ODSC - Open Data Science

FEBRUARY 20, 2023

He gave the Inaugural IMS Grace Wahba Lecture in 2022, the IMS Neyman Lecture in 2011, and an IMS Medallion Lecture in 2004. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

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IBM Journey to AI blog

NOVEMBER 20, 2023

It was introduced in 2011 as an alternative to the SATA and Serial Attached SCSI (SAS) protocols that were the industry standard at the time, and it conveys better throughput than its predecessors. Since 2011, NVMe technology has distinguished itself through its high bandwidth and blazing-fast data transfer speeds. What is NVMe?

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IBM Journey to AI blog

NOVEMBER 3, 2023

NVMe storage technology was designed to replace Serial Advanced Technology Attachment (SATA) and Serial Attached SCSI (SAS) protocols that were the industry standard until NVMe’s introduction in 2011. NVMe also works seamlessly with all modern operating systems, including mobile phones, laptops and gaming consoles.

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IBM Journey to AI blog

NOVEMBER 13, 2023

In 2011, NVMe storage technology was introduced as an alternative to SATA and Serial Attached SCSI (SAS) protocols, which had been the industry standard for several years. Peripheral Component Interconnect Express (PCIe) bus One of the most important differentiators of NVMe SSDs is the way it accesses flash storage.

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AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com. The recommendation system has driven an 8.6%

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19).

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DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets. In 2011, H2O.ai

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Mlearning.ai

JULY 22, 2023

Siri launched back in 2011 and became the first modern virtual assistant of its kind. This enormous consumer market could mean rolling out innovative AI products to users on iOS devices in ways competing companies would not be able to.

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Mlearning.ai

JUNE 5, 2023

It is a fork of the Python Imaging Library (PIL), which was discontinued in 2011. Deep learning frameworks are widely used in computer vision, which is the field of artificial intelligence that deals with understanding and analyzing visual data such as images and videos.

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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

OCTOBER 9, 2023

Artificial Intelligence (AI) Integration: AI techniques, including machine learning and deep learning, will be combined with computer vision to improve the protection and understanding of cultural assets. This improves the quality and fidelity of virtual representations, allowing people to have more immersive and realistic experiences.

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Mlearning.ai

FEBRUARY 27, 2023

For the purposes of this tutorial, I’ve chosen the London Energy Dataset which contains the energy consumption of 5,567 randomly selected households in the city of London, UK for the time period of November 2011 to February 2014.

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ML Review

MAY 3, 2018

In some senses, we are getting closer to a generalisable artificial intelligence; knowledge in deep learning is consolidating into a more paradigmatic approach. Introductory courses and books on deep learning cover use cases within NLP, CV, Reinforcement Learning and Generative models. Online] arXiv: 1710.01288. Hassanat, A.B.A.

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AWS Machine Learning Blog

JULY 20, 2023

Artificial intelligence (AI) has become an important and popular topic in the technology community. As AI has evolved, we have seen different types of machine learning (ML) models emerge. One approach, known as ensemble modeling , has been rapidly gaining traction among data scientists and practitioners.

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O'Reilly Media

APRIL 23, 2024

From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. Starting around 2011, advertising, which once framed the organic results and was clearly differentiated from them by color, gradually became more dominant, and the signaling that it was advertising became more subtle.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

Rather than using probabilistic approaches such as traditional machine learning (ML), Automated Reasoning tools rely on mathematical logic to definitively verify compliance with policies and provide certainty (under given assumptions) about what a system will or wont do. However, its important to understand its limitations.

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