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Session 23: ALL - Natural Language Processing in the Insurance Industry
on the words which makes it faster. Examples: care, cares, cared, caring-> car Lemmatization removes ... word to its root form. Examples: care, cares, cared, caring-> care Stop Word Removal Stop words ...- Authors: Mengchu Tsai, Xiaojie Wang
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Technology & Applications; Technology & Applications>Analytics and informatics; Technology & Applications>Business intelligence; Technology & Applications>Artificial intelligence & machine learning
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Session 190: Getting Started with Predictive Analytics: Kaggle Competitions
Session 190: Getting Started with Predictive Analytics: Kaggle Competitions Ever ... closely follow federal law. The Sherman Act, is the primary U.S. antitrust law pertaining to association activities ...- Authors: Nathan Dennis Pohle, Maria Wellen
- Date: Mar 2020
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods; Technology & Applications; Technology & Applications>Artificial intelligence & machine learning
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Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) - Moving Beyond Basic Neural Networks for Innovative Advantages
Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) - Moving Beyond ... collection of similar monochrome layers – one for each primary color 0 255 130 60 255 0 175 100 So ...- Authors: David Snell, Balathasan Giritharan
- Date: Nov 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Technology & Applications>Artificial intelligence & machine learning; Technology & Applications>Visualization