AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. Dhawal Patel is a Principal Machine Learning Architect at AWS. He currently is working on Generative AI for data integration.

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Dataconomy

FEBRUARY 21, 2024

Full disclosure: the author participated in online surveys in early 2010.) When AI came on the scene, machine learning and AI completely transformed consumer sentiment data. Large firms provided surveys for businesses and analyzed the data. This method works but is cost-prohibitive for most small businesses.

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Artificial Intelligence Artificial Intelligence Computer Science Computer Science 213

Iguazio

AUGUST 3, 2023

How can retailers use, grow and optimize their use of data and machine learning? For data scientists tasked with building and training machine learning models for retailers, open and free retail datasets are an important starting point. To learn more about ML and retailers, click here. Get the dataset here.

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Flipboard

JUNE 20, 2023

Machine learning Machine learning is when computers use experience to improve their performance. Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm.

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Towards AI

AUGUST 11, 2023

Tabular data has been around for decades and is one of the most common data types used in data analysis and machine learning. This exposed many data scientists and machine learning engineers to the power of analyzing and building models on tabular data. This helped form a community of practice around tabular data.

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Towards AI

NOVEMBER 9, 2023

2782 2122 3 UC San Diego 01/01/2010 Bachelor of Science in Marketing */-Maintain the SQL order simple and efficient as you can, using valid SQL Lite, answer the following questions for the table provided above. Data Science. Data Science.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

He is passionate about generative AI and is helping customers unlock business potential and drive actionable outcomes with machine learning at scale. You can also ask the model to combine its knowledge with the knowledge from the graph. Santosh Kulkarni is an Senior Solutions Architect at Amazon Web Services specializing in AI/ML.

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Hacker News

FEBRUARY 24, 2022

The adoption of RISC-V, a free and open-source computer instruction-set architecture first introduced in 2010, is taking off like a rocket. And much of the fuel for this rocket is coming from demand for AI and machine learning. We set out to prove all those people wrong,” he says. So Esperanto engineers came up with their own.

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Flipboard

NOVEMBER 22, 2023

Full list of new or updated datasets This dataset joins 33 other new or updated datasets on the Registry of Open Data in four categories: climate and weather, geospatial, life sciences, and machine learning (ML). 94-171) Demonstration Noisy Measurement File from United States Census Bureau What are people doing with open data?

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Data Science Dojo

OCTOBER 10, 2023

A Glimpse into the future : Want to be like a scientist who predicted the rise of machine learning back in 2010? Attending global AI-related virtual events and conferences isn’t just a box to check off; it’s a gateway to navigating through the dynamic currents of new technologies.

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Smart Data Collective

MARCH 17, 2020

The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. That’s where the machine learning came to existence. Data Science is a prerequisite of machine learning. Machine learning is not limited to one type of development. Sexiest Job of 21 st Century.

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AWS Machine Learning Blog

DECEMBER 4, 2024

The structured dataset includes order information for products spanning from 2010 to 2017. The AWS infrastructure has already been deployed as part of the CloudFormation template. This historical data will allow the function to analyze sales trends, product performance, and other relevant metrics over this seven-year period.

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Ocean Protocol

MAY 2, 2024

1st Place: Ahan Ahan stood out with his application of machine learning to analyze the venture capital landscape. Annual Increase in Funding Amounts Since 2010, the average amount raised per startup funding round has increased by 15% annually. million, with an average time from initial investment to acquisition of 695 days.

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AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas.

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Clustering AWS Database ML 126

Flipboard

JANUARY 31, 2023

Together with Krieger, Systrom launched Instagram in 2010, and in 2012, they sold it to Meta for $1 billion. Kevin Systrom and Mike Krieger, who were the creators of Instagram, are back with a new project after staying out of the public eye for four years. Leaving Instagram in 2018 was reportedly …

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Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? A professional in neural networks uses machine learning as a primary instrument. With their help, AI learns to. Specialists in this area are engaged in software development, machine learning, and analysis of data obtained from various devices.

