Mathematical optimization (AKA Mixed Integer Programming) and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that… Read More »DSC Webinar Series: Mathematical Optimization + ML: Featuring Forrester Survey Insights
Mathematical optimization, specifically Mixed Integer Programming (MIP), is a technology that is used to solve a large variety of problems within multiple industries, including supply… Read More »DSC Webinar Series: Adding Optimization to Your Analytics Toolbox
Running data science workloads is a challenge regardless of whether you are running them on your laptop, on an on-premises cluster, or in the cloud.… Read More »DSC Webinar Series: Patterns for Successful Data Science Projects
Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed… Read More »DSC Webinar Series: Data Prep & Automated ML: Better Predictions for Consensus
A machine learning algorithm isn’t worth much without great training data to power it. After all, algorithms learn from data, discovering relationships, developing understanding, making… Read More »DSC Webinar Series: The Essentials of Training Data for Machine Learning
From BI to AI, the need for Big Data and analytics is pervasive and transformational. However, Big Data technologies such as Hadoop or Spark are still… Read More »DSC Webinar Series: Harness the Power of Big Data Analytics
The rising popularity of Amazon Alexa and Google Home has lead people to expect when they speak to software it will understand what to do.… Read More »DSC Webinar Series: The Promise of Natural Language Processing (NLP)
Critics describe machine learning as a “black box,” where data goes in and a prediction comes out, without visibility into how the prediction was derived.… Read More »DSC Webinar Series: The Myth of the Machine Learning Black Box
Apache Spark has rapidly become a key tool for data scientists to explore, understand and transform massive datasets and to build and train advanced machine… Read More »DSC Webinar Series: Apache® Spark™ MLlib 2.x: Productionize your Machine Learning Models
Achieving accurate anomaly detection requires more than statistics. Simple assumptions like normal distribution do not work in the real world. Time series data – representing… Read More »DSC Webinar Series: Accurate Anomaly Detection with Machine Learning
