David Moore

ML platform engineering.

[merve @mervenoyann]

our book is out and I got the first copy! @andimarafioti @micuelll @orr_zohar

[DataCamp @DataCamp]

@KirkDBorne Small models are having a moment for exactly this reason, cheaper to fine-tune, easier to own end-to-end. If you're a data scientist wanting that skill, this track covers it step by step: https://t.co/jzlP0gFuwN

[Kirk Borne @KirkDBorne]

In the domain of Language Models, Small is the New Large…

[Matt Harrison @__mharrison__]

Awesome! Congrats on the new book. No small accomplishment.

(I also like the books in the background... 😉)

[Mark Tenenholtz @marktenenholtz]

This is pretty slick: LLMs integrated with Pandas.

You can:

• Run aggregations
• Automatically plot
• Easily chain GPT calls together
• Integrated w/ other LLMs, like StarCoder

Only a matter of time until we see more tight integrations like this.

[Data Science Dojo @DataScienceDojo]

💥 Distance Measures in #Statistics and #DataScience!
Source: Abacus

[freeCodeCamp.org @freeCodeCamp]

When you're working with APIs, there are some best practices you should follow.

And if you really want to learn how APIs work, build one yourself.

In this guide Jean-Marc goes over each best practice as you build a REST API w/ JS, Node, & Express.

https://t.co/EOBVeksVPG

[freeCodeCamp.org @freeCodeCamp]

Spreadsheets are a powerful tool for analyzing and visualizing data.

And using a few built-in tools, you can gain valuable insights from large amounts of data.

In this guide, @EamonnCottrell shows you how to do data visualization in Google Sheets.

https://t.co/3hNNZqmRQl

[Sidharth D @Sidharth_D_]

And so I decided to finally order the "Machine learning with Pytorch and Scikit-Learn" book.

#DataSciece
#PyTorch
#MachineLearning
#ml
#DeepLearning
#programming
#book
#python
#pythonprogramming

[Data Science Dojo @DataScienceDojo]

💥 Deep learning roadmap 2023: https://t.co/mYIzfO3JHq

#DeepLearning #Roadmap

[Matt Harrison @__mharrison__]

Love seeing happy readers.

"Harrison’s book presents the most comprehensive collection of “best practices” for cleaning and preparing data using Pandas. WARNING: might turn you into a Pandas snob…" Walter U.