# Tag: Salford Systems (53)

**Random Forests(r), Explained**- Oct 17, 2017.

Random Forest, one of the most popular and powerful ensemble method used today in Machine Learning. This post is an introduction to such algorithm and provides a brief overview of its inner workings.**Learn How to Make Machine Learning Work (webinars every Tue in October, Live or on-demand)**- Sep 28, 2017.

To fully use machine learning, we first need to understand both the potential benefits and the techniques to create data-driven models. In this webinar series, we will show you how to easily and automatically apply complex algorithms to data in real world applications.**Webinar: Improve Your CLASSIFICATION with CART(r) and RandomForests(r), Mar 29**- Mar 27, 2017.

We discuss the advantages of tree based techniques, including automatic variable selection, variable interactions, nonlinear relationships, outliers, and missing values.**Minitab buys Salford Systems, a leading data mining innovator**- Mar 6, 2017.

Latest acquisition adds best-in-class predictive analytics tools to Minitab’s array of data-driven products and services.**Webinar: Improve Your Regression with CART and Gradient Boosting, Feb 16**- Feb 13, 2017.

Learn about a powerful tree-based machine learning algorithm called gradient boosting, which often outperforms linear regression, Random Forests, and CART.**Improve Your Regression with CART and RandomForests, Jan 26 Webinar**- Jan 23, 2017.

Learn the fundamentals of tree-based machine learning algorithms and how to easily fine tune and improve your Random Forest regression models.**The Costs of Misclassifications**- Dec 14, 2016.

Importance of correct classification and hazards of misclassification are subjective or we can say varies on case-to-case. Lets see how cost of misclassification is measured from monetary perspective.**The Evolution of Classification, Oct 19, Oct 26 Webinars**- Oct 7, 2016.

Join us for this two part webinar series on the Evolution of Classification, presented by Senior Scientist, Mikhail Golovnya.**Webinar: Modern Regression Modeling for Voter MicroTargeting, Sep 14, Sep 21**- Sep 7, 2016.

Join us for a special 2-part webinar about voting trends, and we will show how machine learning models and data science can be used in elections.**Interpretability over Accuracy**- Aug 25, 2016.

If researchers can’t understand a provided answer, it is not viable. They can’t write about techniques they don’t understand beyond “Here are the numbers. Look how pretty my model is.” Good research, that ain’t.**Improve Your Regression with Modern Regression Analysis Techniques, July 27, Aug 10 Webinars**- Jul 22, 2016.

This two part webinar will help you improve your regression using modern regression analysis techniques. July 27 (part 1) and August 10 (part 2).**From Research to Riches: Data Wrangling Lessons from Physical and Life Science**- Jun 23, 2016.

With a background in bioinformatics, Christian discusses his recent transition to the world of data science and the learning curve associated with this dynamic field.**Salford Predictive Modeler 8: Faster. More Machine Learning. Better results**- Apr 4, 2016.

Take a giant step forward with SPM 8: Download and try it for yourself just released version 8 and get better results.**Salford Systems: Software Engineer. Machine Learning algorithms. C++**- Mar 12, 2016.

Salford Systems is an advanced data mining software and consulting company, affiliated with some of the world greatest Machine Learning scientists, and leads the industry with exciting, innovative products.**New Salford Predictive Modeler 8**- Mar 1, 2016.

Salford Predictive Modeler software suite: Faster. More Comprehensive Machine Learning. More Automation. Better results. Take a giant step forward in your data science productivity with SPM 8. Download and try it today!**Salford Systems: Data Scientist, Statistician positions**- Feb 22, 2016.

Salford Systems is an advanced data mining software and consulting company, with an open, creative environment, and an international reputation for cutting-edge technology.**Jan 27 Webinar: 3 Ways to Improve your Regression, Part 2**- Jan 26, 2016.

How to take data science techniques even further to extract actionable insight and take advantage of advanced modeling features. You will walk away with several different methods to turn your ordinary regression into an extraordinary regression!**3 Ways to Improve your Regression, Jan 20 & 27 Webinars, Hands-on**- Jan 12, 2016.

Instead of proceeding with a mediocre analysis, join us for this 2-part webinar series. We will show you how modern algorithms can take your regression model to the next level and expertly handle your modeling woes**Marketing Strategies for Retail Customers Based on Predictive Behavior Models**- Nov 6, 2015.

Get a look at how a leading financial services provider used predictive analytics to deliver an effective direct marketing approach - download slides now.**Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 22 and beyond**- Sep 22, 2015.

