Data Science #8

In this issue: five charts that changed the world; skills the next generation of data scientists needs to develop; interactive demonstration of Ridge regression and intro to hyperparameter tuning; experiment interpretation and extrapolation; geospatial data science with Julia; data management principles for data science; and more.

The sponsor of this issue is Fiddler.

• [BBC] Five charts that changed the world
• [HBR] 4 skills the next generation of data scientists needs to develop
• 6 magic commands for Jupyter notebooks in Python data science

• [Sponsored] AI Forward 2023: LLMs in the Enterprise - From Theory to Practice

Learn how to overcome LLMOps challenges in pre- and post-production, build enterprise LLM infrastructure, and deliver measurable business value, including hands-on workshops and expert panel discussions with data science leaders. Register now for AI Forward 2023 — a FREE one-day virtual summit!

• Finetuning LLMs with LoRA and QLoRA: insights from hundreds of experiments
• Interactive demonstration of Ridge regression and intro to hyperparameter tuning
• Experiment interpretation and extrapolation
• [Sponsored] AI Forward 2023: LLMs in the Enterprise - From Theory to Practice
• [Book] Geospatial data science with Julia
• Data management principles for data science

Enjoy the newsletter? Help us make it bigger and better by sharing it with colleagues and friends.

Don't forget to like or comment so that the LinkedIn algorithm keeps you subscribed.