Website Polls PoweredBy MicroPoll
Friday, October 15, 2010
Subscribe to:
Post Comments (Atom)
skip to main |
skip to sidebar
Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment.
Hosted by Dean Abbott, Abbott Analytics
Applied Predictive Analytics
Contributors
Our Web Sites
Posts
Smart Data Collective
Data Mining Blogs and Sites
Data Mining Conferences
Labels
algorithms
(2)
analytics
(1)
art
(1)
baseball
(3)
big data
(2)
bioinformatics
(1)
books
(3)
business
(1)
Business analytics
(2)
business intelligence
(4)
business objectives
(1)
business understanding
(1)
career
(1)
careers
(1)
chart
(1)
classification
(2)
competition
(1)
competitions
(1)
computer science
(1)
conferences
(4)
contest
(1)
CRISP-DM
(1)
critical junctures
(1)
Data evaluation
(1)
data mining
(18)
data mining books
(4)
data mining competition
(1)
data mining conferences
(4)
data mining contest
(1)
data mining data
(1)
data mining degree
(1)
data mining education
(1)
data mining perceptions
(1)
data mining software
(2)
data mining survey
(1)
data mining training
(1)
data mining users
(1)
data mining vs. statistics
(1)
data preparation
(4)
data reduction
(1)
data science
(1)
data selection
(1)
Data understanding
(2)
data visualization
(2)
decision trees
(1)
decisions
(1)
distributions
(1)
DIY
(1)
dm radio
(1)
Do
(1)
Do Not
(1)
documentation
(1)
Dorian Pyle
(1)
due diligence
(1)
economics
(1)
eigenanalysis
(1)
ensembles
(1)
error metrics
(1)
ethics
(1)
feature selection
(1)
flash versus substance
(1)
fundamentals
(1)
graph
(1)
graphics
(3)
graphing
(1)
graphs
(1)
hate
(1)
humor
(2)
idempotent
(1)
idempotnence
(1)
insurance
(1)
integration
(1)
job
(1)
jobs
(2)
Kaggle
(1)
KDD
(2)
link analysis
(2)
literature
(1)
logistic regression
(1)
Mac-PC compatibility
(1)
machine learning
(1)
missing data
(2)
missing values
(2)
model assessment
(1)
model performance
(1)
model selection
(3)
modeling
(3)
morality
(1)
MSE
(1)
open source
(1)
organizational
(1)
orgranizations
(1)
outliers
(1)
parody
(1)
PCA
(1)
plot
(1)
Powerpoint
(1)
practice
(1)
practitioner
(1)
prediction
(1)
predictive
(1)
predictive analytics
(2)
predictive analytics conference
(1)
Predictive Analytics World
(1)
principal component
(1)
principal components analysis
(1)
privacy
(2)
problem deifition
(1)
programming
(2)
R
(1)
random
(1)
rare events
(1)
regular expressions
(1)
Rexer Analytics
(1)
risk
(1)
ROC
(1)
sampling
(3)
science
(1)
skills
(1)
software
(5)
spam
(1)
speaking
(1)
special values
(1)
statistical significance
(1)
statistics
(5)
survey
(1)
survey analysis
(1)
testing
(1)
text mining
(2)
theology
(1)
theorist
(1)
theory
(2)
torture
(1)
trendiness
(1)
trends
(3)
uplift
(1)
webinars
(1)
whimsical
(1)
Insurance
Popular Posts
-
I’ve been reminded recently of the overlap between business intelligence and predictive analytics. Of course any reader of this blog (or at... -
A question about K-means clustering in Clementine was posted here . I thought I knew the answer, but took the opportunity to prove it to mys... -
Depending on whose definition one reads, the list of activities which comprise data mining will vary, but the first two items are always the...
-
Context Most introductory data mining texts include substantial coverage of model testing. Various methods of assessing true model perform...
-
In Part I, I explained one problem with overfitting the data: estimates of the target variable in regions without any training data can be ...
No comments:
Post a Comment