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Top 8 Machine Learning Algorithms

Data Science Dojo

K-Nearest Neighbors (KNN): This method classifies a data point based on the majority class of its K nearest neighbors in the training data. These anomalies can signal potential errors, fraud, or critical events that require attention. Balancing these trade-offs is essential.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Journey to AI blog

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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8 of the Top Python Libraries You Should be Using in 2024

ODSC - Open Data Science

With the explosion of AI across industries TensorFlow has also grown in popularity due to its robust ecosystem of tools, libraries, and community that keeps pushing machine learning advances. Interested in attending an ODSC event? Learn more about our upcoming events here. And did any of your favorites make it in?

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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

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. Active learning is a really powerful data selection technique for reducing labeling costs.

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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

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. Active learning is a really powerful data selection technique for reducing labeling costs.

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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

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. Active learning is a really powerful data selection technique for reducing labeling costs.

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Power recommendations and search using an IMDb knowledge graph – Part 3

AWS Machine Learning Blog

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. Check out Part 1 and Part 2 of this series to learn more about creating knowledge graphs and GNN embedding using Amazon Neptune ML. Solution overview.

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