Acerca de este Curso
4.3
11 calificaciones
3 revisiones
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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Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Intermediate Level

Nivel intermedio

Clock

Approx. 26 hours to complete

Sugerido: 5 hours/week...
Comment Dots

English

Subtítulos: English...
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Intermediate Level

Nivel intermedio

Clock

Approx. 26 hours to complete

Sugerido: 5 hours/week...
Comment Dots

English

Subtítulos: English...

Programa - Qué aprenderás en este curso

Week
1
Clock
2 horas para completar

H2O AND THE FUNDAMENTALS

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Reading
11 videos (Total: 64 min), 4 readings, 5 quizzes
Video11 videos
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
Reading4 lecturas
Further Reading: Course Prerequisites10m
Pre-Install Summary10m
Additional Install Information10m
Further Reading: Getting Help10m
Quiz5 ejercicios de práctica
Do You Have What It Takes?10m
Quick Preinstall Check6m
Quick Install Check4m
Model types4m
Week One Exam14m
Week
2
Clock
4 horas para completar

Trees And Overfitting

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Reading
15 videos (Total: 57 min), 1 reading, 4 quizzes
Video15 videos
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 Summarym
Reading1 lectura
Further Reading: Tree Algorithms10m
Quiz3 ejercicios de práctica
Decision Trees4m
Tree Algorithms8m
On cross-validation and over-fitting18m
Week
3
Clock
2 horas para completar

LINEAR MODELS AND MORE

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Reading
9 videos (Total: 56 min), 4 readings, 3 quizzes
Video9 videos
Loading From Remote Sources6m
Exporting Data From H2O2m
Exploring With GLMs11m
Naive Bayes4m
Data Manipulation, Statistics11m
Grid Search8m
Applying Grids8m
Summarym
Reading4 lecturas
More on loading and saving10m
Further Reading: GLMs, Naive Bayes10m
Further Reading: Data Manipulation10m
Further Reading: Grid Search10m
Quiz3 ejercicios de práctica
Load/Save4m
GLMs6m
Week Three Exam16m
Week
4
Clock
4 horas para completar

Deep Learning

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Reading
11 videos (Total: 66 min), 2 readings, 6 quizzes
Video11 videos
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
Reading2 lecturas
More Neural Net Theory10m
Extension Project Ideas10m
Quiz5 ejercicios de práctica
Early Stopping6m
Binding4m
Merging4m
Deep Learning Basics6m
More Deep Learning4m

Instructor

Acerca de H2O

Preguntas Frecuentes

  • 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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