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Dataconomy

OCTOBER 22, 2024

These datasets provide the necessary scale for training advanced machine learning models, which would be difficult for most academic labs to collect independently. Increasingly, big tech companies play a pivotal role in AI research, blurring the lines between academia and industry.

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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. Salvaged vehicles for comprehensive and collision coverage.

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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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Dataconomy

JUNE 15, 2023

Nonetheless, starting from around 2010, there has been a renewed surge of interest in the field. Modern times AI technologies gained significant attention following Deep Blue’s victory against Garry Kasparov, reaching their peak around the mid-2010s. The challenge with big data lies in its volume, velocity, and variety.

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Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. But medical researchers aren’t machine learning engineers and don’t have the time or bandwidth to build these solutions themselves. This study by Bui et al.

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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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O'Reilly Media

SEPTEMBER 19, 2023

They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. It felt like, almost overnight, all of machine learning took on some kind of neural backend. Those algorithms packaged with scikit-learn?

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Ocean Protocol

AUGUST 9, 2024

Participants were tasked with developing predictive models, identifying correlations between population size and tax revenue, and assessing the impact of significant tax policy changes, such as eliminating the Professional Tax in 2010. billion pre-2010 to €1.97 billion post-2010. billion pre-2010 to €1.97

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Tableau

DECEMBER 1, 2021

Even modern machine learning applications should use visual encoding to explain data to people. Nov 2010), which allowed users to drag and drop multiple tables on one sheet. Feb 2010), which allowed students, bloggers, and data journalists to share data visualizations more broadly on the web. March 2021).

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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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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). About the Authors Dhaval Shah is a Senior Solutions Architect at AWS, specializing in Machine Learning. Feature quality is critical to ensure a highly accurate ML model.

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Dataversity

NOVEMBER 15, 2021

For instance, while there were fewer than 50 million unique malware cases in 2010, the number had […]. Cybersecurity is increasingly leaning towards artificial intelligence (AI) to help mitigate threats because of the innate ability AI has to turn big data into actionable insights.

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AWS Machine Learning Blog

SEPTEMBER 27, 2024

The step-by-step explanation is augmented with few-shot learning examples to develop an initial CloudFormation template. Let’s analyze the initial CloudFormation template: AWSTemplateFormatVersion: '2010-09-09' Description: > This CloudFormation stack sets up a serverless data processing pipeline triggered by file uploads to an S3 bucket.

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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. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

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Database AWS ETL SQL 158

Kaggle

APRIL 20, 2020

I’m a PhD student of the Machine Learning Group in the University of Waikato, Hamilton, New Zealand. My PhD research focuses on meta-learning and the full model selection problem. In 2009 and 2010, I participated the UCSD/FICO data mining contests. I’m also a part-time software developer for 11ants analytics.

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DataRobot

JULY 6, 2021

The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. Use advanced machine learning algorithms to deeply understand customer purchasing behavior.

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Smart Data Collective

APRIL 5, 2019

million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. It leverages expert systems and deep machine learning to provide actionable customer experience insights. During this time, they raised $300,000 in seed funds, $3.5 This is useful for businesses with an international presence.

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Flipboard

FEBRUARY 7, 2023

Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email address. This post is co-written with Stephen Aylward, Matt McCormick, Brianna Major from Kitware and Justin Kirby from the Frederick National Laboratory for Cancer Research (FNLCR).

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Dataconomy

JULY 12, 2023

With its advanced algorithms and machine learning capabilities, HireEZ revolutionizes the way recruiters discover and engage with potential candidates. Toptal When it comes to recruiting top AI and machine learning engineers, one highly effective approach is to utilize a platform like Toptal.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010.

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SQL AWS Analytics Analytics 130

Ocean Protocol

FEBRUARY 21, 2024

Participants created machine learning algorithms to forecast future rates of accidents and fatalities using the available public data. Reus: 302 accidents FC#3 The most severe accidents 2010–2021: What makes up all these crashes the most or least often? The challenge questions can be read directly on Desights.ai.

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