Pickl AI

MARCH 26, 2024

Nevertheless, its applications across classification, regression, and anomaly detection tasks highlight its importance in modern data analytics methodologies. The K Nearest Neighbors (KNN) algorithm of machine learning stands out for its simplicity and effectiveness. What are K Nearest Neighbors in Machine Learning?

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

JULY 26, 2023

Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models. Such models may perform exceedingly well on the training data but poorly on unseen data, indicating a lack of generalization.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

AWS Machine Learning Blog

SEPTEMBER 29, 2023

This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. In this analysis, we use a K-nearest neighbors (KNN) model to conduct crop segmentation, and we compare these results with ground truth imagery on an agricultural region.

Machine Learning 119

Machine Learning Machine Learning ML ML 119

Pickl AI

SEPTEMBER 12, 2024

Data Science is the art and science of extracting valuable information from data. It encompasses data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and insights that can drive decision-making and innovation.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Cross-Validation? Let us see some examples.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. Each season consists of around 17,000 plays.

ML 69

ML ML Machine Learning Machine Learning 69

Dataconomy

SEPTEMBER 1, 2023

Researchers often experiment with various algorithms like random forest, K-nearest neighbor, and logistic regression to find the best combination. Ensuring that hybrid models also generalize well to unseen data is a constant concern. Techniques like cross-validation and robust evaluation methods are crucial.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195