Your Complete Guide to Predictive Analytics World – Oct 29-Nov 2 in New York City

[unable to retrieve full-text content]Predictive Analytics World for Business is slated for Oct 29-Nov 2 in New York City. See for yourself precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling and machine learning, and the kind of business results they achieve.
Original Post: Your Complete Guide to Predictive Analytics World – Oct 29-Nov 2 in New York City

4 Major Trends Influencing the 2017 Predictive Analytics Hiring Market

[unable to retrieve full-text content]We examine the implications of trends in hiring market, including the growth of quantitative Initiatives, blurring of the lines between Predictive Analytics and Data Science Professionals, and more .
Original Post: 4 Major Trends Influencing the 2017 Predictive Analytics Hiring Market

Predicting State Healthcare Quality – at Predictive Analytics World Healthcare – Oct 29 – Nov 2

[unable to retrieve full-text content]In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare in New York, Oct 29–Nov 2, we asked Feras Batarseh, Research Assistant Professor, George Mason University a few questions about incorporating predictive analytics into healthcare.
Original Post: Predicting State Healthcare Quality – at Predictive Analytics World Healthcare – Oct 29 – Nov 2

Using Machine Learning to Predict and Explain Employee Attrition

[unable to retrieve full-text content]Employee attrition (churn) is a major cost to an organization. We recently used two new techniques to predict and explain employee turnover: automated ML with H2O and variable importance analysis with LIME.
Original Post: Using Machine Learning to Predict and Explain Employee Attrition

Understanding Machine Learning Algorithms

[unable to retrieve full-text content]Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, SAS data scientist describes the foundations for some of today’s popular algorithms.
Original Post: Understanding Machine Learning Algorithms

Featurizing images: the shallow end of deep learning

by Bob Horton and Vanja Paunic, Microsoft AI and Research Data Group Training deep learning models from scratch requires large data sets and significant computational reources. Using pre-trained deep neural network models to extract relevant features from images allows us to build classifiers using standard machine learning approaches that work well for relatively small data sets. In this context, a deep learning solution can be thought of as incorporating layers that compute features, followed by layers that map these features to outcomes; here we’ll just map the features to outcomes ourselves. We explore an example of using a pre-trained deep learning image classifier to generate features for use with traditional machine learning approaches to address a problem the original model was never trained on (see the blog post “Image featurization with a pre-trained deep neural network model” for other examples).…
Original Post: Featurizing images: the shallow end of deep learning

Exclusives from The Predictive Analytics Times – “Everybody Lies” Book Excerpt

[unable to retrieve full-text content]Subscribe to The Predictive Analytics Times, the premier resource that delivers timely, and find a PAW event that will fit your calendar and specific needs. Sign up with code PATIMES17 for 15% off two day and combo passes.
Original Post: Exclusives from The Predictive Analytics Times – “Everybody Lies” Book Excerpt

How Booking.com’s data scientist uses predictive analytics – PAW interview

[unable to retrieve full-text content]Lukas Vermeer will speak at the upcoming Predictive Analytics World for Business, 11-12 October in London. His Keynote will focus on new perspectives on the Data Science challenges we face today.
Original Post: How Booking.com’s data scientist uses predictive analytics – PAW interview

How Booking.com’s data scientist uses predictive analytics – PAW interview

[unable to retrieve full-text content]Lukas Vermeer will speak at the upcoming Predictive Analytics World for Business, 11-12 October in London. His Keynote will focus on new perspectives on the Data Science challenges we face today.
Original Post: How Booking.com’s data scientist uses predictive analytics – PAW interview