ODSC - Open Data Science

OCTOBER 15, 2023

Elementl / Dagster Labs Elementl and Dagster Labs are both companies that provide platforms for building and managing data pipelines. Elementl’s platform is designed for data engineers, while Dagster Labs’ platform is designed for data scientists. However, there are some critical differences between the two companies.

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52

Dataconomy

AUGUST 22, 2024

We developed a custom data pipeline to handle the immense volume of visual data, resulting in significant cost savings and reduced human exposure to hazardous environments. One of the most promising trends in Computer Vision is Self-Supervised Learning.

ML 91

ML ML Machine Learning Machine Learning 91

IBM Journey to AI blog

AUGUST 11, 2023

How to use ML to automate the refining process into a cyclical ML process. A foundation model takes a massive quantity of data and using self-supervised learning and transfer learning can take that data to create models for a wide range of tasks. How MLOps will be used within the organization.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

DagsHub

DECEMBER 23, 2024

Libact : It is a Python package for active learning. It provides implementations of various active learning algorithms like uncertainty sampling, query-by-committee, and density-weighted methods.   Integrates well with scikit-learn and can be used with any supervised learning model.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52

The MLOps Blog

MARCH 21, 2023

Machine learning platform in healthcare There are mostly three areas of ML opportunities for healthcare, including computer vision, predictive analytics, and natural language processing. Solution Data lakes and warehouses are the two key components of any data pipeline.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Kaggle

JULY 29, 2020

David: My technical background is in ETL, data extraction, data engineering and data analytics. I spent over a decade of my career developing large-scale data pipelines to transform both structured and unstructured data into formats that can be utilized in downstream systems.

ETL 71

ETL Data Scientist Data Science Machine Learning 71

AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Amazon Bedrock is well-suited for this data augmentation exercise to generate high-quality ground truth data.

AWS 112

AWS ETL ML ML 112