About this course: 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.
Created by: H2O
Taught by: Darren Cook
| Level | Intermediate |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
Syllabus
WEEK 1
H2O AND THE FUNDAMENTALS
11 videos, 4 readings, 3 practice quizzes
- Video: Welcome!
- Video: What's In Week One?
- Video: Need To Know
- Leitura: Further Reading: Course Prerequisites
- Teste para praticar: Do You Have What It Takes?
- Video: Preinstall #1 (with Linux)
- Video: Preinstall #2 (with Windows)
- Leitura: Pre-Install Summary
- Teste para praticar: Quick Preinstall Check
- Video: Installing H2O
- Leitura: Additional Install Information
- Video: A Quick Deep Learning!
- Video: AutoML
- Video: Types Of Models
- Teste para praticar: Model types
- Video: Where To Go With Questions
- Leitura: Further Reading: Getting Help
- Video: Summary
Graded: Quick Install Check
Graded: Week One Exam
WEEK 2
Trees And Overfitting
15 videos, 1 reading, 2 practice quizzes
- Video: Weekly Intro
- Video: Decision Trees
- Teste para praticar: Decision Trees
- Video: Random Forest
- Video: Random Forest in H2O (Iris)
- Video: GBM
- Video: GBM in H2O (Iris)
- Video: Importing From Client
- Video: Artificial Data Sets
- Video: Overfitting and Train/Valid/Test
- Video: Train/Valid/Test in H2O
- Video: GBM in H2O (artificial data)
- Video: Let's Overfit A GBM!
- Video: Cross-validation in H2O (GBM)
- Teste para praticar: On cross-validation and over-fitting
- Video: About the peer review task
- Leitura: Further Reading: Tree Algorithms
- Video: Week Two Summary
Graded: Tree Algorithms
Graded: Articial Data And Overfitting
WEEK 3
LINEAR MODELS AND MORE
9 videos, 4 readings, 2 practice quizzes
- Video: Exploring The Universe
- Video: Loading From Remote Sources
- Video: Exporting Data From H2O
- Leitura: More on loading and saving
- Teste para praticar: Load/Save
- Video: Exploring With GLMs
- Video: Naive Bayes
- Leitura: Further Reading: GLMs, Naive Bayes
- Teste para praticar: GLMs
- Video: Data Manipulation, Statistics
- Leitura: Further Reading: Data Manipulation
- Video: Grid Search
- Video: Applying Grids
- Leitura: Further Reading: Grid Search
- Video: Summary
Graded: Week Three Exam
WEEK 4
Deep Learning
11 videos, 2 readings, 4 practice quizzes
- Video: Weekly Introduction and Early Stopping
- Teste para praticar: Early Stopping
- Video: Load & Save Models
- Video: Binding data tables
- Teste para praticar: Binding
- Video: Merging and joins
- Video: Neural Networks
- Leitura: More Neural Net Theory
- Video: Deep Learning Part 1
- Video: Deep Learning Part 2
- Teste para praticar: Deep Learning Basics
- Video: Deep Learning with Grids
- Video: Regression with Deep Learning
- Teste para praticar: More Deep Learning
- Video: Introducing The Graded Task
- Video: Summary Of Week Four
- Leitura: Extension Project Ideas
Graded: Merging
Graded: Deep Learning
WEEK 5
UNSUPERVISED LEARNING
10 videos, 2 readings, 1 practice quiz
- Video: Week Five Is Unsupervised
- Video: Autoencoders
- Video: Using Autoencoders
- Teste para praticar: Autoencoders
- Video: PCA And GLRM
- Leitura: Further Reading: PCA, GLRM
- Video: Clustering, K-Means
- Leitura: Further Reading: Clustering
- Video: Data Repair #1
- Video: Data Repair #2
- Video: Hands-on Data Repair
- Video: Next Week's Project
- Video: Week Five Summary
Graded: Unsupervised Learning
Graded: Week Five Exam
WEEK 6
Everything Else!
9 videos, 2 readings, 1 practice quiz
- Video: Pulling It All Together
- Video: Ensembles
- Video: Stacked Ensembles In H2O
- Leitura: Further Reading: Ensembles
- Teste para praticar: Ensembles
- Leitura: Final Task: advice
- Video: Pojo And Mojo
- Video: Clusters
- Video: Deep Water
- Video: Driverless AI
- Video: H2O4GPU
- Video: Week Six Summary
Graded: Final Project
FAQs
How It Works
Trabalho
Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.
Ajuda dos seus colegas
Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.
Certificados
Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.
Creators
H2O
Pricing
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
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