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predictive model
Machine Learning: An In-Depth Guide – Model Performance and Error Analysis
Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the fourth article in a five-part series about machine learning. In this article, we will... Read more
Machine Learning: An In-Depth Guide – Model Evaluation, Validation, Complexity, and Improvement
Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the third article in a five-part series about machine learning. In this article, we’ll continue... Read more
Machine Learning: An In-Depth Guide – Data Selection, Preparation, and Modeling
Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the second article in a five-part series about machine learning. In this article, we will... Read more
Stacking models for improved predictions
If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predictive models for improved accuracy which will creep your score up in the leader board. While it is widely used, there are only a few resources that I am aware of where... Read more
In this post we will describe how to evaluate a predictive model. Why bother creating complex predictive models if 5% of the customers will churn anyway? Because a predictive model will rank our clients based on the probability that they  will abandon the company. It helps answer these two questions: 1. How... Read more
Building a Predictive Analytics Solution with Azure ML  – Fidan Boylu & Syed Fahad Allam Shah ODSC Boston 2015
Building a Predictive Analytics Solution with Azure ML from odsc Create and operationalize a predictive model using Microsoft Azure Machine Learning. –Perform the typical steps involved in building a predictive analytics solution such as data ingestion, data cleansing, data exploration, feature engineering, model selection and evaluation of model results –learn... Read more
Can We Automate Predictive Analytics – Thomas Dinsmore ODSC Boston 2015
Can We Automate Predictive Analytics from odsc Recent news about the pending shortage of data scientists prompts speculation about automation: will machines replace human analysts? We propose a model of automation, and briefly review progress in automated machine learning over the past twenty years. Summarizing the current state of the... Read more
How Nonprofits Use AI to Improve the Workforce
Artificial intelligence has a hand in just about every industry possible, including the nonprofit sector. Though some may not realize it, nonprofit organizations account for nearly $400B of revenue annually worldwide. But some nonprofits still struggle to make ends meet and expand their workforces, causing them to fold and lack... Read more
Searching for a Data Colander for Automatic Data Cleaning
Editor’s note: The following is an article written by Devavrat Shah of MIT and Christina Lee Yu of Cornell University. Be sure to check out their presentation at ODSC East 2019, “Predictions in Excel through Estimating Missing Values”.” The stated mission of Data Science or Data-Driven AI is to extract... Read more
Here’s Why You Aren’t Getting a Job in Data Science
We constantly hear about the rising demand for data science skills coupled with the shortage of data scientists to fill this growing need. This disparity seems like a true opportunity for those seeking career positions in the field, yet stories abound describing how tough it is to land a data... Read more

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