DataRobot

FEBRUARY 10, 2021

Machine learning is a glass cannon. The promise and power of AI lead many researchers to gloss over the ways in which things can go wrong when building and operationalizing machine learning models. As a data scientist, one of my passions is to reproduce research papers as a learning exercise.

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Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. Neben Supervised Learning kam auch Reinforcement Learning zum Einsatz.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

ODSC - Open Data Science

DECEMBER 13, 2023

With machine learning and other advancements, these materials could see production much sooner than something such as lithium-ion batteries which took decades. That’s an international research group founded at the Lawrence Berkeley National Laboratory in 2011. But their potential is quite clear.

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DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

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Hacker News

MARCH 25, 2022

They’re driving a wave of advances in machine learning some have dubbed transformer AI. Attention Net didn’t sound very exciting,” said Vaswani, who started working with neural nets in 2011.Jakob A Moment for Machine Learning. I could see this would likely be an important moment in machine learning,” he said.

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ODSC - Open Data Science

FEBRUARY 20, 2023

I spent a day a week at Amazon, and they’ve been doing machine learning going back to the early 90s to find patterns and also make logistics decisions. Whereas the kind of current machine learning style thinking that federated learning, the ChatGPT do, is they don’t consider these issues.

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Machine Learning Machine Learning Data Science Python 96

Tableau

JULY 19, 2021

Since 2011, Tableau Academic Programs have been driving data literacy efforts by offering free software and learning resources to enable and empower future data workers. We have provided more than 1.7 million students and instructors around the world with access to software and data skills.

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Tableau Data Visualization Data Analysis Data Analysis 137

IBM Journey to AI blog

AUGUST 13, 2024

One IBM researcher of note, Arthur Samuel, called this process “machine learning,” a term he coined that remains central to AI today. In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing. In a televised Jeopardy!

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Smart Data Collective

JUNE 6, 2021

Other uses may include: Maintenance checks Guides, resources, training and tutorials (all available in BigQuery documentation ) Employee efficiency reviews Machine learning Innovation advancements through the examination of trends. (1). Big data analytics advantages. What is Google BigQuery?

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Flipboard

JANUARY 20, 2025

The vaccine project also got him interested in learning more about industrial engineering and operations research, which uses mathematical modeling and analytical techniques to help complex systems run smoothly. As an assistant vice president, he developed data science and machine learning models to price bonds more accurately.

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AWS Machine Learning Blog

OCTOBER 23, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Founded in 2011, Talent.com is one of the world’s largest sources of employment. Yanjun Qi is a Senior Applied Science Manager at the Amazon Machine Learning Solution Lab.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform.

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ETL AWS ML ML 111

Dataconomy

SEPTEMBER 19, 2023

The concept encapsulates a broad range of AI-enabled abilities, from Natural Language Processing (NLP) to machine learning (ML), aimed at empowering computers to engage in meaningful, human-like dialogue. Since its introduction in 2011, Siri has become a popular feature on Apple devices such as iPhones, iPads, and Mac computers.

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Data Science 101

APRIL 12, 2019

This shows that the vast majority of the employees are satisfied with the company and they are also a top choice for data science and machine learning positions based on annual pay packages. Reltio is based in Redwood Shores, California and the company was founded in 2011. Checkout: Dataiku Careers. #2 2 StreamSets.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

He leads development of EC2 instances for a wide variety of workloads including deep learning and generative AI. He defines and creates Amazon EC2 accelerated computing instances for most demanding AI/machine learning workloads. degree in Computer Science in 2011 from the University of Lille 1. He holds a M.E.

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AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We trained three models using data from 2011–2018 and predicted the sales values until 2021.

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Machine Learning Machine Learning ML ML 104

NYU Center for Data Science

SEPTEMBER 11, 2024

Meet CDS Senior Research Scientist Shirley Ho , a distinguished astrophysicist and machine learning expert who brings a wealth of experience and innovative research to our community. This entry is part of our Meet the Research Scientist blog series, which introduces and highlights Research Scientists who have recently joined CDS.

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Deep Learning Deep Learning Computer Science Computer Science 73

Hacker News

NOVEMBER 15, 2023

But the machine learning engines driving them have grown significantly, increasing their usefulness and popularity. IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the Jeopardy! The concepts behind this kind of text mining have remained fairly constant over the years.

