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Santiago

@svpino

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

Santiago

@svpino

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

Santiago

@svpino

24 Nov

Machine Learning doesn't need to be overwhelming.

Here is a strategy that you can use to get started without too many distractions.

🧵👇

If you start today, you'll probably feel overwhelmed by how much —apparently— you need to understand.

But it doesn't need to be like that.

You can take a much more practical approach to learn what you need and start providing value right away.

👇

Instead of starting "from the beginning," you can hack your way "from within."

The idea is simple:

1. Pick a simple problem —or an area— that's interesting to you.

2. Take the necessary steps to learn how to solve that problem.

3. Keep adding complexity as you see fit.

👇

Read 11 tweets

Santiago

@svpino

22 Nov

10 questions that spark conversations, make you think, and give you a solid foundation of practical Machine Learning.

🧵👇

(Some) interviews are broken.

They focus on trivia and expect candidates to recall concepts that aren't even relevant for the job.

This is garbage.

Instead, focus on problems that scientists and engineers face every day while doing their jobs: 👇

Acme Inc. is building a model to classify images in several different categories.

Unfortunately, they don't have a lot of images for some of the classes.

How would you handle such an imbalanced dataset?

(1 of 10)

Read 13 tweets

Santiago

@svpino

21 Nov

A plan to get a job as a Machine Learning Engineer.

🧵👇

Put in the work, level up, and get ready to demonstrate that you can deliver value.

You'll have to answer technical questions. Study up.

(If you aren't prepared, you won't pass the first round of interviews.)

(1 of 10)

Focus on showing, not telling.

What can you do today that will serve you as an asset when justifying your experience?

Creating a strong portfolio showing what you are capable of is the most important step you can take.

(2 of 10)

Read 12 tweets

Santiago

@svpino

19 Nov

Everything I know about great Software Developers.

🧵👇

1. Great Software Developers are humble.

They never put themselves above anyone else. They are willing to leverage existing solutions and listen to others.

(1 of 15)

2. Great Software Developers are self-motivated to learn.

They never stop improving and never get complacent. They understand the importance of growing their skills.

(2 of 15)

Read 24 tweets

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