KDnuggets : News : 2005 : n02 : item8 < PREVIOUS | NEXT >

Courses

From: Amy Baldwin
Date: 12 Jan 2005
Subject: Leverage the Power of Data Mining, Salford's Recommended Training and Conferences 2005

Leverage the Power of Data Mining with Salford Systems' Recommended Training and Conferences in Palo Alto, New York, Madrid, Singapore, Minneapolis, Chicago, Washington DC, and San Diego.

Contact: Amy Baldwin, abaldwin@salford-systems.com or (619) 543-8880. Detailed Training Information: http://www.salford-systems.com/servicestraining.php

CONFERENCES / WORKSHOPS: REAL-WORLD CASE STUDY PRESENTATIONS
http://www.salforddatamining.com
New York, NY, March 28-30, 2005 AND Madrid, Spain, May 5, 2005

2005 TRAINING LOCATIONS:
New York, Madrid, Singapore, Minneapolis, Chicago, Washington DC, and San Diego

Salford Systems offers an ongoing series of data mining training seminars for CART, MARS and other innovative tools. Companies can receive training at their own sites or send representatives to one of our seminars listed below. We are known for our crystal clear instruction and the wealth of real world consulting experience we bring to the classroom. Expect to pick up tips and advice you will never find in books or articles; bring your own data if you can.

HANDS-ON COURSES 2005:

  • Introduction to Data Mining With CART Decision Trees
  • Introduction to Predictive Modeling with MARS Automated Non-linear Regression
  • Hands-on Advanced CART and Hybrid Modeling Techniques
  • Hands-on Introduction to Revolutionary New Contributions in Data Mining: Introducing Jerome Friedman's TreeNet and Leo Breiman's RandomForests

RECOMMENDED SHORT COURSE:
Statistical Learning and Data Mining, by Trevor Hastie and Robert Tibshirani of Stanford University, Date: February 24 & 25, 2005, Venue: Sheraton Hotel, Palo Alto, California.

Drs. Hastie and Tibshirani offer a broad overview of the field for technically oriented modelers and analysts. Their coverage is vendor neutral but they devote time to discussion of several Salford products including CART(R), MARS(R), TreeNet(tm) and RandomForests(tm). See: http://www-stat.stanford.edu/~hastie/mrc.html for more detailed information.

If you have any questions, please do not hesitate to contact us.

Best regards,
Amy Baldwin


KDnuggets : News : 2005 : n02 : item8 < PREVIOUS | NEXT >

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