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!

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Machine Learning Machine Learning ML ML 64

AWS Machine Learning Blog

JANUARY 6, 2023

In Part 2 , we demonstrated how to use Amazon Neptune ML (in Amazon SageMaker ) to train the KG and create KG embeddings. This event frequently occurs in video streaming platforms that constantly purchase a variety of content from multiple vendors and production companies for a limited time. That’s an out-of-catalog search experience!

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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.

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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.

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K-nearest Neighbors Clustering Deep Learning Deep Learning 52

AWS Machine Learning Blog

JUNE 3, 2024

In this post, we introduce semantic search, a technique to find incidents in videos based on natural language descriptions of events that occurred in the video. Kinesis Video Streams makes it straightforward to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing.

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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?

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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.

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Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

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.

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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

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.

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Data Science Decision Trees Machine Learning Machine Learning 52

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.

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Machine Learning Machine Learning Algorithm Clustering 52