Acerca de este curso: 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.
Creada por: H2O
Enseñado por: Darren Cook
| Nivel | Intermediate |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
Programa
SEMANA 1
H2O AND THE FUNDAMENTALS
11 videos, 4 readings, 3 practice quizzes
- Vídeo: Welcome!
- Vídeo: What's In Week One?
- Vídeo: Need To Know
- Reading: Further Reading: Course Prerequisites
- Practice Quiz: Do You Have What It Takes?
- Vídeo: Preinstall #1 (with Linux)
- Vídeo: Preinstall #2 (with Windows)
- Reading: Pre-Install Summary
- Practice Quiz: Quick Preinstall Check
- Vídeo: Installing H2O
- Reading: Additional Install Information
- Vídeo: A Quick Deep Learning!
- Vídeo: AutoML
- Vídeo: Types Of Models
- Practice Quiz: Model types
- Vídeo: Where To Go With Questions
- Reading: Further Reading: Getting Help
- Vídeo: Summary
Calificado: Quick Install Check
Calificado: Week One Exam
SEMANA 2
Trees And Overfitting
15 videos, 1 reading, 2 practice quizzes
- Vídeo: Weekly Intro
- Vídeo: Decision Trees
- Practice Quiz: Decision Trees
- Vídeo: Random Forest
- Vídeo: Random Forest in H2O (Iris)
- Vídeo: GBM
- Vídeo: GBM in H2O (Iris)
- Vídeo: Importing From Client
- Vídeo: Artificial Data Sets
- Vídeo: Overfitting and Train/Valid/Test
- Vídeo: Train/Valid/Test in H2O
- Vídeo: GBM in H2O (artificial data)
- Vídeo: Let's Overfit A GBM!
- Vídeo: Cross-validation in H2O (GBM)
- Practice Quiz: On cross-validation and over-fitting
- Vídeo: About the peer review task
- Reading: Further Reading: Tree Algorithms
- Vídeo: Week Two Summary
Calificado: Tree Algorithms
Calificado: Articial Data And Overfitting
SEMANA 3
LINEAR MODELS AND MORE
9 videos, 4 readings, 2 practice quizzes
- Vídeo: Exploring The Universe
- Vídeo: Loading From Remote Sources
- Vídeo: Exporting Data From H2O
- Reading: More on loading and saving
- Practice Quiz: Load/Save
- Vídeo: Exploring With GLMs
- Vídeo: Naive Bayes
- Reading: Further Reading: GLMs, Naive Bayes
- Practice Quiz: GLMs
- Vídeo: Data Manipulation, Statistics
- Reading: Further Reading: Data Manipulation
- Vídeo: Grid Search
- Vídeo: Applying Grids
- Reading: Further Reading: Grid Search
- Vídeo: Summary
Calificado: Week Three Exam
SEMANA 4
Deep Learning
11 videos, 2 readings, 4 practice quizzes
- Vídeo: Weekly Introduction and Early Stopping
- Practice Quiz: Early Stopping
- Vídeo: Load & Save Models
- Vídeo: Binding data tables
- Practice Quiz: Binding
- Vídeo: Merging and joins
- Vídeo: Neural Networks
- Reading: More Neural Net Theory
- Vídeo: Deep Learning Part 1
- Vídeo: Deep Learning Part 2
- Practice Quiz: Deep Learning Basics
- Vídeo: Deep Learning with Grids
- Vídeo: Regression with Deep Learning
- Practice Quiz: More Deep Learning
- Vídeo: Introducing The Graded Task
- Vídeo: Summary Of Week Four
- Reading: Extension Project Ideas
Calificado: Merging
Calificado: Deep Learning
SEMANA 5
UNSUPERVISED LEARNING
10 videos, 2 readings, 1 practice quiz
- Vídeo: Week Five Is Unsupervised
- Vídeo: Autoencoders
- Vídeo: Using Autoencoders
- Practice Quiz: Autoencoders
- Vídeo: PCA And GLRM
- Reading: Further Reading: PCA, GLRM
- Vídeo: Clustering, K-Means
- Reading: Further Reading: Clustering
- Vídeo: Data Repair #1
- Vídeo: Data Repair #2
- Vídeo: Hands-on Data Repair
- Vídeo: Next Week's Project
- Vídeo: Week Five Summary
Calificado: Unsupervised Learning
Calificado: Week Five Exam
SEMANA 6
Everything Else!
9 videos, 2 readings, 1 practice quiz
- Vídeo: Pulling It All Together
- Vídeo: Ensembles
- Vídeo: Stacked Ensembles In H2O
- Reading: Further Reading: Ensembles
- Practice Quiz: Ensembles
- Reading: Final Task: advice
- Vídeo: Pojo And Mojo
- Vídeo: Clusters
- Vídeo: Deep Water
- Vídeo: Driverless AI
- Vídeo: H2O4GPU
- Vídeo: Week Six Summary
Calificado: Final Project
Preguntas Frecuentes
Cómo funciona
Coursework
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Creadores
H2O
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
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