Dataconomy

JUNE 15, 2023

Nonetheless, starting from around 2010, there has been a renewed surge of interest in the field. Aristotle’s ideas on logic and rationality have influenced the development of algorithms and reasoning systems in modern AI, creating the foundation of the timeline of artificial intelligence.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

Kaggle

APRIL 20, 2020

In 2009 and 2010, I participated the UCSD/FICO data mining contests. What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions. I’m also a part-time software developer for 11ants analytics.

Algorithm 61

Algorithm Data Mining Data Mining Data Mining 61

Towards AI

JULY 20, 2023

As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. New research has also begun looking at deep learning algorithms for automatic systematic reviews, According to van Dinter et al. This study by Bui et al.

Natural Language Processing 87

Natural Language Processing ML ML Support Vector Machines 87

Iguazio

AUGUST 3, 2023

The contributors recommend using algorithms like Apriori Algorithm to analyze the Market Basket Analysis. While this data is not fresh, it is from 2010-2012, we added it to the list because of the holiday sales data that can be used and could still be relevant. Get the dataset here. Get the retail dataset for analytics here.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Towards AI

FEBRUARY 18, 2024

This historical sales data covers sales information from 2010–02–05 to 2012–11–01. The main goal of the algorithm is to infer the expected effect a given intervention (or any action) had on some response variable by analyzing differences between expected and observed time series data.

Python 110

Python Data Preparation Algorithm AI 110

O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

Algorithm 108

Algorithm AI AI Cloud Computing 108

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? These events often showcase how AI is being practically applied across diverse sectors – from enhancing healthcare diagnostics to optimizing financial algorithms and beyond.

AI 243

AI AI Artificial Intelligence Artificial Intelligence 243

Smart Data Collective

MARCH 17, 2020

Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. Its primary focus is to use user-generated data to good use.

Data Science 97

Data Science Data Scientist Big Data Big Data 97

Flipboard

JUNE 20, 2023

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. As a result, it opens the door for machines capable of performing many different tasks significantly better than humans.

AI 140

AI AI Deep Learning Deep Learning 140

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

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? recognize objects; give meaningful answers to questions; reach decisions that traditional computer algorithms cannot make. This should come as no surprise. It is going to continue to change the workforce in the process. With their help, AI learns to.

Big Data 130

Big Data Big Data Internet of Things Data Analyst 130

Hacker News

MAY 13, 2024

According to Constella, this email address was used in 2010 to register an account for a Dmitry Yurievich Khoroshev from Voronezh, Russia at the hosting provider firstvds.ru. But now, temporarily, until the service is fully automated, we are working using a different algorithm.” The algorithms used are AES + RSA.

Algorithm 178

Algorithm 178

AWS Machine Learning Blog

OCTOBER 10, 2023

Challenges in FL You can address the following challenges using algorithms running at FL servers and clients in a common FL architecture: Data heterogeneity – FL clients’ local data can vary (i.e., Despite these challenges of FL algorithms, it is critical to build a secure architecture that provides end-to-end FL operations.

AWS 96

AWS ML ML Algorithm 96

Towards AI

MAY 8, 2024

Established by Google in 2010, it possesses a vast assortment of geospatial data containing of petabytes of data collected by multiple satellites, such as Sentinel, MODIS, Landsat, and more for analysis. What is Google Earth Engine?

Machine Learning 77

Machine Learning Machine Learning ML ML 77

Dataconomy

JULY 12, 2023

This enables recruiters and hiring managers to make more informed decisions by considering objective data and insights generated by AI algorithms. Through the analysis of extensive data sets, AI algorithms possess the ability to match candidates with job requirements with a higher degree of precision compared to human recruiters.

Algorithm 91

Algorithm AI AI Artificial Intelligence 91

Mlearning.ai

JULY 20, 2023

In the intricate world of machine learning algorithms, probability serves as the foundational pillar. To truly decipher the mechanisms and theories of these algorithms, it’s essential to have a firm understanding of probability fundamentals. Generates a bar chart depicting the count of rainy days in June from 2010 to 2022. .

