October 2021
Intermediate to advanced
128 pages
1h 59m
English
book
Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
by Tshepo Chris Nokeri
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Index
A
Accelerated failure time method
Apache Spark
AutoML method
H2O
preprocessing tasks
B
Big data
business
customer relationships
decision making
ETL
features
product development
warehousing
C
Categories
Cluster centers
Cluster methods
Cox Proportional Hazards method
D
Data-driven organizations
Decision tree
Deep belief networks
Deep learning (DL)
Dimension reducers
DL frameworks, Keras
E
Elbow curve
Ensemble methods
F
findspark framework
G
Gaussian distribution
Gradient boosting methods
H2O framework
PySpark
XGBoost
GraphX
H, I, J
H2OAutoML
H2O framework
H2O logistic regression method
Hadoop Distributed File System (HDF)
Hadoop File System (HDFS)
K
Keras
k-means method
H2O framework
PySpark framework
L
Lifeline Cox Proportional Hazards method
Linear regression method
Logistic regression method ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.