ODSC - Open Data Science

OCTOBER 20, 2023

The Tangent Information Modeler, Time Series Modeling Reinvented Philip Wauters | Customer Success Manager and Value Engineer | Tangent Works Existing techniques for modeling time series data face limitations in scalability, agility, explainability, and accuracy.

NLP 52

NLP Data Science Machine Learning Data Analysis 52

Towards AI

AUGUST 16, 2023

Michael Dziedzic on Unsplash I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive software development and data science experience who wanted to implement MLOps.

Machine Learning 88

Machine Learning Software Development Data Drift AI 88

The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Your data team can manage large-scale, structured, and unstructured data with high performance and durability. Data monitoring tools help monitor the quality of the data.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

ODSC - Open Data Science

FEBRUARY 24, 2023

Data Quality Now that you’ve learned more about your data and cleaned it up, it’s time to ensure the quality of your data is up to par. With these data exploration tools, you can determine if your data is accurate, consistent, and reliable.

Data Analysis 126

Data Analysis Business Intelligence Data Science Python 126

Flipboard

JULY 31, 2023

Simultaneously, businesses harness its potential to engineer products that hinge on image recognition, including image search engines, autonomous vehicles, and facial recognition software. This powerful dataset has over 330,000 images, each annotated with 80 object categories and 5 captions describing the scenes.

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

AWS Machine Learning Blog

AUGUST 29, 2023

The batch inference pipeline includes steps for checking data quality against a baseline created by the training pipeline, as well as model quality (model performance) if ground truth labels are available. If the batch inference pipeline discovers data quality issues, it will notify the responsible data scientist via Amazon SNS.

Data Scientist 72

Data Scientist Data Quality Python ML 72

AWS Machine Learning Blog

APRIL 26, 2023

Ensuring data quality, governance, and security may slow down or stall ML projects. He has a background in software engineering and AI research. You may often select low-value use cases as proof of concept rather than solving a meaningful business or customer problem. Connect with him on LinkedIn.

ML 88

ML Machine Learning Data Science Data Drift 88