ODSC - Open Data Science

MARCH 7, 2025

European Central Bank (ECB) Statistical Data Warehouse Source: ECB Features: Interest rates, inflation, monetary policy indicators Use Cases: Macro-financial analysis, policy forecasting Access: Free API and CSV downloads 10. Feature Engineering: Identify key indicators and create meaningful features for predictive models.

Data Science 52

Data Science AI AI Supervised Learning 52

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy.

AI 70

AI AI Machine Learning Machine Learning 70

Pickl AI

AUGUST 9, 2024

Data Warehousing Solutions Tools like Amazon Redshift, Google BigQuery, and Snowflake enable organisations to store and analyse large volumes of data efficiently. Students should learn about the architecture of data warehouses and how they differ from traditional databases.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

IBM Journey to AI blog

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

APRIL 26, 2024

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Explain the difference between supervised and unsupervised learning. Data Warehousing and ETL Processes What is a data warehouse, and why is it important?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Snorkel AI

JUNE 27, 2023

First, you generate predictions and you store them in a data warehouse. For example, one person needs to go into a data warehouse with the data sources to generate the relevant data, do the feature engineering and train the model, and then hand it off to another team to deploy.

AI 52

AI AI Data Warehouse Machine Learning 52

Snorkel AI

JUNE 27, 2023

First, you generate predictions and you store them in a data warehouse. For example, one person needs to go into a data warehouse with the data sources to generate the relevant data, do the feature engineering and train the model, and then hand it off to another team to deploy.

AI 52

AI AI Data Warehouse Machine Learning 52