AWS Machine Learning Blog

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system.

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Database SQL Data Analysis Data Analysis 117

Towards AI

APRIL 4, 2024

Last Updated on April 4, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme.

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K-nearest Neighbors Machine Learning Machine Learning Decision Trees 80

ODSC - Open Data Science

JANUARY 5, 2024

Top Python Libraries of 2023 and 2024 NumPy NumPy is the gold standard for scientific computing in Python and is always considered amongst top Python libraries. Without this library, data analysis wouldn’t be the same without pandas, which reign supreme with its powerful data structures and manipulation tools.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

AWS Machine Learning Blog

AUGUST 26, 2024

From the period of September 2023 to March 2024, sellers leveraging GenAI Account Summaries saw a 4.9% The business opportunity Data often resides across multiple internal systems, such as CRM and financial tools, and external sources, making it challenging for account teams to gain a comprehensive understanding of each customer.

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AWS AI AI K-nearest Neighbors 127

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