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.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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.

AI 158

AI AI Deep Learning Deep Learning 158

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.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

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.

AI 143

AI AI Machine Learning Machine Learning 143

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.

Azure 121

Azure SQL Data Science Database 121

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?

AWS 100

AWS Machine Learning Machine Learning ML 100

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.

AI 243

AI AI Data Observability Artificial Intelligence 243

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.

Data Science 121

Data Science Data Scientist Big Data Big Data 121

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.

AWS 109

AWS AI AI SQL 109

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.

Data Scientist 105

Data Scientist Decision Trees Analytics Analytics 105

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.

Clustering 126

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 …

Computer Science 65

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 65

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.

Big Data 135

Big Data Big Data Internet of Things Data Analyst 135

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.

AI 113

AI AI Natural Language Processing Machine Learning 113

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.

AWS 135

AWS AI Python AI 135

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.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

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.

Natural Language Processing 97

Natural Language Processing ML ML Support Vector Machines 97

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.

AWS 124

AWS ML ML Algorithm 124

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?

Hadoop 135

Hadoop Algorithm ML ML 135

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

AI 45

AI AI Cross Validation Data Scientist 45

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).

Tableau 145

Tableau ML ML Database 145

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.

AWS 129

AWS ML ML Big Data 129

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.

ML 129

ML ML AWS SQL 129

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.

Big Data 52

Big Data Big Data Artificial Intelligence Artificial Intelligence 52

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.

AWS 127

AWS AI AI Computer Science 127

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.

Database 158

Database AWS ETL SQL 158

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.

Big Data 101

Big Data Big Data Artificial Intelligence Artificial Intelligence 101

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.

AI 105

AI AI Machine Learning Machine Learning 105

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.

Algorithm 61

Algorithm Data Mining Data Mining Data Mining 61

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).

AWS 132

AWS ML ML Deep Learning 132

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.

Algorithm 91

Algorithm Machine Learning Machine Learning AI 91

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.

SQL 131

SQL AWS Analytics Analytics 131

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.

Data Science 59

Data Science Data Visualization Data Scientist Machine Learning 59

Towards AI

NOVEMBER 17, 2023

Red Bull won the constructors championship from 2010 to 2013. Valtteri Bottas has consistently performed for Mercedes, always finishing in the top 5 of the standings. Image by Author Mercedes continues to dominate f1, winning the constructors championship from 2014 to 2021.

Data Science 118

Data Science Tableau Data Analysis Data Analysis 118

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).

Tableau 98

Tableau ML ML Database 98

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU.

AWS 119

AWS ML ML Clustering 119

Towards AI

FEBRUARY 18, 2024

This historical sales data covers sales information from 2010–02–05 to 2012–11–01. Dataset: [link] Out of the three files present in the dataset, I used the Sales dataset.

Python 115

Python Data Preparation Algorithm AI 115