The do’s and don’ts of data mining and predictive modeling from experts in the field.]]>

The do’s and don’ts of data mining and predictive modeling from experts in the field.]]>

In this 10-part video series we discuss the concept of cost functions, which are directly related to the performance of data mining and predictive models. We go deep into the statistical properties and mathematical understanding of each cost function and explore their similarities and differences. Cost functions are important because there are many ways to design a machine learning algorithm, as well as interpret its performance. This cost functions series will help the analyst discover the underpinnings of the algorithms and usefulness of each algorithm’s functionality. Following this series you will have a deep understanding of a slew of cost functions available for classification and regression models, as well as interpret your predictive models from an expert’s point of view. ]]>

In this 10-part video series we discuss the concept of cost functions, which are directly related to the performance of data mining and predictive models. We go deep into the statistical properties and mathematical understanding of each cost function and explore their similarities and differences. Cost functions are important because there are many ways to design a machine learning algorithm, as well as interpret its performance. This cost functions series will help the analyst discover the underpinnings of the algorithms and usefulness of each algorithm’s functionality. Following this series you will have a deep understanding of a slew of cost functions available for classification and regression models, as well as interpret your predictive models from an expert’s point of view. ]]>

Watch the video series: https://salford-systems.wistia.com/medias/khutf815bh A question we hear time and again is "how does your data mining software determine the best model?" In order to shed some light on this, a well as provide an in-depth analysis for those who want to take it a step farther, we have created a detailed video analysis of how the ’best model’ is chosen. The simple answer is: it depends. What are cost functions? Cost functions (a.k.a loss functions) are a way to help the data modeler solve a supervised learning problem, either classification or regression. The ’fit’ of the response surface on the data available will associate a cost of the event that occurs. In an optimization example, you would want to minimize your cost.]]>

Watch the video series: https://salford-systems.wistia.com/medias/khutf815bh A question we hear time and again is "how does your data mining software determine the best model?" In order to shed some light on this, a well as provide an in-depth analysis for those who want to take it a step farther, we have created a detailed video analysis of how the ’best model’ is chosen. The simple answer is: it depends. What are cost functions? Cost functions (a.k.a loss functions) are a way to help the data modeler solve a supervised learning problem, either classification or regression. The ’fit’ of the response surface on the data available will associate a cost of the event that occurs. In an optimization example, you would want to minimize your cost.]]>

View video series: http://salford-systems.wistia.com/projects/y9800y60es This infographic will walk you through the basic steps of building your first predictive model with the SPM data mining software suite.]]>

View video series: http://salford-systems.wistia.com/projects/y9800y60es This infographic will walk you through the basic steps of building your first predictive model with the SPM data mining software suite.]]>

This is designed for the beginner or someone new to Salford Systems’ data mining products. These videos skip over the theoretical background of each data mining product and show you how to: • Import a dataset and select a data mining engine for model building • Configure the basic model setup parameters • Build a model with each core data mining product in the SPM software suite, and • Interpret the output and model performance ]]>

This is designed for the beginner or someone new to Salford Systems’ data mining products. These videos skip over the theoretical background of each data mining product and show you how to: • Import a dataset and select a data mining engine for model building • Configure the basic model setup parameters • Build a model with each core data mining product in the SPM software suite, and • Interpret the output and model performance ]]>

http://1.salford-systems.com/blog/bid/324960/How-To-Convince-Your-Boss-You-Need-Data-Mining-Training-infographic Salford Systems’ annual data mining training course will be available to attendees via live web-stream – making it easier for data scientists to attend this content-rich training course without the hassle of travel. Check out this infographic for data mining training details!]]>

http://1.salford-systems.com/blog/bid/324960/How-To-Convince-Your-Boss-You-Need-Data-Mining-Training-infographic Salford Systems’ annual data mining training course will be available to attendees via live web-stream – making it easier for data scientists to attend this content-rich training course without the hassle of travel. Check out this infographic for data mining training details!]]>

An introduction to Random Forests decision tree ensembles by Dr. Adele Cutler, Random Forests co-creator.]]>

An introduction to Random Forests decision tree ensembles by Dr. Adele Cutler, Random Forests co-creator.]]>

9 data mining challenges from data scientists like you and how to overcome them with predictive modeling software]]>

9 data mining challenges from data scientists like you and how to overcome them with predictive modeling software]]>

Famous words from statisticians and/or about statistics, data, predictive modeling, and data mining.]]>

Famous words from statisticians and/or about statistics, data, predictive modeling, and data mining.]]>

data mining challenges that real data scientists have confessed including missing data and data analysis]]>

data mining challenges that real data scientists have confessed including missing data and data analysis]]>

Familiarize yourself with CART Decision Tree technology in this beginner’s tutorial using a telecommunications example dataset from the 1990s. By the end of this tutorial you should feel comfortable using CART on your own with sample or real-world data.]]>

Familiarize yourself with CART Decision Tree technology in this beginner’s tutorial using a telecommunications example dataset from the 1990s. By the end of this tutorial you should feel comfortable using CART on your own with sample or real-world data.]]>

A guide to using CART Classification and Regression Trees for the experienced data miner or data scientist.]]>

A guide to using CART Classification and Regression Trees for the experienced data miner or data scientist.]]>

This contest is for students, professors, post-doctoral candidates, and employees of academic institutions. Help us to educate tomorrow’s data scientists. Submit a video (10 minutes or less) showing how you are using the SPM software suite on real-world data. Registrants will have access to the software for 90 days at no charge. ]]>

This contest is for students, professors, post-doctoral candidates, and employees of academic institutions. Help us to educate tomorrow’s data scientists. Submit a video (10 minutes or less) showing how you are using the SPM software suite on real-world data. Registrants will have access to the software for 90 days at no charge. ]]>

]]>

]]>

What higher education is doing and can do with data mining and predictive analytics software.]]>

What higher education is doing and can do with data mining and predictive analytics software.]]>

]]>

]]>

]]>

]]>

Understand CART decision tree pros/cons, how TreeNet stochastic gradient boosting ca n help overcome single-tree challenges, and what the advantages are when using CART and TreeNet in combination for predictive modeling success.]]>

Understand CART decision tree pros/cons, how TreeNet stochastic gradient boosting ca n help overcome single-tree challenges, and what the advantages are when using CART and TreeNet in combination for predictive modeling success.]]>

data mining software "The SPM software Suite" version 7.0]]>

data mining software "The SPM software Suite" version 7.0]]>

]]>

]]>

]]>

]]>

]]>

]]>