Forecasting With Predictive Analytics, BI Personas, Data Mining - Failure to Launch, Using Data from Hadoop to Improve Your Business, Workforce Analytics, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 15 and beyond**- Sep 14, 2015.

Hadoop Guarantee, Best Practices of Data Science, Forecasting With Predictive Analytics, Data Mining - Failure to Launch, Using Data from Hadoop to Improve Your Business, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – Jul 21 and beyond**- Jul 20, 2015.

Tips/Tricks for Customer Segmentation, Data Lake - Five Tips to Navigate, Listening vs Hearing, VEDO Intent, Integrating Customer Data at Scale, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – Jul 14 and beyond**- Jul 14, 2015.

Tips/Tricks for Customer Segmentation, Data Lake - Five Tips to Navigate, Future-Proof Streaming Analytics, The CAO v. The CDO, and more.**Webinar: Tips & Tricks for Customer Segmentation, July 21**- Jul 10, 2015.

We show customer segmentation of a German banking database, using different attributes to identify segments likely to be good credit risks. We will use CART and other algorithms like gradient boosting.**Upcoming Webcasts on Analytics, Big Data, Data Science – Jun 23 and beyond**- Jun 22, 2015.

Which Data Should You Move to Hadoop, Using Data from Hadoop to Improve Your Business, Tips and Tricks for Logistic Regression, Data Mining: Failure to Launch, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – Jun 16 and beyond**- Jun 15, 2015.

Using electronic health records for better care, Using Data from Hadoop to Improve Your Business, Tips & Tricks for Logistic Regression, Data Mining: Failure to Launch, and more.**Webinar: Tips & Tricks to Improve Your Logistic Regression, June 25**- Jun 10, 2015.

Learn more advanced and intuitive machine learning techniques that improve on standard logistic regression in accuracy and other aspects. A step-by-step presentation that you can repeat on your own.**Upcoming Webcasts on Analytics, Big Data, Data Science – Jun 9 and beyond**- Jun 9, 2015.

Improve Customer Experience Management with Text Analytics, Data Mining - Failure to Launch, Why and When to Embed Business Intelligence, On-Demand RDF Graph Databases in the Cloud, By Ontotext, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – May 26 and beyond**- May 25, 2015.

The Data Lake Debate, 3 Ways to Improve Targeted Marketing, Turning Machine Data Into Intelligent Action, Data Mining - Failure to Launch, Using electronic health records for better care, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – May 19 and beyond**- May 18, 2015.

Demystify Data Flows, How Analytics Might Save Your Life, 5 Predictive Analytics Lessons, 3 Ways to Improve Targeted Marketing, Building an Analytics Team, Data Mining - Failure to Launch, and more.**Salford: 3 Ways to Improve your Targeted Marketing with Analytics, May 28**- May 11, 2015.

This webinar will show you how to optimize your targeted marketing using common analytics techniques. We will demonstrate with real-world data and give you software, data, and step-by-step instructions to enable you to do this on your own data.**Upcoming Webcasts on Analytics, Big Data, Data Science – May 12 and beyond**- May 11, 2015.

Smart Apps With Deep Learning APIs, Actionable Insights from Life Sciences and Healthcare Data, Demystify Data Flows, 5 Predictive Analytics Lessons, 3 Ways to Improve Targeted Marketing, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – May 5 and beyond**- May 4, 2015.

Making Sense of Hadoop, Data Mining - Failure to Launch, Demystify your Data Flows, 5 Lessons from a Decision Management Guru, 3 Ways to Improve Regression, and more.**Upcoming Webcasts on Analytics, Big Data, Data Science – Apr 28 and beyond**- Apr 27, 2015.

Solving Big Data Challenges, Implementing a Better Search Experience, Data Scientists Compensation, Maximizing ROI, Identifying Customers Across Platforms, The Fast Data Challenge with Michael Stonebraker, and more.**Salford Quickstart Data Mining Training in Washington, DC, May 15**- Apr 23, 2015.

Get step-by-step instruction for the most popular data mining techniques, be able to start your own data mining projects, apply your new data mining knowledge to create immediate value.**Salford Webinar: Maximizing ROI with State-of-the-art Data Science Techniques, Apr 28**- Apr 21, 2015.

ROI is a key measure for many business decisions. We will show how using state-of-the-art data science techniques, like TreeNet gradient boosting, we can optimize product promotion options and maximize revenue and wider gain.**Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost**- Feb 23, 2015.

