Snorkel AI

APRIL 28, 2023

He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022. The talk explored Zhang’s work on how debugging data can lead to more accurate and more fair ML applications. A transcript of the talk follows.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 5, 2025

The listing writer microservice publishes listing change events to an Amazon Simple Notification Service (Amazon SNS) topic, which an Amazon Simple Queue Service (Amazon SQS) queue subscribes to. He is passionate about building large-scale ML systems that can serve global users with optimal performance.

K-nearest Neighbors 84

K-nearest Neighbors Machine Learning Machine Learning Database 84

Heartbeat

SEPTEMBER 22, 2023

K-Nearest Neighbors (KNN) Classifier: The KNN algorithm relies on selecting the right number of neighbors and a power parameter p. Automating Hyperparameter Tuning with Comet ML To streamline the hyperparameter tuning process, tools like Comet ML come into play. Follow “Nhi Yen” for future updates!

Machine Learning 64

Machine Learning Machine Learning ML ML 64

AWS Machine Learning Blog

AUGUST 26, 2024

This includes sales collateral, customer engagements, external web data, machine learning (ML) insights, and more. AI-driven recommendations – By combining generative AI with ML, we deliver intelligent suggestions for products, services, applicable use cases, and next steps.

AWS 126

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ODSC - Open Data Science

JANUARY 5, 2024

PyTorch This essential library is an open-source ML framework capable of speeding up research prototyping, allowing companies to enter the production deployment phase. Interested in attending an ODSC event? Learn more about our upcoming events here. Currently, Django is still at over 74,000 stars on GitHub.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. So have you tried other clustering approaches other than K-means, and how does that impact this entire process? AB : Got it. Thank you.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. So have you tried other clustering approaches other than K-means, and how does that impact this entire process? AB : Got it. Thank you.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. So have you tried other clustering approaches other than K-means, and how does that impact this entire process? AB : Got it. Thank you.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Mlearning.ai

MARCH 28, 2023

Class imbalance can occur in various real-world scenarios such as fraud detection, medical diagnosis, and rare event prediction. In these cases, the rare events or positive instances are of great interest, but they are often overshadowed by the abundance of negative instances. Where does it occur?

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Pickl AI

SEPTEMBER 3, 2023

On the other hand, 48% use ML and AI for gaining insights into the prospects and customers. Observations that deviate from the majority of the data are known as anomalies and might take the shape of occurrences, trends, or events that differ from customary or expected behaviour.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Mlearning.ai

MAY 23, 2023

Let us first understand the meaning of bias and variance in detail: Bias: It is a kind of error in a machine learning model when an ML Algorithm is oversimplified. It is introduced into an ML Model when an ML algorithm is made highly complex. In such types of questions, we first need to ask what ML model we have to train.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

DagsHub

DECEMBER 23, 2024

Query Synthesis Scenario : Training a model to classify rare astronomical events using synthetic telescope data.   They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN).

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52

Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. We are no longer far from the concepts of AI and ML, and these products are preparing to become the hidden power behind medical prediction and diagnostics. Deciding which machine learning algorithms to use in hybrid models is critical.

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Decision Trees Machine Learning Machine Learning Support Vector Machines 195

Google Research AI blog

NOVEMBER 28, 2022

NeurIPS 2022 will be held as a hybrid event, in person in New Orleans, LA with some virtual attendance options, and includes invited talks, demonstrations and presentations of some of the latest in machine learning research.

Machine Learning 52

Machine Learning Machine Learning Algorithm Clustering 52