이 강좌에 대하여

최근 조회 17,000
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 19시간 필요
영어
자막: 영어
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 19시간 필요
영어
자막: 영어

강사

제공자:

H2O 로고

H2O

강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 2시간 필요

H2O AND THE FUNDAMENTALS

완료하는 데 2시간 필요
11개 동영상 (총 64분), 4 개의 읽기 자료, 5 개의 테스트
11개의 동영상
What's In Week One?2m
Need To Know5m
Preinstall #1 (with Linux)7m
Preinstall #2 (with Windows)4m
Installing H2O4m
A Quick Deep Learning!19m
AutoML6m
Types Of Models7m
Where To Go With Questions2m
Summary1m
4개의 읽기 자료
Further Reading: Course Prerequisites10m
Pre-Install Summary10m
Additional Install Information10m
Further Reading: Getting Help10m
5개 연습문제
Do You Have What It Takes?10m
Quick Preinstall Check6m
Quick Install Check4m
Model types4m
Week One Exam14m
2

2

완료하는 데 4시간 필요

Trees And Overfitting

완료하는 데 4시간 필요
15개 동영상 (총 57분), 1 개의 읽기 자료, 4 개의 테스트
15개의 동영상
Decision Trees3m
Random Forest2m
Random Forest in H2O (Iris)4m
GBM2m
GBM in H2O (Iris)3m
Importing From Client4m
Artificial Data Sets6m
Overfitting and Train/Valid/Test4m
Train/Valid/Test in H2O3m
GBM in H2O (artificial data)4m
Let's Overfit A GBM!4m
Cross-validation in H2O (GBM)7m
About the peer review task3m
Week Two Summary44
1개의 읽기 자료
Further Reading: Tree Algorithms10m
3개 연습문제
Decision Trees4m
Tree Algorithms8m
On cross-validation and over-fitting18m
3

3

완료하는 데 2시간 필요

LINEAR MODELS AND MORE

완료하는 데 2시간 필요
9개 동영상 (총 56분), 4 개의 읽기 자료, 3 개의 테스트
9개의 동영상
Loading From Remote Sources6m
Exporting Data From H2O2m
Exploring With GLMs11m
Naive Bayes4m
Data Manipulation, Statistics11m
Grid Search8m
Applying Grids8m
Summary50
4개의 읽기 자료
More on loading and saving10m
Further Reading: GLMs, Naive Bayes10m
Further Reading: Data Manipulation10m
Further Reading: Grid Search10m
3개 연습문제
Load/Save4m
GLMs6m
Week Three Exam16m
4

4

완료하는 데 4시간 필요

Deep Learning

완료하는 데 4시간 필요
11개 동영상 (총 66분), 2 개의 읽기 자료, 6 개의 테스트
11개의 동영상
Load & Save Models1m
Binding data tables6m
Merging and joins3m
Neural Networks6m
Deep Learning Part 19m
Deep Learning Part 210m
Deep Learning with Grids11m
Regression with Deep Learning7m
Introducing The Graded Task3m
Summary Of Week Four1m
2개의 읽기 자료
More Neural Net Theory10m
Extension Project Ideas10m
5개 연습문제
Early Stopping6m
Binding4m
Merging4m
Deep Learning Basics6m
More Deep Learning4m

검토

PRACTICAL MACHINE LEARNING ON H2O의 최상위 리뷰

모든 리뷰 보기

자주 묻는 질문

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.