December 2018
Intermediate to advanced
712 pages
15h 37m
English
book
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
by Karthik Ramasubramanian, Abhishek Singh
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Index
A
Akaike information criterion (AIC)
American statistical association (ASA)
Apache Pig
Architecture of IBM
Architectures, deep learning
CNN
GAN
RNN
Area under the curve (AUC)
Artificial intelligence (AI)
Artificial neural networks (ANN)
algorithms
evolutionary methods
expectation minimization
GEP
non-parametric methods
particle swarm optimization
simulated annealing
architecture
components
features
feed-forward back-propagation
purchase prediction
human cognitive learning
perceptron
sigmoid neurons
supervised
vs.
unsupervised neural nets
Association rule mining (ARM)
Apriori function
confidence
Eclat algorithm
lift
market basket data
recommendation algorithms
IBCF
UBCF
support
transactional data
Auto-correlation function (ACF)
Automatic grid search optimization
Auto-regressive ...
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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.