December 2024
Intermediate to advanced
170 pages
4h 11m
English
book
Machine Learning in Transportation
by Niharika Dayyala, Nivedya Madankara Kottayi, Rajib Basu Mallick
Content preview from Machine Learning in Transportation
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Index
-
- 3 sima rule
-
- Accuracy
- Adjusted r square
- Aggregation
- ANOVA
- Artificial Neural Network, ANN
- Average linkage
- Average
-
- Bag of words
- Bar Chart
- Bayes classifier
- Bayes theorem
- Bias
- Binning
- Binomial
- Boxplot
-
- Categorical data
- Central limit theorem
- Centroids/centroid
- Chi-square test
- Classification
- Cluster analysis
- Cluster dendrogram
- Cluster plot
- Clustering
- CNN
- Coefficient of determination
- Coefficient of variation
- Column chart
- Column space
- Complete linkage
- Confusion matrix
- Continuous data
- Corpus
- Correlation
- Counting
- Covariance
- Cross validation
- Cross validation
-
- Data cleaning
- Data exploration
- Data imputation
- Data transformation
- Data visualization
- Data wrangling
- Decision tree
- Deep learning
- Dendrogram
- Descriptive statistics
- Dimension ...
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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.