Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. We then explain the details of the ML methodology and model training procedures.

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Cross Validation ML ML Machine Learning 123

DagsHub

JUNE 3, 2024

In 2018, there were extensive news reports that an Uber self-driving car made an accident with a pedestrian in Tempe, Arizona. The pedestrian died, and investigators found that there was an issue with the machine learning (ML) model in the car, so it failed to identify the pedestrian beforehand. Read more about benchmarking ML models.

Machine Learning 52

Machine Learning Machine Learning Decision Trees ML 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

ML 85

ML ML Machine Learning Machine Learning 85

Mlearning.ai

FEBRUARY 10, 2023

For example, if you are using regularization such as L2 regularization or dropout with your deep learning model that performs well on your hold-out-cross-validation set, then increasing the model size won’t hurt performance, it will stay the same or improve. The only drawback of using a bigger model is computational cost. Ng, Andrew.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Mlearning.ai

APRIL 13, 2023

This is often done using techniques such as cross-validation or grid search. Hyperparameter tuning is the process of finding the optimal values for these hyperparameters to maximize the performance of the algorithm. There are several approaches to hyperparameter tuning for kernel-based algorithms, including: 1.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Support Vector Machines 52