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Santiago Profile picture
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4 Jun, 6 tweets, 3 min read
Many online courses are useless. They will not get you anywhere.

But there are gems out there.

Here is a curated list that will help you build a machine learning career without paying a fortune in tuition fees. ↓
5 specializations and 1 course, all from a single platform: Coursera.

Take these in order, and you'll end up with more than enough ammunition to tackle real-life problems.

Here is your roadmap: svpino.com/a-machine-lear…
If you find this useful, follow me @svpino, and I'll help put some practical machine learning thoughts right on your timeline.

And if you are looking for ideas that don't fit on Twitter, you can join the other 3,200+ subscribers of my newsletter: digest.underfitted.io.
If you finish a course, and the only thing you have to show for it is inside your head, you wasted your time.

Prioritize certifications that force you to learn new material.

Certificates are nice. Knowledge is 100x better.

fastai is an amazing Deep Learning course for developers. It focuses on the library with the same name that sits on top of PyTorch.

The courses I recommend here use TensorFlow.

None of them is better. They are just different.

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More from @svpino

Santiago Profile picture
3 Jun
The machine learning setup I've been using in 2021:

• Python
• NumPy, Pandas, Matplotlib, OpenCV
• Scikit-Learn, XGBoost
• TensorFlow
• Google Colab, Jupyter, VSCode
• Docker, Flask
• AWS SageMaker
• A 48-page Field Notes
This setup hasn't changed in a while, but I plan to introduce something new: Google's Vertex AI.

How can this platform help with production systems?

I guess we'll find out together.

Follow me @svpino for a practical point of view on machine learning stuff.
It doesn’t need to be like this.

Upload the data somewhere else. Maybe to an S3 bucket, Google Drive, anywhere.

Then download it from the Colab notebook.

This will be fast and reproducible every time you restart the notebook.
Read 8 tweets
Santiago Profile picture
3 Jun
If you are looking to 10x your career:

• Algorithm analysis
• Data structures
• Sorting and searching
• Graphs and traverse methods
• Combinatorial search and heuristic methods
• Approximation algorithms

And this book has it all: amzn.to/3rDngoi Image
I'm a Machine Learning Engineer.

A portion of what I do is specifically related to modeling and data. The rest is software engineering.

Foundational knowledge of algorithms and data structures is key for my job.

There's a third edition of the book released last year. If you are planning to buy it, it's probably a good idea to look for that one.
Read 4 tweets
Santiago Profile picture
31 May
A recipe to get a job in machine learning:

• Get foundational knowledge
• Choose an area to specialize
• Start solving problems
• Write about your solutions
• (Networking is a plus)
• Start applying to job postings

Let's talk about getting foundational knowledge. ↓
These are my most basic recommendations:

• Introduction to Python Programming (Udacity)
• Machine Learning Crash Course (Google)
• Machine Learning (Coursera)

If nothing else, these 3 courses will give you most of what you need.

↓
If you don't have a lot of experience with Python, better to spend more time with it:

• Programming with Python (Brilliant)
• The Official Python Tutorial
• Book: Python Crash Course

Start solving problems as soon as you can.

Tutorial → Problem → Repeat.

↓
Read 9 tweets
Santiago Profile picture
31 May
A Master's degree in Computer Science can change your life.

I went to Georgia Tech's Master's program. I graduated with a Machine Learning specialization. This is one of the best decisions I've made in my life.

Here is every class I took and how much money I paid.

↓
The list of classes (3 credits each):

1. Machine Learning
2. Computer Vision
3. Reinforcement Learning
4. Intro to Graduate Algorithms
5. Machine Learning for Trading
6. Database Systems Concepts and Design
7. Software Development Process
8. Software Architecture and Design
9. Human-Computer Interaction
10. Advanced Operating Systems
11. Software Analysis and Testing

33 total credits (you only need 30 to graduate.) It took me 4 years to go through all the classes (2015-2019). I was 35 when I started.

I paid $9,020 for the whole thing. That's it!
Read 5 tweets
Santiago Profile picture
30 May
Top 5 machine learning stories.

I just reached a couple of milestones:

• 3,000 newsletter subscribers
• 1,000 Medium followers

Just like my Twitter account, all of this is purely centered around machine learning.

Here are the best 5 stories I've published: ↓
Are you ready for machine learning math?

My recommendations to learn the Math you need for machine learning.

You'll learn an approach that will help you succeed without getting overwhelmed.

svpino.medium.com/are-you-ready-…
How do I learn new things?

My—somewhat unconventional—approach for getting new knowledge and staying up to date with everything happening in my field.

You'll learn a list of practical tips to improve your process.

svpino.medium.com/how-do-i-learn…
Read 8 tweets
Santiago Profile picture
26 May
Wanna change your life?

Start learning machine learning.

1,500+ people have gone through this course, and they loved it!

Next 50 people: $5 only. Gratis for those who can't afford it.

→ gum.co/kBjbC/505

If you can't pay, let me know, and I'll give you a free copy.
Update:

• 22 copies sold.
• 28 copies left.
Only 10 spots left.
Read 12 tweets

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