My best Twitter content

This is a list of links to some of my best threads. Threads are grouped based on theme and sorted more or less by how I think they should be read.

Intro to Machine Learning

A list of short threads introducing the most relevant concepts in machine learning.

On select Mondays I write threads about some of the greatest ideas in AI and computer science in general.

Language models are one of the hotest topic in machine learning and particularly in NLP. https://twitter.com/alepiad/status/1440601793415634944
Generative Adversarial Networks are one of the coolest generative models, especially well-suited for image synthesis. https://twitter.com/alepiad/status/1439877017248407555

On select Tuesdays I write about technical stuff, tools, frameworks, and apps that you can use right away.

AutoML is a practical approach to the progressive automation of the most boring machine learning tasks. https://twitter.com/alepiad/status/1440369541209493508
A list of 10 AutoML tools that you can use today. https://twitter.com/alepiad/status/1513913374010228740

On select Wednesdays I write threads with advice for communication, career progress, and being a nice human being in general.

Presenting an idea with the Why-What-How framework. https://twitter.com/alepiad/status/1308776873552420864
The Vision-Steps-News-Contribution framework for presenting ideas. https://twitter.com/alepiad/status/1410163990043541505
Three lessons on the interaction between academia and the industry when creating ML-based solutions. https://twitter.com/alepiad/status/1541981404359172096
Tips to improve your technical writing skills that don't require talent or any source of divine inspiration. https://twitter.com/alepiad/status/1407626631758315526
Three health habits for grad school that helped me survive my PhD with minimum psicological damage. https://twitter.com/alepiad/status/1440601793415634944
My process for making a literature review that doesn't suck and doesn't bore you to death. https://twitter.com/alepiad/status/1415237162056966144

On select Thursdays I write intuitive explanations for theoretical topics in Computer Science.

Algorithmic complexity allows us to compare algorithms regardless of the tech stack in which they run. https://twitter.com/alepiad/status/1440964182342610946
NP-Completenes is the study of the most complex problems in Computer Science. https://twitter.com/alepiad/status/1453647754362859520
P vs NP is the question of whether all problems are as easy to solve as to validate.
https://twitter.com/alepiad/status/1451111039207096323
The halting problem is the most famous undecidable problem in Computer Science.
https://twitter.com/alepiad/status/1537764283475447808

On select Fridays I write threads about philosophical topics in Computer Science.

Random stuff I've written on several topics.