R for Predictive Modeling- PAW Toronto

A nice workshop on using R for Predictive Modeling by Max Kuhn Director, Nonclinical Statistics, Pfizer is on at PAW Toronto.

Workshop

Monday, April 23, 2012 in Toronto
Full-day: 9:00am – 4:30pm

R for Predictive Modeling:
A Hands-On Introduction

Intended Audience: Practitioners who wish to learn how to execute on predictive analytics by way of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.”

Knowledge Level: Either hands-on experience with predictive modeling (without R) or hands-on familiarity with any programming language (other than R) is sufficient background and preparation to participate in this workshop.


What prior attendees have exclaimed


Workshop Description

This one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to methodically expose attendees to best practices driving R and its rich set of predictive modeling packages, providing hands-on experience and know-how. R is compared to other data analysis platforms, and common pitfalls in using R are addressed.

The instructor, a leading R developer and the creator of CARET, a core R package that streamlines the process for creating predictive models, will guide attendees on hands-on execution with R, covering:

  • A working knowledge of the R system
  • The strengths and limitations of the R language
  • Preparing data with R, including splitting, resampling and variable creation
  • Developing predictive models with R, including decision trees, support vector machines and ensemble methods
  • Visualization: Exploratory Data Analysis (EDA), and tools that persuade
  • Evaluating predictive models, including viewing lift curves, variable importance and avoiding overfitting

Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download.

Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.


Schedule

  • Workshop starts at 9:00am
  • Morning Coffee Break at 10:30am – 11:00am
  • Lunch provided at 12:30 – 1:15pm
  • Afternoon Coffee Break at 2:30pm – 3:00pm
  • End of the Workshop: 4:30pm

Instructor

Max Kuhn, Director, Nonclinical Statistics, Pfizer

Max Kuhn is a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He has been applying models in the pharmaceutical industries for over 15 years.

He is a leading R developer and the author of several R packages including the CARET package that provides a simple and consistent interface to over 100 predictive models available in R.

Mr. Kuhn has taught courses on modeling within Pfizer and externally, including a class for the India Ministry of Information Technology.

Source-

http://www.predictiveanalyticsworld.com/toronto/2012/r_for_predictive_modeling.php

Text Analytics World in New York

There is a 15 % discount if you want to register for Text Analytics World next month-

Use Discount Code AJAYNY11

October 19-20, 2011 at The Hilton New York

http://www.textanalyticsworld.com/newyork/2011

Text Analytics World Topics & Case Studies - Oct 19-20 in NYC

Text Analytics World NYC (tawgo.com) is the business-focused event for text analytics professionals,
managers and commercial practitioners. This conference delivers case studies, expertise and resources
to leverage unstructured data for business impact.
Text Analytics World NYC is packed with the top predictive analytics experts, practitioners, authors and
business thought leaders, including keynote addresses from Thomas Davenport, author of Competing
on Analytics: The New Science of Winning, David Gondek from IBM Research on their Jeopardy-Winning
Watson and DeepQA, and PAW Program Chair Eric Siegel, plus special sessions from industry heavy-
weights Usama Fayyad and John Elder.
CASE STUDIES:

TAW New York City will feature over 25 sessions with case studies from leading enterprises in
automotive, educational, e-commerce, financial services, government, high technology, insurance,
retail, social media, and telecom such as: Accident Fund, Amdocs, Bundle.com, Citibank, Florida State
College, Google, Intuit, MetLife, Mitchell1, PayPal, Snap-on, Socialmediatoday, Topsy, a Fortune 500
global technology company, plus special examples from U.S. government agencies DoD, DHS, and SSA.

HOT TOPICS:

TAW New York City's agenda covers hot topics and advanced methods such as churn risk detection,
customer service and call centers, decision support, document discovery, document filtering, financial
indicators from social media, fraud detection, government applications, insurance applications,
knowledge discovery, open question-answering, parallelized text analysis, risk profiling, sentiment
analysis, social media applications, survey analysis, topic discovery, and voice of the customer and other
innovative applications that benefit organizations in new and creative ways.

WORKSHOPS: TAW also features a full-day, hands-on text analytics workshop, plus several other pre-
and post-conference workshops in analytics that complement the core conference program. For more
info: www.tawgo.com/newyork/2011/analytics-workshops
For more information: tawgo.com
Download the conference preview:
Conference Preview for TAW New York, October 19-20 2011
View the agenda at-a-glance: textanalyticsworld.com/newyork/2011/agenda Register by September 2nd for Early Bird Rates (save up to $200): textanalyticsworld.com/newyork/2011/registration If you'd like our informative event updates, sign up at: http://www.textanalyticsworld.com/subscription.php To sign up for TAW group on LinkedIn: www.linkedin.com/e/gis/3869759 For inquiries e-mail regsupport@risingmedia.com or call (717) 798-3495. OTHER ANALYTICS EVENTS: Predictive Analytics World for Government: Sept 12-13 in DC – www.pawgov.com Predictive Analytics World New York City: Oct 16-21 – www.pawcon.com/nyc Text Analytics World New York City: Oct 19-20 – www.tawgo.com/nyc Predictive Analytics World London: Nov 30-Dec 1 – www.pawcon.com/london Predictive Analytics World San Francisco: March 4-10, 2012 – www.pawcon.com/sanfrancisco Predictive Analytics World Videos: Available on-demand – www.pawcon.com/video
Also has two sessions on R

