Posts Tagged ‘ data mining ’

Canberra Data Miners: Seminar on Text, Knowledge and Information Extraction, by Dr Lizhen Qu (NICTA), Canberra, 4:30-5:30pm, Tuesday 1 Sept

August 24, 2015
By
Canberra Data Miners: Seminar on Text, Knowledge and Information Extraction, by Dr Lizhen Qu (NICTA), Canberra, 4:30-5:30pm, Tuesday 1 Sept

Topic: Text, Knowledge, and Information Extraction Speaker: Dr. Lizhen Qu, Researcher at NICTA Organizer: Canberra Data miners Meetup Group Date and time: 4:30-5:30pm, Tuesday 1 Sept Location: Teal Room of Inspire Centre, University of Canberra, Building 25, University of Canberra, … Continue reading →

Read more »

Kickin’ it with elastic net regression

August 20, 2015
By
Kickin’ it with elastic net regression

With the kind of data that I usually work with, overfitting regression models can be a huge problem if I'm not careful. Ridge regression is a really effective technique for thwarting overfitting. It does this by penalizing the L2 norm… Continue reading →

Read more »

Slides of 10+ excellent tutorials at KDD 2015: Spark, graph mining and many more

August 17, 2015
By
Slides of 10+ excellent tutorials at KDD 2015: Spark, graph mining and many more

by Yanchang Zhao RDataMining.com I attended the KDD 2015 conference in Sydney last week. At the conference, there were more than 10 tutorials and I went to two of them, which are 1) Graph-Based User Behavior Modeling: From Prediction to … Continue reading →

Read more »

R, Python, and SAS: Getting Started with Linear Regression

August 17, 2015
By
R, Python, and SAS: Getting Started with Linear Regression

Consider the linear regression model, $$ y_i=f_i(\boldsymbol{x}|\boldsymbol{\beta})+\varepsilon_i, $$ where $y_i$ is the response or the dependent variable at the $i$th case, $i=1,\cdots, N$ and the predictor or the independent variable is the $\boldsymbol{x}$ term defined in the mean function $f_i(\boldsymbol{x}|\boldsymbol{\beta})$. For simplicity, consider the following simple linear regression (SLR) model, $$ y_i=\beta_0+\beta_1x_i+\varepsilon_i. $$ To obtain the (best) estimate of $\beta_0$ and $\beta_1$, we solve for the least residual sum of…

Read more »

www2.rdatamining.com: a mirror site of RDataMining.com for Chinese users

August 5, 2015
By
www2.rdatamining.com: a mirror site of RDataMining.com for Chinese users

RDataMining.com now has a mirror website at http://www2.rdatamining.com. Users in China can download RDataMining documents, code and data at above mirror site, if no access to http://www.rdatamining.com. Note that RDataMining.com will still be the primary site and please visit www2.RDataMining.com … Continue reading →

Read more »

Call for participation: AusDM 2015, Sydney, 8-9 August

July 23, 2015
By
Call for participation: AusDM 2015, Sydney, 8-9 August

************************************************************* The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8–9 August 2015 URL: http://ausdm15.ausdm.org/ ************************************************************* The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data … Continue reading →

Read more »

R and Data Mining workshop at Deakin University

May 25, 2015
By
R and Data Mining workshop at Deakin University

I will run a workshop on R and Data Mining for students in the Master of Business Analytics course at Deakin University in Melbourne on Thursday 28 May. The workshop will cover: – Introduction to Data Mining with R and … Continue reading →

Read more »

sklearn DecisionTree plot example needs pydotplus

April 26, 2015
By

In Python, sklearn (scikit-learn)'s DecisionTree example uses pydot for plotting the generated tree: @here.But for Python 3, pydot has some issues with the string from dot_data.getvalue(), for example it will report "TypeError: startswith first arg mus...

Read more »

AusDM 2015 submission deadline extended to Thursday 30 April

April 20, 2015
By
AusDM 2015 submission deadline extended to Thursday 30 April

The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8–9 August 2015 (co-located with SIGKDD’15) URL: http://ausdm15.ausdm.org/ The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It … Continue reading →

Read more »

Seminar of IAPA Canberra Chapter: Big Data in the Social Sciences, Wednesday 29 April

April 20, 2015
By
Seminar of IAPA Canberra Chapter: Big Data in the Social Sciences, Wednesday 29 April

Date: Wednesday 29 April Time: 5.45pm for a 6pm start Cost: Nil Where: SAS Offices, 12 Moore Street, Canberra, ACT 2600 RSVP link: http://www.iapa.org.au/Event/ACTChapterEvent29AprilBigDataInSocialSciences Join us for our next ACT Chapter Event on the 29th of April. We have guest … Continue reading →

Read more »


Subscribe

Email:

  Subscribe