DataOptimal

#DataScience learning community. Build projects, share your work, advance your career.

[Ali Spittel @ASpittel]

The third post in my #MovingPastTutorials series is out! This time, I wrote about pseudocode!

If you are staring at a blank text editor unsure where to start, this one's for you!

https://t.co/scXgGneVGu

[Storybench @storybench]

Want to build a website right in @RStudio? Here's a new tutorial from @mjfrigaard on blogdown. #rstats https://t.co/yeqO0VVYaj

[PyData @PyData]

Messy Data? Try this video on "Cleaning and Tidying Data" using Pandas from our PyData DC Meetup

https://t.co/MhSDsRAwPN

[Rachael Tatman @[email protected] @rctatman]

I took some time this morning to pull together all my #rstats tutorials on Kaggle! I've got stuff for everybody from non-programmers to people looking for NLP resources.

Hope y'all find them helpful! 🤓📚💻

https://t.co/I0FRK8U0ge

[Hadley Wickham @hadleywickham]

The R graphics cookbook is a great way to improve your visualisation skills, and it's now available online on for free! #rstats

[Yan Holtz @R_Graph_Gallery]

I just taught a 2 days course on #dataviz with #rstat. I share the course material in case it can help somebody:

https://t.co/eEVe9yGd2Y

Included: DataViz intro & caveats, ggplot2, R Markdown, and Github intro

[Mara Averick @dataandme]

🙌 Really nice side-by-side for dplyr & #rdatatable syntax…
"A data.table and dplyr tour" by atrebas
https://t.co/dT3cCBKD4G #rstats

[Grant McDermott https://bsky.app/profile/gmcd.bsy @grant_mcdermott]

I'm seriously considering turning my "Data Science for Economists" course notes into a book. https://t.co/JWmeyUzuCB

You can help me decide by answering three simple polling questions below!

(Comments and retweets appreciated.)

[Ali Spittel @ASpittel]

I have a big announcement! 🎉

New programmers tend to struggle with putting together the pieces of the puzzle when creating bigger projects.

So, I'm creating a multimedia series on problem solving, breaking down problems, debugging and more.

https://t.co/19rKPbp5ff

[Google DeepMind @GoogleDeepMind]

In our latest post, our Robust & Verified AI team introduces our work on rigorous specification-testing (catching bugs), robust training (eliminating bugs) and formal verification (proving the absence of bugs) of ML models.

https://t.co/PV9TLsqrUt

@pushmeet DJ @uesatoj @sgowal

[Jonas K. Lindeløv @jonaslindeloev]

I've made this cheat sheet and I think it's important. Most stats 101 tests are simple linear models - including "non-parametric" tests. It's so simple we should only teach regression. Avoid confusing students with a zoo of named tests. https://t.co/9PFR1ly3lW 1/n

[Imaad Mohamed Khan @Imaadmkhan1]

I recently started a series called 'Equations of Data Science'. This is the first picture in the series. Please share it with the community if you find it useful.

@jeremyphoward @_brohrer_ @chrisalbon @ruder

#datascience #machinelearning #equationsofdatascience

[Siraj Raval @sirajraval]

I'm going to attempt to crack a password in a SQL database to help fight crime in this video. In order to do so, we'll have to learn about the fundamental topics in Discrete Math (combinatorics, graph theory, set theory, number theory, logic, & recursion) https://t.co/ywH7HiwgLQ

[Mara Averick @dataandme]

🐦 Wanna use twitter data like a pro? (slides & code)
📽 "rtweet workshop: Collecting and analyzing Twitter data" by @kearneymw
https://t.co/d4jdq7EkdN #rstats #ddj

[Sebastian Ruder @seb_ruder]

My PhD thesis Neural Transfer Learning for Natural Language Processing is now online. It includes a general review of transfer learning in NLP as well as new material that I hope will be useful to some.
https://t.co/PxfVRYuyjx

[Mara Averick @dataandme]

✋ ‘If you use statistics in research, business, or policymaking but are not a statistician, these articles were indeed written with YOU in mind.’

📄 Moving to a World Beyond “p < 0.05” — @Ron_Wasserstein et al.
https://t.co/8sXMyGZW4o #statistics

[DataOptimal @DataOptimal]

Data Cleaning with R and the Tidyverse: Detecting Missing Values
#DataScience #rstats #tidyverse
@TDataScience

https://t.co/GjPtAk5c6F

[Kevin Markham @justmarkham]

Want to understand #Python exceptions? I highly recommend this post by @ConquerProgram1: https://t.co/VPD6UHAseD

New to exceptions? You'll learn how & why to use try/except/else/finally

Already using exceptions? You'll learn how to use exceptions to write more Pythonic code 🐍

[Allen Downey @AllenDowney]

Here's another example from the workshop I am presenting next week: using Python to count word frequencies, bi-grams, and tri-grams, then generate a random Grimms' fairy tale:

https://t.co/WXUenK0PRf

[DataOptimal @DataOptimal]

@_brohrer_'s content is amazing. Definitely check it out!

[End-to-End Machine Learning @E2eMl]

We have big news! @E2eMl has officially moved to @teachable as a primary platform. Check it out! There is plenty of free Building Blocks content, as well as the full Projects courses.
https://t.co/Sp4Lv73BbV