AWS Machine Learning Blog

APRIL 7, 2025

In this example, the model extracts key financial metrics from Amazon 10-K reports (2017-2024), demonstrating its capability to integrate and analyze data spanning multiple yearsall without the need for additional processing tools. billion in 2017 to a projected $37.68 billion in 2017 to a projected $37.68

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AWS Machine Learning Machine Learning ML 115

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

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ML ML Machine Learning Machine Learning 121

Dataconomy

APRIL 4, 2024

In 2017, some researchers published a seminal paper called, “Attention is all you need.” If you feed an algorithm enough English and French text, it can figure out how to translate from one to another by understanding the relationships between the words of each language. An early use for this was translation. Costs dropped.

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Algorithm AI AI Decision Trees 103

DrivenData Labs

DECEMBER 11, 2024

A number of breakthroughs are enabling this progress, and here are a few key ones: Compute and storage - The increased availability of cloud compute and storage has made it easier and cheaper to get the compute resources organizations need. Of course, the answer is also not to avoid algorithms and automation altogether.

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Data Science Data Scientist Machine Learning Machine Learning 147

Heartbeat

DECEMBER 4, 2023

The challenges and successes involved in bringing AI to your palm Photo by Neil Soni on Unsplash The proliferation of machine learning and deep learning algorithms has been ubiquitous and has not left any device with an ounce of processing power behind, even our smartphones. arXiv preprint arXiv:1704.04861 (2017).

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Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 59

Heartbeat

OCTOBER 9, 2023

Computer vision techniques enable us to generate accurate digital representations of artifacts previously thought to be lost. Computer vision algorithms can reconstruct a highly detailed 3D model by photographing objects from different perspectives. This can be done with specialized cameras or conventional digital cameras.

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Algorithm Deep Learning Deep Learning Machine Learning 52

Explosion

APRIL 1, 2017

Most AI systems today rely on supervised learning : you provide labelled input and output pairs, and get a program that can perform analogous computation for new data. — Richard Socher (@RichardSocher) March 10, 2017 The problem is that there’s any number of “structures” that an unsupervised algorithm might recover.

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Supervised Learning Machine Learning Machine Learning Algorithm 40