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DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

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Machine Learning Machine Learning Data Quality Algorithm 64

Tableau

JULY 19, 2021

Since 2011, Tableau Academic Programs have been driving data literacy efforts by offering free software and learning resources to enable and empower future data workers. We have provided more than 1.7 million students and instructors around the world with access to software and data skills.

Tableau 98

Tableau Data Visualization Data Analysis Data Analysis 98

AWS Machine Learning Blog

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. Her current areas of interest include federated learning, distributed training, and generative AI. She holds 30+ patents and has co-authored 100+ journal/conference papers.

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AWS AI AI Python 129

Towards AI

NOVEMBER 16, 2024

The construction of more adaptable and precise machine learning models relies on an understanding of STNs and their advancements. are modules that can learn to adjust the spatial information in a model, making it more resistant to changes like warping.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets. Her current areas of interest include federated learning, distributed training, and generative AI.

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IBM Journey to AI blog

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011. IBM watsonx.ai Explore watsonx.ai

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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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Algorithm Machine Learning Machine Learning Natural Language Processing 96

Hacker News

MAY 6, 2023

As More recalled in a 2011 interview , during the 1956 meeting “Selfridge, and Minsky, and McCarthy, and Ray Solomonoff, and I gathered around a dictionary on a stand to look up the word ‘heuristic,’ because we thought that might be a useful word.” Probabilistic methods eventually became the underpinnings of machine learning.

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Smart Data Collective

SEPTEMBER 29, 2022

Companies use machine learning to identify technical issues with their sites and automate maintenance. The platform has been around since 2011 and offers access to more than 250,000 apps that have been downloaded over 1 billion times. They can find creative ways to reach new customers more easily than ever. Improve maintenance.

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AI AI Machine Learning Machine Learning 145

Tableau

MAY 25, 2022

Tableau Academic Programs , launched in 2011, enable students and teachers around the world by providing access to free software and learning resources.To And data-enabled innovations, including artificial intelligence and machine learning, are now mainstream technologies that are essential to the operation of many enterprises. .

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Tableau

MAY 25, 2022

Tableau Academic Programs , launched in 2011, enable students and teachers around the world by providing access to free software and learning resources.To And data-enabled innovations, including artificial intelligence and machine learning, are now mainstream technologies that are essential to the operation of many enterprises. .

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Tableau Artificial Intelligence Artificial Intelligence Machine Learning 98

Data Science Blog

JUNE 27, 2023

Lambda – Architecture Introduced in 2011 during the peak of Big Data’s prominence, the Lambda architecture remains a significant presence in the field. Thus, it is crucial for such companies to contemplate and decide which architectural approach best aligns with their goals.

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ODSC - Open Data Science

JUNE 6, 2023

Since 2011, a man by the name of Gert-Jan Oskam had been paralyzed from the hips down after a motorcycle accident. Well, specifically, a machine learning-powered thought decoder. Swiss researchers were able to use AI in implants that acted as a bridge between the spine and brain, allowing a paralyzed man to walk.

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AI AI Data Science Machine Learning 59

AWS Machine Learning Blog

JULY 15, 2024

Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud. Her current areas of interest include federated learning, distributed training, and generative AI. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. Cristian Torres is a Sr.

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Dataconomy

JUNE 15, 2023

This breakthrough enabled faster and more powerful computations, propelling AI research forward One notable public achievement during this time was IBM’s AI system, Watson, defeating two champions on the game show Jeopardy in 2011. This demonstrated the astounding potential of machines to learn and differentiate between various objects.

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Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018.

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Machine Learning Machine Learning Natural Language Processing Analytics 52

Towards AI

MARCH 11, 2025

Heres how Q-learning works step by step: Illustration by Bojan, 2011 Where the state s, and the current state-action pair value estimate from a and s donated by Qt (s, a), t + 1 denotes the time constant, is the discount factor, r t + 1 is the payoff that the agent receives when action a is taken in state s, and parameter is a learning rate.

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Smart Data Collective

FEBRUARY 14, 2023

This includes utilizing personalization technology, which relies heavily on machine learning. Since launching in 2011, Snapchat has primarily been a mobile app that works best with high-end smartphones. The best part is that many of these web apps are using AI technology to provide the optimal user experience.

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science.

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