Python 52

Python Algorithm Machine Learning Machine Learning 52

Flipboard

JULY 31, 2023

Algorithms are important and require expert knowledge to develop and refine, but they would be useless without data. These datasets, essentially large collections of related information, act as the training field for machine learning algorithms. This involves feeding the images and their corresponding labels into an algorithm (e.g.,

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104

O'Reilly Media

SEPTEMBER 19, 2023

And it (wisely) stuck to implementations of industry-standard algorithms. A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” Those algorithms packaged with scikit-learn? Other groups have tested evolutionary algorithms in drug discovery.

Hadoop 99

Hadoop Algorithm ML ML 99

Flipboard

MAY 16, 2023

After co-founder and CEO Munjal Shah sold his previous company, Like.com, a shopping comparison site, to Google in 2010, he spent the better part of the next decade building Hippocratic. ” AI in healthcare, historically, has been met with mixed success.

AI 169

AI AI Algorithm 169

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 108

Clustering AWS Database ML 108

Mlearning.ai

JANUARY 31, 2023

Control algorithm. It provides an out-of-the-box implementation of Madgwick’s filter , an algorithm that fuses angular velocities (from the gyroscope) and linear accelerations (from the accelerometer) to compute an orientation wrt the Earth’s magnetic field. Depending on the context, this assumption may be too optimistic.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Hacker News

FEBRUARY 24, 2024

In 2010, Japan’s Ikaros probe to Venus demonstrated the use of a solar sail for interplanetary travel for the first time. Solutions found through diffusion and selection were superior to algorithmically or human-designed ones, but it was rare that they could be reverse-engineered or their working principles even understood.

Azure 168

Azure AI AI Algorithm 168

AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. He received his PhD from University of Maryland, College Park in 2010. Administrator Workflow Contextual search Search a set of indexed code snippets based on a few lines of code above the cursor and retrieve relevant code snippets.

AWS 86

AWS Natural Language Processing K-nearest Neighbors AI 86

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. The search precision can also be improved with metadata filtering.

SQL 105

SQL AWS Database Analytics 105

ML Review

JUNE 4, 2018

Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score. The idea of sampling an attention trajectory as an estimation was taken from a Reinforcement Learning algorithm called REINFORCE[88]. Paragios N.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

O'Reilly Media

JULY 20, 2021

After the release of the iPad in 2010 Craig Hockenberry discussed the great value of communal computing but also the concerns : “When you pass it around, you’re giving everyone who touches it the opportunity to mess with your private life, whether intentionally or not. This expectation isn’t a new one either.

ML 121

ML ML Machine Learning Machine Learning 121

Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Neural Magic Neural Magic has 6 repositories available. Follow their code on GitHub. SparseZoo: a model repo for sparse models. Connected Papers

Natural Language Processing 97

Natural Language Processing Azure Python Artificial Intelligence 97

Towards AI

JULY 21, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Neural Magic Neural Magic has 6 repositories available. Follow their code on GitHub. SparseZoo: a model repo for sparse models. Connected Papers

Natural Language Processing 52

Natural Language Processing Azure Python Artificial Intelligence 52

Flipboard

FEBRUARY 7, 2023

His team founded The Cancer Imaging Archive (TCIA) in 2010, which the research community has leveraged to publish over 200 datasets related to manuscripts, grants, challenge competitions, and major NCI research initiatives. These datasets have been discussed in over 1,500 peer reviewed publications.

AWS 97

AWS ML ML Deep Learning 97

Hacker News

FEBRUARY 2, 2023

After A New Kind of Science was published in 2002, we started our annual Wolfram Summer School (at first called the NKS Summer School)—and in 2010 our High School Summer Camp. At the time of the book STEP used an n 2 algorithm where all pairs of particles were tested for collisions; later a neighborhood-based linked list method was used.

Machine Learning 146

Machine Learning Machine Learning Algorithm Analytics 146

Flipboard

NOVEMBER 22, 2023

This dataset aims to accelerate the development of event-based algorithms and methods for edge cases encountered by autonomous systems in dynamic environments. 94-171) Demonstration Noisy Measurement File from United States Census Bureau What are people doing with open data?

AWS 84

AWS Machine Learning Machine Learning ML 84

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 112

Database AWS ETL SQL 112