I started my Machine Learning career in 2018 and it has been a fascinating ride so far.

For those starting out, here's a simple roadmap you can follow.

(A thread) 🧵👇

First and foremost: Learn concepts from the first principle!!

After a lot of exploration, I found @brilliantorg AI courses closely resemble the idea of teaching from first principles.

Plus, learn on-the-go with their convenient mobile app!!

Here is a glimpse of that 👇

@brilliantorg Focus on building a strong foundation in Probablity and Statistics. These are the building blocks of AI and having a solid grasp of them is crucial.

@brilliantorg has got you covered with interactive bite-sized lessons so you can learn at your own pace.

@brilliantorg Next, you should learn Python the language of Machine Learning. Knowing Python will make it easier to work with data and build models.

@brilliantorg Then dive deeper into the world of Artificial Neural Networks that works just like your brain. Learn from practical examples and easy-to-understand analogies!

@brilliantorg Don't just stop there, you have the entire world to conquer. After finishing the ANN part, get started with the Convolutional Neural Network and Recurrent Neural Network part.

@brilliantorg By clicking on the link below, you can begin learning Data Science and ML for free on Brilliant, and additionally, you can avail a 20% discount on an annual membership 👇

brilliant.org/ShubhamSaboo/

@brilliantorg If you found this helpful, two requests:

1. Follow me @Saboo_Shubham_ to read more such content and RT for others to see it as well.
2. Subscribe to my weekly newsletter unwindai.substack.com to stay updated with all the latest AI developments.