AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Source: Equifax) Part 1 of this series discusses the most common challenges associated with the manual lending process.

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O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

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Mlearning.ai

MAY 18, 2023

In the Beginning The first object detection algorithm is difficult to pinpoint to a single specific algorithm, as the field of object detection has evolved over several decades with numerous contributions. The development of region-based convolutional neural networks (R-CNN) in 2013 marked a crucial milestone.

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Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

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Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. Experiments Before moving on to the experiments, let’s quickly remember what’s our task.

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Heartbeat

DECEMBER 14, 2023

From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023 citing concerns about the risks of artificial intelligence (AI) technology. Hinton is viewed as a leading figure in the deep learning community.

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Mlearning.ai

JULY 31, 2023

The repository includes embedding algorithms, such as Word2Vec, GloVe, and Latent Semantic Analysis (LSA), to use with their PIP loss implementation. As such, I’ve adapted and converted the simplest algorithm (LSA) and PIP loss implementations with PyTorch and guided comments for more flexibility. Dosovitskiy, A., Kolesnikov, A.,

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Heartbeat

DECEMBER 27, 2023

However, the emergence of the open-source Docker engine by Solomon Hykes in 2013 accelerated the adoption of the technology. The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). catboost is the machine learning algorithm for model building.

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Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. Williams, Hinton was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach.

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ML Review

JUNE 4, 2018

Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score. The idea of sampling an attention trajectory as an estimation was taken from a Reinforcement Learning algorithm called REINFORCE[88]. Paragios N.

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DrivenData Labs

DECEMBER 7, 2023

Summary of approach : Using a downsampling method with ChatGPT and ML techniques, we obtained a full NEISS dataset across all accidents and age groups from 2013-2022 with six new variables: fall/not fall, prior activity, cause, body position, home location, and facility. race and sex).

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ML Review

MAY 3, 2018

17] “ LipNet ” introduces the first approach for an end-to-end lip reading algorithm at sentence level. 27] LipNet also makes use of an additional algorithm typically used in speech recognition systems — a Connectionist Temporal Classification (CTC) output. Thus the algorithm is alignment-free. Vive Differentiable Programming!

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ML Review

MARCH 5, 2019

Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space. Then, the algorithm proceeds with the following word as the new centre word, i.e. “learning”, sets up the new context, and repeats the same procedure.

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Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Clay Elmore is an AI/ML Specialist Solutions Architect at AWS. He has worked on ML applications in many different industries ranging from energy trading to hospitality marketing.

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Pickl AI

MARCH 7, 2025

High Demand for Data Scientists: Data Science roles have grown over 250% since 2013, with salaries reaching $153k/year. Job Growth: Data Science roles have grown by 256% since 2013 , with a projected growth rate of 36% between 2023 and 2033. Example: Netflix uses ML to recommend shows based on viewing history.

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Pickl AI

FEBRUARY 23, 2025

These tools leverage advanced algorithms and methodologies to process large datasets, uncovering valuable insights that can drive strategic decision-making. uses Hadoop to process over 24 petabytes of data daily, enabling them to improve their search algorithms and ad targeting. Use Cases : Yahoo!

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