Netflix Tech

NOVEMBER 13, 2023

Music information retrieval There are a few studio use cases where music activity metadata is important, including quality-control (QC) and at-scale multimedia content analysis and tagging. Training examples were produced between 2016 and 2019, in 13 countries, with 60% of the titles originating in the USA.

Datasets 89

Datasets Metadata Algorithm Architecture 89

ProjectPro

JULY 2, 2021

A survey conducted by Gartner revealed in 2019 that 37% of the surveyed companies have started implementing AI in their day-to-day tasks, thus signifying a 270% increase in the last four years (w.r.t. If a machine learning algorithm falsely predicts a negative outcome as positive, then the result is labeled as a false negative.

Algorithm 40

Algorithm Machine Learning Recruitment Banking 40

AltexSoft

OCTOBER 25, 2021

Say, the system can tag data from patient history, discharge summary, or call center reports and then structure them in an EHR according to a schema. NLP can provide way more information for CDSS from sources that it wouldn’t use otherwise and power predictive analytics. Improve patient interaction and engagement. Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

Pinterest Engineering

JANUARY 26, 2024

We shared details about our former policy delivery system in a conference talk from Kubecon 2019. Namely, some systems were misattributed to owners due to stale ownership data, and many systems did not follow standard, predictable naming conventions. Figure 1: Old policy distribution architecture, using S3 and Zookeeper.

Engineering 76

Engineering Architecture Systems Metadata 76

ProjectPro

JANUARY 20, 2022

The ai and machine learning job opportunities have grown by 32% since 2019, according to Linkedin’s ‘ Jobs on the Rise ’ list in 2021. Machine learning allows software applications to improve their prediction accuracy without receiving specific training. But how does this happen?

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. You need professional tagging tools designed for machine learning purposes. Sometimes making predictions from X-rays is just boring.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

AUGUST 28, 2021

ML Project on Demand Prediction of Driver Availability using Multistep Time Series Analysis The project’s objective is to predict driver availability in a given area using multi-step time series analysis. We can efficiently allocate active drivers to areas likely to experience a lack of drivers with a demand prediction model.

Portfolio 52

Portfolio Project Datasets Algorithm 52