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

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 154

Clustering Cross Validation Machine Learning Machine Learning 154

Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. ML-based predictive models nowadays may consider time-dependent components — seasonality, trends, cycles, irregular components, etc. — to

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Towards AI

AUGUST 16, 2023

In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. Therefore, I thought it would be helpful to give a complete description of the AI engineering process or AI Process, which is described in most AI/ML textbooks [5][6]. 85% or more of AI projects fail [1][2].

AI 80

AI AI Machine Learning Machine Learning 80

Pickl AI

JULY 26, 2023

In this article, we will explore the definitions, differences, and impacts of bias and variance, along with strategies to strike a balance between them to create optimal models that outperform the competition. Regular cross-validation and model evaluation are essential to maintain this equilibrium.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Pickl AI

MARCH 26, 2024

Definition of KNN Algorithm K Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm for classification and regression tasks. Experimentation and cross-validation help determine the dataset’s optimal ‘K’ value. What are K Nearest Neighbors in Machine Learning?

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

JULY 12, 2024

This section delves into its foundational definitions, types, and critical concepts crucial for comprehending its vast landscape. Here are a few of the key concepts that you should know: Machine Learning (ML) This is a type of AI that allows computers to learn without being explicitly programmed.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52