課程信息
4.3
11 個評分
3 個審閱
In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under....
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100% 在線課程

立即開始,按照自己的計劃學習。
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Intermediate Level

中級

Clock

Approx. 26 hours to complete

建議:5 hours/week...
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English

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Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Intermediate Level

中級

Clock

Approx. 26 hours to complete

建議:5 hours/week...
Comment Dots

English

字幕:English...

教學大綱 - 您將從這門課程中學到什麼

Week
1
Clock
完成時間為 2 小時

H2O AND THE FUNDAMENTALS

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Reading
11 個視頻(共 64 分鐘), 4 個閱讀材料, 5 個測驗
Video11 個視頻
Welcome!2分鐘
What's In Week One?2分鐘
Need To Know5分鐘
Preinstall #1 (with Linux)7分鐘
Preinstall #2 (with Windows)4分鐘
Installing H2O4分鐘
A Quick Deep Learning!19分鐘
AutoML6分鐘
Types Of Models7分鐘
Where To Go With Questions2分鐘
Summary1分鐘
Reading4 個閱讀材料
Further Reading: Course Prerequisites10分鐘
Pre-Install Summary10分鐘
Additional Install Information10分鐘
Further Reading: Getting Help10分鐘
Quiz5 個練習
Do You Have What It Takes?10分鐘
Quick Preinstall Check6分鐘
Quick Install Check4分鐘
Model types4分鐘
Week One Exam14分鐘
Week
2
Clock
完成時間為 4 小時

Trees And Overfitting

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Reading
15 個視頻(共 57 分鐘), 1 個閱讀材料, 4 個測驗
Video15 個視頻
Decision Trees3分鐘
Random Forest2分鐘
Random Forest in H2O (Iris)4分鐘
GBM2分鐘
GBM in H2O (Iris)3分鐘
Importing From Client4分鐘
Artificial Data Sets6分鐘
Overfitting and Train/Valid/Test4分鐘
Train/Valid/Test in H2O3分鐘
GBM in H2O (artificial data)4分鐘
Let's Overfit A GBM!4分鐘
Cross-validation in H2O (GBM)7分鐘
About the peer review task3分鐘
Week Two Summary分鐘
Reading1 個閱讀材料
Further Reading: Tree Algorithms10分鐘
Quiz3 個練習
Decision Trees4分鐘
Tree Algorithms8分鐘
On cross-validation and over-fitting18分鐘
Week
3
Clock
完成時間為 2 小時

LINEAR MODELS AND MORE

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Reading
9 個視頻(共 56 分鐘), 4 個閱讀材料, 3 個測驗
Video9 個視頻
Loading From Remote Sources6分鐘
Exporting Data From H2O2分鐘
Exploring With GLMs11分鐘
Naive Bayes4分鐘
Data Manipulation, Statistics11分鐘
Grid Search8分鐘
Applying Grids8分鐘
Summary分鐘
Reading4 個閱讀材料
More on loading and saving10分鐘
Further Reading: GLMs, Naive Bayes10分鐘
Further Reading: Data Manipulation10分鐘
Further Reading: Grid Search10分鐘
Quiz3 個練習
Load/Save4分鐘
GLMs6分鐘
Week Three Exam16分鐘
Week
4
Clock
完成時間為 4 小時

Deep Learning

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Reading
11 個視頻(共 66 分鐘), 2 個閱讀材料, 6 個測驗
Video11 個視頻
Load & Save Models1分鐘
Binding data tables6分鐘
Merging and joins3分鐘
Neural Networks6分鐘
Deep Learning Part 19分鐘
Deep Learning Part 210分鐘
Deep Learning with Grids11分鐘
Regression with Deep Learning7分鐘
Introducing The Graded Task3分鐘
Summary Of Week Four1分鐘
Reading2 個閱讀材料
More Neural Net Theory10分鐘
Extension Project Ideas10分鐘
Quiz5 個練習
Early Stopping6分鐘
Binding4分鐘
Merging4分鐘
Deep Learning Basics6分鐘
More Deep Learning4分鐘

關於 H2O

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

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