AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon EventBridge listens to this event, and then initiates an AWS Step Functions step. The function then searches the OpenSearch Service image index for images matching the celebrity name and the k-nearest neighbors for the vector using cosine similarity using Exact k-NN with scoring script.

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IBM Journey to AI blog

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

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AWS Machine Learning Blog

SEPTEMBER 29, 2023

Assessing and mitigating damage – Finally, crop segmentation can be used to quickly and accurately identify areas of crop damage in the event of a natural disaster, which can help prioritize relief efforts. Planet Labs PBC undertakes no obligation to update forward-looking statements to reflect future events or circumstances.

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ODSC - Open Data Science

JANUARY 5, 2024

Interested in attending an ODSC event? Learn more about our upcoming events here. Scikit-learn is also open-source, which makes it a popular choice for both academic and commercial use. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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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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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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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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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. However,traditional video analysis methods often rely on manual, labor-intensive processes, making it challenging to scale and efficient.

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AWS Machine Learning Blog

JANUARY 6, 2023

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. If yes, you will find that instead of facing a blank search result page, you find a list of movies in same genre, with cast or crew members. Solution overview.

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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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Pickl AI

SEPTEMBER 3, 2023

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. Finding anomalous occurrences that might point to intriguing or potentially significant events is the aim of anomaly detection.

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AWS Machine Learning Blog

AUGUST 26, 2024

At events, our teams now approach customer interactions armed with comprehensive, up-to-date information on demand. Users such as specialists who move between multiple accounts have seen a dramatic improvement in their ability to quickly understand and add value to diverse customer situations.

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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. So, finding the right Cis like finding the sweet spot between driving fast and driving safe. random_state=0) 3.3.

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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. You can approximate your machine learning training components into some simpler classifiers—for example, a k-nearest neighbors classifier.

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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. You can approximate your machine learning training components into some simpler classifiers—for example, a k-nearest neighbors classifier.

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Pickl AI

SEPTEMBER 12, 2024

Joint Probability: The probability of two events co-occurring, often used in Bayesian statistics and probability theory. K K-Means Clustering: An unsupervised learning algorithm that partitions data into K distinct clusters based on feature similarity.

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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. For example, The K-Nearest Neighbors algorithm can identify unusual login attempts based on the distance to typical login patterns.

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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).

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Mlearning.ai

MAY 23, 2023

The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance. This trade-off can easily be reversed by increasing the k value which in turn results in increasing the number of neighbours. False Positives are those cases that were wrongly identified as an event even if they were not.

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Dataconomy

SEPTEMBER 1, 2023

Researchers often experiment with various algorithms like random forest, K-nearest neighbor, and logistic regression to find the best combination. By leveraging real-time data, hybrid models can provide timely insights, potentially preventing adverse cardiac events and improving patient outcomes.

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Dataconomy

FEBRUARY 26, 2025

It bridges the gap between mere correlation and genuine insight, enabling organizations to make informed decisions based on the root causes of events. Step-by-step process Collect observational data: Gather extensive datasets that track various events over time to inform causal relationships.

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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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Dataconomy

DECEMBER 12, 2024

K-Nearest Neighbors (KNN) : For small datasets, this can be a simple but effective way to identify file formats based on the similarity of their nearest neighbors. The system logs the events and handles any errors. Finally, at the end of the process, the system sends a response to the user.

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