December 2016
Beginner to intermediate
298 pages
7h 19m
English
Content preview from Practical Machine Learning with H2OBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
A
- accuracy (defined), Binomial Classification
- activation functions, Activation Functions
- aggregation, Aggregating Rows
- algorithms
- ensembles, Ensembles-Categorical Ensembles
- improving results from, Helping the Models-Helping the Models
- as.h2o(), Load Directly from R
- AUC (Area Under Curve), Binomial Classification
- auto-encoder
- DL, Deep Learning Auto-Encoder-Stacked Auto-Encoder
- for training many-layered neural networks, Auto-Encoder
- stacked, Stacked Auto-Encoder-Stacked Auto-Encoder
B
- balance, of data, Split Data Already in H2O
- binomial classification
- about, Binomial Classification
- metrics for, Classification Metrics
- boosting, GBM and, Boosting-Boosting
- building energy efficiency test case
- comparison of algorithm results, Building Energy Results-Building Energy Results
- data columns, The Data Columns-The Data Columns
- data set setup and load, Setup and Load
- data sets, Data Set: Building Energy Efficiency-About the Data Set
- DL: default, Building Energy Efficiency: Default Deep Learning
- DL: results, Building Energy Results
- DL: tuned, Building Energy Efficiency: Tuned Deep Learning-Building Energy Efficiency: Tuned Deep Learning
- GBM: default, Building Energy Efficiency: Default GBM
- GBM: results, Building Energy Results
- GBM: tuned, Building Energy Efficiency: Tuned GBM-Building Energy Efficiency: Tuned GBM
- GLM: default, Building Energy Efficiency: Default GLM
- GLM: results, Building Energy Results
- GLM: tuned, Building Energy Efficiency: Tuned GLM-Building Energy Efficiency: Tuned GLM
- preliminary analysis of data
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.