KDnuggets

JUNE 9, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Run the Full DeepSeek-R1-0528 Model Locally Running the quantized version DeepSeek-R1-0528 Model locally (..)

Natural Language Processing 316

Natural Language Processing Data Science Machine Learning Machine Learning 316

databricks

JUNE 12, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Data Engineering 230

Data Engineering Data Engineer Data Engineering Data Engineering 230

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 230

Python Natural Language Processing Data Science Machine Learning 230

Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

MAY 20, 2019

It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts. The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

MARCH 19, 2025

Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing. Talend Talend is a data integration tool that enables users to extract, transform, and load (ETL) data across different sources.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52