Analytics Vidhya

NOVEMBER 21, 2023

Introduction Vector Databases have become the go-to place for storing and indexing the representations of unstructured and structured data. These representations are the vector embeddings generated by the Embedding Models.

Deep Learning 274

Deep Learning Structured Data Modeling Analytics 274

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. This helps train the AI model by assigning classes to different entities in an image. The resulting structured data is then used to train a machine learning algorithm. Cohen’s Kappa) to measure inter-annotator agreement.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

O'Reilly on Data

APRIL 19, 2021

Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. This makes sense, given that we don’t see heavy usage of tools for model and data versioning. form data).

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

Domino Data Lab

MARCH 3, 2019

The first survey started as a simple exploration into mainstream adoption of machine learning (ML). What’s been the impact of using ML models on culture and organization? Who builds their models? What metrics are used to evaluate success? The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49