Towards AI

FEBRUARY 11, 2025

The Enterprise Reality Check Heres the truth that Ive learn the hard way: The best technical solution cant fix a process problem. Others believe that innovations in reasoning models, reinforcement learning, and self-supervised learning will continue pushing the boundaries of AI capabilities.

Data Quality 53

Data Quality Data Engineering Data Engineer Data Engineering 53

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. Understanding ETL (Extract, Transform, Load) processes is vital for students. Students should learn how to train and evaluate models using large datasets.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

DagsHub

NOVEMBER 11, 2024

These capture the semantic relationships between words, facilitating tasks like classification and clustering within ETL pipelines. Multimodal embeddings help combine unstructured data from various sources in data warehouses and ETL pipelines. The features extracted in the ETL process would then be inputted into the ML models.

AI 52

AI AI Data Lakes Database 52

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