드루 응(Andrew Ng)가 강의합니다. 그는 딥러닝 분야의 저명한 전문가입니다

이 과정은 성공적인 머신러닝 프로젝트를 구축하고 머신러닝 프로젝트 리더로서 의사 결정을 연습하는 데 중점을 둡니다

이 과정을 통해 학습자는 머신러닝 시스템의 오류를 진단하고, 오류를 줄이기 위한 전략을 우선 순위를 정하고, 휴먼 레벨의 성능에 필적하고/또는 능가하는 ML 설정을 이해할 수 있습니다

이 과정은 종단 간 학습, 전이 학습, 멀티 태스크 러닝과 같은 최신 머신러닝 기법을 소개합니다

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 머신 러닝 프로젝트 구조화 with these activities:

공개 자료 정리

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ML 관련 문서, 강의, 자습서를 검토하고 정리하여 단일 소스에서 쉽게 참조할 수 있도록 합니다.

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다양한 소스에서 관련 자료를 수집합니다.
주제별로 자료를 분류하고 정리합니다.
요약과 핵심 개념 강조 표시를 추가합니다.

ML 라이브러리 튜토리얼 완료

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TensorFlow 또는 PyTorch와 같은 ML 라이브러리의 기본 기능과 사용법을 익힙니다.

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라이브러리에 대한 공식 튜토리얼을 찾습니다.
데이터 전처리, 모델 구축, 평가에 대한 지침을 따릅니다.
제공된 예제와 실습을 통해 개념을 강화합니다.

스터디 그룹 토론

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동료 학습자와 개념, 숙제, 프로젝트를 토론하여 이해와 사고 방식을 확장합니다.

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스터디 그룹을 결성합니다.
정기적으로 만나서 주요 주제를 토론합니다.
숙제와 과제를 공유하고 피드백을 제공합니다.
시험과 평가를 함께 준비합니다.

Two other activities

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ML 대회 참여

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현실적인 ML 과제에 도전하고, 동료들과 경쟁하고, 실무적 기술을 향상시킵니다.

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관련 ML 대회를 찾습니다.
팀을 구성하거나 개인적으로 참가합니다.
데이터 세트를 분석하고 모델을 훈련합니다.
솔루션을 제출하고 순위를 확인합니다.
다른 참가자의 접근 방식을 연구합니다.

최종 프로젝트: ML 시스템 개발

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ML 이론과 기술을 실제 산업 문제에 적용하여 포괄적인 이해와 실무적 기술을 개발합니다.

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산업 문제를 식별합니다.
데이터 세트를 수집하고 전처리합니다.
적절한 ML 알고리즘을 선택하고 훈련합니다.
시스템을 평가하고 개선합니다.
문서를 작성하고 발표를 준비합니다.

Career center

Learners who complete 머신 러닝 프로젝트 구조화 will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning algorithms to solve complex problems. This course can help Machine Learning Engineers build a foundation in organizing and managing machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course can also help Machine Learning Engineers develop the skills they need to work independently and as part of a team.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. This course can help Data Scientists develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course can also help Data Scientists learn how to work independently and as part of a team.

See salaries and explore the career path for Data Scientist

Product Manager

Product Managers are responsible for the development and launch of new products. This course can help Product Managers develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course can also help Product Managers learn how to work independently and as part of a team.

See salaries and explore the career path for Product Manager

Software Engineer

Software Engineers design, develop, and maintain software systems. This course can help Software Engineers build a foundation in organizing and managing machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course may also help Software Engineers develop the skills they need to work independently and as part of a team.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course can help Data Analysts develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course can also help Data Analysts develop the skills they need to work independently and as part of a team.

See salaries and explore the career path for Data Analyst

Consultant

Consultants help businesses and organizations solve problems and improve performance. This course can help Consultants develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course may also help Consultants develop the skills they need to work independently and as part of a team.

See salaries and explore the career path for Consultant

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course may help Quantitative Analysts develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. However, this course may not cover the specific mathematical and statistical models used by Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Technical Writer

Technical Writers create documentation and other materials to help users understand and use products and services. This course may help Technical Writers develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. However, this course may not cover the specific writing and communication skills needed by Technical Writers.

See salaries and explore the career path for Technical Writer

Teacher

Teachers teach students in classrooms and other settings. This course may help Teachers develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. However, this course may not cover the specific teaching and communication skills needed by Teachers.

See salaries and explore the career path for Teacher

Researcher

Researchers conduct studies to answer questions and develop new knowledge. This course may help Researchers develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. However, this course may not cover the specific research methods and techniques used by Researchers.

See salaries and explore the career path for Researcher

Project Manager

Project Managers plan, organize, and execute projects. This course can help Project Managers develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course can also help Project Managers learn how to work independently and as part of a team.

See salaries and explore the career path for Project Manager

Trainer

Trainers teach others how to use products, services, and skills. This course may help Trainers develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. However, this course may not cover the specific teaching and communication skills needed by Trainers.

See salaries and explore the career path for Trainer

Business Analyst

Business Analysts help businesses identify and solve problems. This course can help Business Analysts develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. This course may also help Business Analysts develop the skills they need to work independently and as part of a team.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to improve the efficiency of organizations. This course may help Operations Research Analysts develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. However, this course may not cover the specific mathematical and analytical methods used by Operations Research Analysts.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. This course may help Statisticians develop the skills they need to organize and manage machine learning projects. They will learn how to set goals, prioritize tasks, and track progress. However, this course may not cover the specific statistical methods used by Statisticians.

See salaries and explore the career path for Statistician

머신 러닝 프로젝트 구조화

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