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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

For example, the true yardage distribution for kickoff and punts are similar but shifted, as shown in the following figure. Furthermore, we looked at the probability of a touchdown and probability plots to evaluate calibration. The data distribution for punt and kickoff are different. k10 Baseline 0 4.074 9.62

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Customer Experience Automation – Benefits and Best Practices

NobelBiz

In this article, we delve into the intricacies of CXA, explore its benefits, showcase examples, and outline best practices for implementation. Interactive Voice Response (IVR) At the core of intelligent contact center automation lies a well-calibrated IVR system. Table of Contents What Is Customer Experience Automation (CXA)?

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

We explored nearest neighbors, decision trees, neural networks, and also collaborative filtering in terms of algorithms, while trying different sampling strategies (filtering, random, stratified, and time-based sampling) and evaluated performance on Area Under the Curve (AUC) and calibration distribution along with Brier score loss.

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LiDAR 3D point cloud labeling with Velodyne LiDAR sensor in Amazon SageMaker Ground Truth

AWS Machine Learning

LiDAR is a key enabling technology in growing autonomous markets, such as robotics, industrial, infrastructure, and automotive. The code for this example is available on GitHub. With a combination of optimal power and high performance, this sensor provides distance and calibrated reflectivity measurements at all rotational angles.

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Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS

AWS Machine Learning

For example, the following figure shows a 3D bounding box around a car in the Point Cloud view for LiDAR data, aligned orthogonal LiDAR views on the side, and seven different camera streams with projected labels of the bounding box. Ground Truth’s automated data labeling functionality is an example of active learning.

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Rule-Based Automation Is Out: Intelligent Automation Is In!

SmartKarrot

Six sigma and lean principles are prime examples of business process management methodology. The most prominent example of this is chatbots. Automotive industry. Drug production requires extremely precise calibration of equipment and measurement of the product. BPM strategies are built on three fundamental pillars.