ML @ CMU

NOVEMBER 7, 2024

We address the challenges of landmine risk estimation by enhancing existing datasets with rich relevant features, constructing a novel, robust, and interpretable ML model that outperforms standard and new baselines, and identifying cohesive hazard clusters under geographic and budgetary constraints. Validation results in Colombia.

Clustering 152

Clustering Cross Validation Machine Learning Machine Learning 152

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.

Cross Validation 123

Cross Validation ML ML Machine Learning 123

Mlearning.ai

SEPTEMBER 24, 2023

Figure 1: Brute Force Search It is a cross-validation technique. Figure 2: K-fold Cross Validation On the one hand, it is quite simple. Running a cross-validation model of k = 10 requires you to run 10 separate models. 2019) Data Science with Python. 2019) Applied Supervised Learning with Python.

Cross Validation 52

Cross Validation Algorithm Supervised Learning Python 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

Heartbeat

JUNE 14, 2023

Label Smoothing Equation [5] In their 2019 paper “ When does label smoothing help? ”, Hinton et al. [5] logits of the final layer), which helps reduce overconfidence and subsequently reduces the network’s ECE. ” Advances in neural information processing systems 32 (2019). [6] The parameter ɑ controls the degree of smoothing.

Deep Learning 59

Deep Learning Deep Learning Support Vector Machines Machine Learning 59

Ocean Protocol

AUGUST 8, 2023

Matin split the journey, dedicating the initial 80% to training (2019–12–30 to 2022–03–28) and the final 20% to evaluation (2022–03–30 to 2022–10–21). This deployed hyperparameters tuning and cross-validation to ensure an effective and generalizable model. Describe the ML model you chose and explain why it suited this task.

Machine Learning 52

Machine Learning Machine Learning Cross Validation ML 52

Mlearning.ai

APRIL 11, 2023

Use the cross validation technique to provide a more accurate estimate of the generalization error. Conclusion This work gives a brief overview of the double descent phenomenon, a novel concept discovered in 2019 [3]. Increase the size of training data. Figure 4: Sample-wise double descent phenomenon for linear regression model.

Cross Validation 52

Cross Validation Machine Learning Machine Learning Deep Learning 52