If you know where to look, you can 10x your skills for free.
6 cheat sheets from Stanford:
- Linear Algebra & Calculus
- Probabilities & Statistics
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Tips and Tricks
FREE download: https://t.co/jRpzI0qV0z
IMPACT SUCCESS! Watch from #DARTMIssion’s DRACO Camera, as the vending machine-sized spacecraft successfully collides with asteroid Dimorphos, which is the size of a football stadium and poses no threat to Earth.
A thread about the newly launched #DynamicWorld landcover dataset by #Google. I had early access and explored this dataset in detail. You may be very excited about this dataset, but likely for the wrong reasons. Sharing some insights, potential use cases, and pitfalls. 1/n
Did you know many tools routinely used by software developers can also be useful to data scientists?
In this post, we pull together the resources you shared to create reproducible, production-ready code & tools.
https://t.co/UP62ri01yC
#rstats
12 FREE Udemy courses! 🤑
They are gonna be free for a day or two so grab them before the promotions run out!
All of the courses have at least 4⭐!
This week: JavaScript, React, TypeScript, Firebase, Gatsby, Jest, Python, Node, MongoDB, Vue, PHP, Kotlin, SQL...
Small thread🧵
Mastering Shiny has just gone into production🎉, so now's a great to pre-order if you want a physical copy! https://t.co/r5BnEMiOBd (Or continue to read online for free at https://t.co/aby9kfwmQu) #rstats
Em 2018, eu criei um repositório no GitHub com o objetivo de listar materiais em português para estudar R. Porém recentemente eu não estava atualizando muito, e tava desorganizado.
Reorganizei o repositório, e a lista virou essa página:
https://t.co/68Cwc25IJy
#rstatsFR - Nouvel article sur le blog : "Travailler avec Git via RStudio et versionner son code"
👉 https://t.co/Y6Vty3B1X3
👍 Bonne pratique : Mettez en place le versionnement de votre code
#r#rstats
I chatted about "Building a #dataviz Bookshelf" with @jschwabish & @infowetrust on @joinClubhouse today. Pic shows those mentioned that are part of my current library (which will grow after today's convo!).
See ALL 30 titles discussed: https://t.co/IzR8bWPb71
If you have trouble getting an overview of the many scales in ggplot2, this is for you. I have written a comprehensive guide to scales with loads of examples: https://t.co/gaMFCaW0M5
#rstats#ggplot2