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 Data Science?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 5, 2024

What makes it popular is that it is used in a wide variety of fields, including data science, machine learning, and computational physics. Without this library, data analysis wouldn’t be the same without pandas, which reign supreme with its powerful data structures and manipulation tools. Not a bad list right?

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

AWS Machine Learning Blog

FEBRUARY 25, 2025

Its internal deployment strengthens our leadership in developing data analysis, homologation, and vehicle engineering solutions. Instead of treating each input as entirely unique, we can use a distance-based approach like k-nearest neighbors (k-NN) to assign a class based on the most similar examples surrounding the input.

Algorithm 89

Algorithm Machine Learning Machine Learning K-nearest Neighbors 89

PyImageSearch

JUNE 19, 2023

By the end of the lesson, readers will have a solid grasp of the underlying principles that enable these applications to make suggestions based on data analysis. Figure 7: TF-IDF calculation (source: Towards Data Science ). The item ratings of these -closest neighbors are then used to recommend items to the given user.

K-nearest Neighbors 57

K-nearest Neighbors Clustering Algorithm Deep Learning 57

IBM Journey to AI blog

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 82

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

AWS Machine Learning Blog

APRIL 5, 2023

This includes preparing data, creating a SageMaker model, and performing batch transform using the model. Data overview and preparation You can use a SageMaker Studio notebook with a Python 3 (Data Science) kernel to run the sample code. For this post, we use the Amazon Berkeley Objects Dataset.

ML 115

ML ML AWS K-nearest Neighbors 115

Mlearning.ai

JULY 6, 2023

Some common quantitative evaluations are linear probing , K nearest neighbors (KNN), and fine-tuning. Multi-modal/temporal data is one of the important aspects of remote sensing and deep learning. It allows us to perform big data analysis. Besides that, there is also qualitative evaluation.

Supervised Learning 52

Supervised Learning Deep Learning Deep Learning K-nearest Neighbors 52

PyImageSearch

SEPTEMBER 16, 2024

Anomaly detection ( Figure 2 ) is a critical technique in data analysis used to identify data points, events, or observations that deviate significantly from the norm. Similarly, autoencoders can be trained to reconstruct input data, and data points with high reconstruction errors can be flagged as anomalies.

Clustering 57

Clustering Algorithm Machine Learning Machine Learning 57

Towards AI

JULY 19, 2023

That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. among supervised models and k-nearest neighbors, DBSCAN, etc., Motivation The motivating question is— ‘What are the chances of survival of a heart failure patient?’. among unsupervised models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40