AWS Machine Learning Blog

NOVEMBER 3, 2023

His 2009 strike against Leverkusen at a speed of 125 km/h is one that is vividly remembered because the sheer velocity of Hitzlsperger’s free-kick was enough to leave Germany’s number one goalkeeper, René Adler, seemingly petrified. His skills and areas of expertise include application development, data science, and machine learning (ML).

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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AWS Machine Learning Blog

JANUARY 30, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. For the NYC taxi data, we use the yellow trip taxi records from 2009–2022. 2 3175 3294 0.94

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Iguazio

FEBRUARY 17, 2024

How can financial services companies build, expand and optimize their use of data and ML? Open and free financial datasets and economic datasets are an essential starting point for data scientists and engineers who are developing and training ML models for finance. To learn more about ML and financial services, click here.

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O'Reilly Media

JUNE 15, 2023

You have only to look at the slow response of bank regulators to the rise of CDOs and other mortgage-backed derivatives in the runup to the 2009 financial crisis to understand that time is of the essence. It requires constant vigilance, and adaptation to new circumstances at the speed at which those circumstances change.

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Snorkel AI

JUNE 22, 2023

By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The macro view will not be surprising.

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Snorkel AI

JUNE 22, 2023

By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The macro view will not be surprising.

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

ML 52

ML ML Deep Learning Deep Learning 52

Snorkel AI

JUNE 22, 2023

By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. The macro view will not be surprising.

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Mlearning.ai

JULY 30, 2023

Nonetheless, features are an essential ingredient in building an ML model. This covers unsupervised, supervised, self-supervised, decision-making, and even graph ML. With most ML use cases moving to deep learning, models’ opacity has increased significantly. BMC Bioinformatics 10, 213 (2009).

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O'Reilly Media

APRIL 4, 2024

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” Venture capitalists don’t have a crystal ball.

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Mlearning.ai

JULY 17, 2023

There are, of course, many such differences between ANNs and biological brains, and in truth, many of these will likely never lend themselves to computational ML models. Reproduced from The New Executive Brain, Oxford University Press, 2009. But these models continue to be plagued by limitations not seen in biological brains.

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Dataconomy

MARCH 12, 2024

MobiDev could be just a regular technology startup, as it was back in 2009. MobiDev covers a full cycle of iOS app development, which includes processing data received from the existing BeONE Sports ML models, video rendering, and in-app purchases.

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Tableau

DECEMBER 1, 2021

May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Salesforce has accelerated Tableau’s exploration of ML, including with Einstein Discovery in Tableau in Tableau 2021.1 Visual encoding is key to explaining ML models to humans. March 2021).

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Tableau

DECEMBER 1, 2021

May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Salesforce has accelerated Tableau’s exploration of ML, including with Einstein Discovery in Tableau in Tableau 2021.1 Visual encoding is key to explaining ML models to humans. March 2021).

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Solution overview SageMaker JumpStart is a robust feature within the SageMaker machine learning (ML) environment, offering practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs). Choose Submit to start the training job on a SageMaker ML instance. You can access the Meta Llama 3.2

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