Travis Tang

Data Scientist

[Travis Tang @_travistang]

@omorokin @TDataScience The library is pretty neat, isn’t it?

[Travis Tang @_travistang]

@raulencd @TDataScience It’s Python with a relatively new library called Polars. Under the hood it’s written in Rust.

[Towards Data Science @TDataScience]

Pandas DataFrame but Much Faster by @_travistang https://t.co/5kz7uV4oyZ

[Lior Alexander @LiorOnAI]

GoogleAI just released "Muse", a text-to-image generation/editing model via Masked Generative Transformers:

- Achieves new SOTA
- Zero-shot, Mask-free editing
- Zero-shot Inpainting/Outpainting
- 900M params

📄 Paper: https://t.co/dYxscoaSku
⚙️ Project: https://t.co/aIdEQuG8B0

[Edward Tian @edward_the6]

I spent New Years building GPTZero — an app that can quickly and efficiently detect whether an essay is ChatGPT or human written

[Aaditya R. Patro | Founder, Inference @AdityaRPatro]

Run all sklearn algorithms with a line of code by @_travistang
https://t.co/GRGq515DNy v/Towards AI
@DeepLearn007 @MikeNashTech @SwissCognitive @EvaSmartAI @pierrepinna @ipfconline1 @KirkDBorne @gp_pulipaka @Analytics_699 @bimedotcom @Shi4Tech @Sharleneisenia @bulbi59
@enilev

[Data Fitter @datafitter]

4x Faster Pandas Operations with Minimal Code Change https://t.co/lTXd1p4oGm

[Towards Data Science @TDataScience]

For faster, streamlined processing of large datasets, @_travistang proposes an out-of-core approach using an open-source library. https://t.co/0b7zGzrloq

[Towards Data Science @TDataScience]

Unit Testing for Data Science with Python by @travistang_vh https://t.co/7vPDQHB50f

[Travis Tang @_travistang]

@TDataScience Author here. This is my new Twitter handle!

[Travis Tang @_travistang]

Unit tests are important for data science! They stop errors from going into production which can turn disastrous. I wrote a little guide on you can do the same. Read more here: https://t.co/GYTQodQX3O

[Travis Tang @_travistang]

Doing ML with SQL 👇

With SQL you can do
- regression
- k nearest neighbors
- naive Bayes classification
- clustering

Available in PostgreSQL, RedShift, BigQuery and some other flavors of SQL.

#machinelearning #sql #datascience #dataanalytics #analytics

[Travis Tang @_travistang]

What a milestone!

[Google DeepMind @GoogleDeepMind]

Today in partnership with @emblebi, we’re releasing predicted structures for nearly all catalogued proteins known to science, which will expand the #AlphaFold database by over 200x - from nearly 1 million to 200+ million structures: https://t.co/GjVES2pBFY 1/

[Daniel Vassallo @dvassallo]

There are two distinct types of business activities:

• One where achieving success is highly accessible and predictable (accountant, plumber, dentist).

• The other where success is dominated by chance, good timing, and randomness (musician, author, startup founder, youtuber).

[Gergely Orosz @GergelyOrosz]

One of my managers let me lead a project. I told them the project is at risk *but* I have it under control.

My manager stepped in and fully took over. I never ever reported anything being “at risk” later, even when it was.

… and this is a reason why projects suddenly get late:

[Travis Tang @_travistang]

I hate rewriting the same ML code everytime. That's why I choose to automate the process using TPOT.

Read a guide here:

https://t.co/z5rqgTTBSy

[Benedikt Berger @bergerbenedikt]

Great blogpost by @travistang_vh on how to manage #AI projects. Converges closely with the insights from our research and academic literature. https://t.co/ZgkVX3pv5L

[Travis Tang @_travistang]

3 tips I have for data analysts
1. Don't be a query monkey
2. Know the intent of data requests
3. Tell data stories

https://t.co/UmNecOlXV4

[Travis Tang @_travistang]

Insightful talk by @savvyRL. Still considering if I should go for AI Research (maybe go for a PhD) so this is definitely helpful.

[Rosanne Liu @savvyRL]

In 2020, my life was turned upside down -- I was encountering failure after failure and in deep depression. But that also turned out to be the most enlightening period. In October I was invited to give a talk at Google (thanks to @orf_bnw). It's out today: https://t.co/hYFLnH7JHV

[Travis Tang @_travistang]

I was today years old when I found these out

[Aurélien Geron @aureliengeron]

My favorite Python 3.5 feature: the matrix multiplication operator @
👇Python features thread👇