SAS, IBM, KNIME, and RapidMiner lead in Gartner 2015 Magic Quadrant for Advanced Analytics Platforms. We analyze who gained and who lost versus last year.**Upcoming Webcasts on Analytics, Big Data, Data Science – Feb 3 and beyond**- Feb 2, 2015.

SAP HANA Launch event, Analytics/Data Science Hiring Market, Platfora, Data Mining: Failure To Launch, 3 Ways to Improve your Regression, BigML 2015 Winter Release, and more.**Webinar: 3 Ways to Improve your Regression, Feb 10**- Jan 20, 2015.

We will show how MARS regression, TreeNet gradient boosting, and Random Forests can take your regression model to the next level with modern algorithms.**Enter a KDD Cup or Kaggle Competition. You don’t need to be an expert!**- Jan 4, 2015.

The webinar will show on the example of KDD Cup 2009 how Salford TreeNet can quickly achieve a top 5 result, and how to quickly build great models even if you are not an expert.**Low-cost Salford Hands-On Data Mining Mini Training, Jan 23, Phoenix**- Dec 24, 2014.

Attend this training and you will walk away with the models you create, ready to start your own data mining projects.**Comprehensive Data Science Training by Salford Systems, Dec 3-5, Online or San Diego**- Nov 4, 2014.

Learn the basics tree-structured data mining with CART, and progress to more advanced topics including Linear, Logistic, Nonlinear, Regularized, Lasso, MARS, TreeNet (Stochastic Gradient Boosting) and RandomForests(r), including Latest Refinements and Model Compression.**Salford Comprehensive Data Science Training, Dec 3-5, San Diego or Online**- Oct 21, 2014.

Learn the basics tree-structured data mining with CART, and progress to more advanced topics including Linear, Logistic, Nonlinear, Regularized, Lasso, MARS, TreeNet (Stochastic Gradient Boosting) and RandomForests(r), including Latest Refinements and Model Compression.**Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 22 and beyond**- Sep 22, 2014.

Future of Hadoop Analytics, What Works: Open Source Analytics Software, Data Mining: Failure To Launch, Evolution of Classification, Not all Graph Databases are created equal, Best Practices for Applying Advanced Analytics in Hadoop, and more.**Hands-on Data Mining Training, New York City, Aug 22, $35 (Toronto, Detroit in Sep)**- Aug 8, 2014.

Get hands-on data mining training on topics like regression, classification, decision trees, and other techniques in this course conducted by Salford Systems.**Hands-on Data Mining Training, Boston, NYC, Toronto, Detroit, other locations, $35**- Jul 22, 2014.

Get hands-on data mining training on topics like regression, classification, decision trees, and other techniques in this course conducted by Salford Systems.**Salford Systems: Marketing Statistician**- Jul 3, 2014.

Passionate and enthusiastic about statistics and analytics, enjoy solving problems and creating educational content, have excellent communication skills and the ability to work with technical and marketing departments.**Salford Hands On Data Mining Mini Training, San Diego, April 25**- Apr 9, 2014.

Attend this mini-training to get step-by-step instruction for the most popular data mining techniques, and walk away with the models you create, ready to start your own data projects.**Introduction to Random Forests for Beginners – free ebook**- Mar 6, 2014.

Random Forests is of the most powerful and successful machine learning techniques. This free ebook will help beginners to leverage the power of Random Forests.**Low-cost Data Mining Training (Hands-On), New York City and other locations**- Feb 21, 2014.

Low cost hands-on data mining training seminars by Salford Systems. Fee includes 90-day access to the SPM Salford Predictive Modeler as well.**Data Mining for Beginners Boot Camp, Salford video series**- Jan 29, 2014.

This series shows how to easily apply SPM software suite to your predictive modeling projects, using a modern banking application as an example. This series is at the beginner level, and is perfect for first-time users or for those who need a refresher course in model building and data analysis.**Interpreting Model Performance with Cost Functions**- Jan 13, 2014.

Cost functions are critical for the correct assessment of performance of data mining and predictive models. This series goes deep into the statistical properties and mathematical understanding of each cost function and explores their similarities and differences.**Statistical Modeling: The Two Cultures, by Leo Breiman**- Nov 28, 2013.

There are two cultures in the use of statistical modeling to reach conclusions from data. One assumes that the data are generated by a given stochastic data model. The other uses algorithmic models and treats the data mechanism as unknown - read the full paper.