AWS Machine Learning

FEBRUARY 2, 2023

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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Calibration Engineering Big data Automotive 76

AWS Machine Learning

OCTOBER 5, 2022

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.

Calibration 93

Calibration Engineering Automotive Analytics 93

AWS Machine Learning

JULY 11, 2022

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. To implement the solution in this post, you must have the following prerequisites: An AWS account for running the code. Solution overview.

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Calibration Engineering Automotive Technology 85

AWS Machine Learning

JULY 3, 2023

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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Calibration APIs Scripts Automotive 84