Sunday, October 16, 2011


Half-day Workshop
Room: Madison

R Bootcamp
Click here for the detailed workshop description

  • Workshop starts at 1:00pm
  • Afternoon Coffee Break at 2:30pm – 3:00pm
  • End of the Workshop: 5:00pm

Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer

Top of this page ] [ Agenda overview ]

Monday, October 17, 2011


Full-day Workshop
Room: Madison

R for Predictive Modeling: A Hands-On Introduction
Click here for the detailed workshop description

  • Workshop starts at 9:00am
  • Morning Coffee Break at 10:30am – 11:00am
  • Lunch provided at 12:30 – 1:15pm
  • Afternoon Coffee Break at 2:30pm – 3:00pm
  • End of the Workshop: 4:30pm

Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer

R for Predictive Modeling:Workshop

A view of the Oakland-San Francisco Bay Bridge...
Image via Wikipedia

A workshop on using R for Predictive Modeling, by the Director, Non Clinical Stats, Pfizer. Interesting Bay Area Event- part of next edition of Predictive Analytics World

Sunday, March 13, 2011 in San Francisco

R for Predictive Modeling:
A Hands-On Introduction

Intended Audience: Practitioners who wish to learn how to execute on predictive analytics by way of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.”

Knowledge Level: Either hands-on experience with predictive modeling (without R) or hands-on familiarity with any programming language (other than R) is sufficient background and preparation to participate in this workshop.


Workshop Description

This one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to methodically expose attendees to best practices driving R and its rich set of predictive modeling packages, providing hands-on experience and know-how. R is compared to other data analysis platforms, and common pitfalls in using R are addressed.

The instructor, a leading R developer and the creator of CARET, a core R package that streamlines the process for creating predictive models, will guide attendees on hands-on execution with R, covering:

  • A working knowledge of the R system
  • The strengths and limitations of the R language
  • Preparing data with R, including splitting, resampling and variable creation
  • Developing predictive models with R, including decision trees, support vector machines and ensemble methods
  • Visualization: Exploratory Data Analysis (EDA), and tools that persuade
  • Evaluating predictive models, including viewing lift curves, variable importance and avoiding overfitting

Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download.

Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.


Schedule

  • Workshop starts at 9:00am
  • Morning Coffee Break at 10:30am – 11:00am
  • Lunch provided at 12:30 – 1:15pm
  • Afternoon Coffee Break at 2:30pm – 3:00pm
  • End of the Workshop: 4:30pm

Instructor

Max Kuhn, Director, Nonclinical Statistics, Pfizer

Max Kuhn is a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He has been apply models in the pharmaceutical industries for over 15 years.

He is a leading R developer and the author of several R packages including the CARET package that provides a simple and consistent interface to over 100 predictive models available in R.

Mr. Kuhn has taught courses on modeling within Pfizer and externally, including a class for the India Ministry of Information Technology.

 

http://www.predictiveanalyticsworld.com/sanfrancisco/2011/r_for_predictive_modeling.php

 

Search, Sports,Social Media,SlideShares, Scribd

An image of a house fly eye surface by using S...
Image via Wikipedia

Some slideshare.net presentations I really liked.

A tutorial on SEO and SEM-

Carole Ann Matignon deals with optimization and scheduling, rules in the…….NFL!

 

 

Carole, We are waiting for the sequel on  analytics on football and the beer game.

Social Media Screw-Ups

Social Media doesnt matter at all- Social Media matters a lot- Still undecided? Take a look

Slideshare is a great VISUAL interface on sharing content. I liked Google Docs embedding as well, but Matt Mullenberg and Matt Cutts seemed to have stopped talking. Mullenberg is going like Zuckenberg, not willing to align with Sergey Mikhaylovich Brin. or maybe they are afraid of Big Brother Brin. Google loves Java and Javascript (even when they are getting sued for it)- while Matt M  hates it- bad for RIA I guess.

Scribd also is a great way to share content- and probably is small enough for. WordPress.com to allow embedding

Thats the reason why I sometimes prefer Scribd for sharing my poetry to Slideshare and Google Docs. Also I like the enhanced analytics and the much easier and evolved interface for reading. Slideshare is much more successful than Scribd because it is open to sharing with everyone- scribd tries to get you to register …;)

(* Also see MIT’s beer game at http://beergame.mit.edu/ which is ahem different from Duke’s beer games).