Practical Automated Machine Learning Using H2O.ai
Practical Automated Machine Learning Using H2O.ai covers in detail how H2O automates the machine learning effort and how you can use it to develop your ML systems quickly and easily. This book helps you to focus on achieving results while H2O does all the heavy lifting for you.
Offered by
Difficulty Level
Intermediate
Completion Time
13h12m
Language
English
About Book
Who Is This Book For?
This book is for engineers and data scientists who want to quickly adopt machine learning into their products without worrying about the internal intricacies of training ML models. If you're someone who wants to incorporate machine learning into your software system but don’t know where to start or don’t have much expertise in the domain of ML, then you’ll find this book useful. Basic knowledge of statistics and programming is beneficial. Some understanding of ML and Python will be helpful.
Practical Automated Machine Learning Using H2O.ai
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h12m total length
Understanding H2O AutoML Basics
Working with H2O Flow (H2O’s Web UI)
Understanding Data Processing
Understanding H2O AutoML Training and Architecture
Understanding AutoML Algorithms
Understanding H2O AutoML Leaderboard and Other Performance Metrics
Working with Model Explainability
Exploring Optional Parameters for H2O AutoML
Exploring Miscellaneous Features in H2O AutoML
Working with Plain Old Java Objects (POJOs)
Working with Model Object, Optimized (MOJO)
Working with H2O AutoML and Apache Spark
Using H2O AutoML with Other Technologies
Related Resources
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