Melissa van Bussel - Practical Tips for Using Generative AI in Data Science Workflows

Melissa van Bussel - Practical Tips for Using Generative AI in Data Science Workflows

Share:

Similar Tracks

Demetri Pananos - Making sense of marginal effects Posit PBC

Introducing Positron, a new data science IDE - posit conf 2024 Posit PBC

Cynthia Huang - Quarto for Knowledge Management Posit PBC

Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote Snowflake Inc.

R-Ladies Rome (English) - Using GitHub Copilot (and others LLM) with R - Yanina Bellini Saibene R-Ladies Rome

Stanford CS236: Deep Generative Models I 2023 I Lecture 1 - Introduction Stanford Online

David Keyes - Report Design in R: Small Tweaks that Make a Big Difference Posit PBC

Hannes Mühleisen - Data Wrangling [for Python or R] Like a Boss With DuckDB Posit PBC

Allen Downey - A future of data science Posit PBC

Quarto Crash Course | Create Professional Reports, Dashboards & Websites w/ Markdown & Python Code! Posit PBC

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata The Royal Institution

Updates from Posit, with Hadley Wickham, Charlotte Wickham, George Stagg, and James Blair Posit PBC

11. Introduction to Machine Learning MIT OpenCourseWare

Data for good, mentoring, and stellar internships | Sebastien Ouellet | Data Science Hangout Posit PBC

Code/Astro 2024: Day 3 Sarah Blunt

Generative AI in a Nutshell - how to survive and thrive in the age of AI Henrik Kniberg

Machine Learning for Everybody – Full Course freeCodeCamp.org

AI-900 - Learning About Generative AI John Savill's Technical Training

Navigating technology for data teams | Stanislav Seltser | Data Science Hangout Posit PBC

Chatbot using Python, NLP, and Data Science | Build Your Own Chatbot | Intellipaat Intellipaat