Ocean Protocol

MAY 2, 2024

His analysis also noted an increasing trend in funding amounts over time, with the average funding per round growing by 15% annually since 2010, reflecting the escalating scale and stakes within the venture capital ecosystem. This trend highlights Stanford’s strong network and reputation within the venture capital ecosystem.

Data Scientist 105

Data Scientist Decision Trees Analytics Analytics 105

Dataconomy

JANUARY 2, 2024

” Unlike the millennials who grew up with a pre-algorithm Facebook, centered around personal networks, Gen A is growing up with TikTok, a platform that broadens their exposure to a diverse range of content and creators. MaryLeigh Bliss, Chief Content Officer at YPulse, highlights this by saying, “Anyone can go viral at any moment.”

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Algorithm AI 113

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.

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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 120

Data Science Data Scientist Big Data Big Data 120

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.

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Algorithm Data Mining Data Mining Data Mining 61

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.

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AI AI Data Observability Artificial Intelligence 243

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.

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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

AI 45

AI AI Data Scientist Cross Validation 45

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

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 98

Natural Language Processing Azure Python Artificial Intelligence 98

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 96

Natural Language Processing ML ML Support Vector Machines 96

AWS Machine Learning Blog

NOVEMBER 26, 2024

However, LLMs such as Anthropic’s Claude 3 Sonnet on Amazon Bedrock can also perform these tasks using zero-shot prompting, which refers to a prompting technique to give a task to the model without providing specific examples or training for that specific task.

ML 109

ML ML AI AI 109

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.

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AI AI Deep Learning Deep Learning 158

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.

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Big Data Big Data Internet of Things Data Analyst 135

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 Machine Learning Machine Learning AI 91

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 181

Algorithm 181

Towards AI

JULY 20, 2023

How to source data correctly for AI algorithms and reduce bias-ness Just like the dragons in Dreamworks’ 2010 film ‘How to Train Your Dragon’, AI systems are often … [+] Dreamworks Animation Untrained dragons can cause a lot of damage.

AI 40

AI AI Algorithm Artificial Intelligence 40

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

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 115

Python Data Preparation Algorithm AI 115

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 98

Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

JULY 15, 2024

In our pipeline, we used Amazon Bedrock to develop a sentence shortening algorithm for automatic time scaling. Here’s the shortened sentence using the sentence shortening algorithm. 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

OCTOBER 23, 2024

Data retrieval and augmentation – When a query is initiated, the Vector Database Snap Pack retrieves relevant vectors from OpenSearch Service using similarity search algorithms to match the query with stored vectors. The retrieved vectors augment the initial query with context-specific enterprise data, enhancing its relevance.

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AI AI Database AWS 93

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

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.

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AWS ML ML Deep Learning 132

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

AWS Machine Learning Blog

SEPTEMBER 11, 2024

This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU.

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AWS ML ML Clustering 117

Hacker News

DECEMBER 19, 2024

He was also the driving power and creative mind behind TorrentFreak TV , which offered more room to improve his skills between 2008 and 2010. Whether thats via the person watching more of my content but seeing ads, telling their friends about it, or maybe just showing the algorithm that its worth watching and spreading the reach.

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Algorithm AI AI 149

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

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

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

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 124

AWS Natural Language Processing K-nearest Neighbors Computer Science 124

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

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

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.

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ML ML Machine Learning Machine Learning 135

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

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.

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SQL AWS Analytics Analytics 130

Pickl AI

SEPTEMBER 20, 2024

Released as an open-source project in 2008 and later becoming a top-level project of the Apache Software Foundation in 2010, Cassandra has gained popularity due to its scalability and high availability features. Uber: Leverages MongoDB’s geospatial queries for efficient routing algorithms in their ride-sharing platform.

Database 52

Database Clustering Data Modeling Data Models 52