Santiago Profile picture
21 Dec, 4 tweets, 1 min read
Rumors are going around that Twitter cripples tweets that include links.

There's nothing in their official documentation, but a lot of people think that's the case.

I thought this through, and I will not play along.

🧵👇
Allegedly, if I disable the links, my tweets will get much more impressions because Twitter will push them to more people.

Assuming this is the case, what's the cost?

My followers will have to start copying, then pasting any links that I post.

(2 / 4)
Seems like a small nuance, but reading comments on tweets with disabled links, the process is very error-prone and a lot of people have trouble accessing the content.

This is not what I want.

(3 / 4)
Disabling links is only self-serving. Nobody else benefits from me doing it. In fact, the tweets become worse for everyone!

This is exactly the opposite of what I want.

If impressions suffer because of it, so be it. At least those who see my content will enjoy it.

(4 / 4)

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More from @svpino

22 Dec
The 8-step quick-start guide to learn Machine Learning.

🧵👇
1⃣ Start with Python 🐍

Yes, you can do other languages, but Python is by far the most straightforward option.

👇
2⃣ Get familiar with numpy, pandas, and matplotlib

These three libraries are probably the most common Python libraries you'll have to use every day.

(Even if you don't end up doing machine learning, these libraries are awesome and useful.)

👇
Read 10 tweets
3 Dec
Transitioning from Software Engineering to Machine Learning.

🧵👇
I'll tell you my story.

It might work for you. It might not.

Hopefully, it gives you another perspective. Hopefully, it helps.

(2 / 14)
Many people see "Software Engineering" and "Machine Learning Engineering" as two completely different specialization areas.

There are many differences, for sure.

But I personally like to think about them as a single, fluid, all-encompassing position.

(3 / 14)
Read 14 tweets
2 Dec
The HTML + CSS Twitter conspiracy.

A tread 🧵👇
A lot of people out there recommend starting with HTML and CSS to aspiring developers.

They suggest this combination is a stepping stone for you to reach your goals.

That's nonsense.

(2 / 9)
There's absolutely nothing wrong with HTML and CSS.

But they aren't necessarily the foundation that you need when starting out.

Yes, they are simple to learn compared to a fully-fledged programming language, but they are also very different.

(3 / 9)
Read 9 tweets
1 Dec
Django versus Flask versus FastAPI.

🐍 🧵👇
Django

▫️ Rapid development
▫️ A lot of out-of-the-box functionality
▫️ Easy for building complex, full web applications
▫️ MVC design paradigm
▫️ Robust security features
▫️ Extensible (a lot of components out there)
▫️ Large community

👇
Flask

▫️ Very light
▫️ Doesn’t make decisions for you
▫️ Doesn’t bring anything that you don’t need
▫️ Modular, so it’s easy to extend
▫️ You can plug in your favorite ORM
▫️ Great documentation
▫️ Very easy to start with
▫️ Large community

👇
Read 5 tweets
30 Nov
Here is every course that I've taken over the last 5 years to work full-time in Machine Learning applications:

🧵👇
(I took the following four classes while going through my Masters at Georgia Tech):

- Machine Learning
- Reinforcement Learning
- Reinforcement Learning for Trading
- Computer Vision

👇
(The following three courses are available through Coursera, and I recommend them for anyone trying to start):

- Machine Learning
- Deep Learning Specialization
- TensorFlow In Practice Specialization

👇
Read 5 tweets
25 Nov
Working on problems is the best way to learn Machine Learning.

Here are 10 projects to start your journey.

🧵👇
I picked all 10 projects from Kaggle.

When you are getting started, having a community ready to help is very important.

Also, every one of these problems has been solved by many people, and you can find those answers if you get stuck!

👇
I sorted the problems in the way I'd recommend you to start.

They more or less increase in complexity as you move through the list.

Let's get started!

👇
Read 14 tweets

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