Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. 3D Printing Designer.

Big Data 135

Big Data Big Data Internet of Things Data Analyst 135

Flipboard

FEBRUARY 7, 2023

Like the fully featured Amazon SageMaker Studio , Studio Lab allows you to customize your own Conda environment and create CPU- and GPU-scalable JupyterLab version 3 notebooks , with easy access to the latest data science productivity tools and open-source libraries.

AWS 132

AWS ML ML Deep Learning 132

Ocean Protocol

FEBRUARY 21, 2024

To execute, participants needed to analyze trends and patterns in historical data to identify key drivers of emissions in each region, accident type, and cause. Participants created machine learning algorithms to forecast future rates of accidents and fatalities using the available public data. Tarragona: 388 accidents 7.

Data Science 59

Data Science Data Visualization Data Scientist Machine Learning 59

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

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

Iguazio

AUGUST 3, 2023

The contributors recommend using algorithms like Apriori Algorithm to analyze the Market Basket Analysis. Historical Sales Data This dataset contains anonymized historical sales data from 45 stores. Get the dataset here. Grocery Market Basket Analysis A dataset containing nearly 39,000 rows of grocery purchase orders.

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. Filters out the specific Toronto weather station data.

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

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

Pickl AI

SEPTEMBER 20, 2024

It was initially developed at Facebook to address the challenges of managing massive data volumes for their inbox search feature. 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.

Database 52

Database Clustering Data Models Data Modeling 52

Pickl AI

OCTOBER 1, 2024

By leveraging powerful Machine Learning algorithms, Generative AI models can create novel content such as images, text, audio, and even code. Founded in 2010, DeepMind was acquired by Google in 2014 and has since become one of the most respected AI research companies in the world.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

DrivenData Labs

SEPTEMBER 10, 2024

Find, curate, or contribute data to create representative and open datasets that can be used for early prediction of AD/ADRD. Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Dr. Reid also teaches Data Science at the University of California at Berkeley.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

Hacker News

MARCH 18, 2025

And so were in a position to compare the results of human effort (aided, in many cases, by systematic search) with what we can automatically do by the algorithmic process of adaptive evolution. Butas was actually already realized in the mid-1990sits still possible to use algorithmic methods to fill in pieces of patterns.

Algorithm 172

Algorithm Machine Learning Machine Learning Data Science 172

AWS Machine Learning Blog

NOVEMBER 18, 2024

Understanding the DE-SynPUF dataset The DE-SynPUF dataset is a synthetic database released by the Centers for Medicare and Medicaid Services (CMS), designed to simulate Medicare claims data from 2008–2010. For simplicity, we use only data from Sample 1. During his spare time, he likes to play tennis and golf. He received a Ph.D.

SQL 103

SQL Database AWS AI 103