9 Tweets 12 reads Dec 04, 2022
I started my career in Data Science back in 2016.
Here's a list of courses that I took!!
A Thread 🧵👇🏻
1️⃣ Machine Learning by Andrew Ng
Tested by time and taken by millions.
Arguably the best course to start with 👍🏼
Check this out 👇
coursera.org
2️⃣ Stanford: CS231n
Started by Andrej Karpathy in 2015, is one of the most famous courses at Stanford today.
I was working on a computer vision problem and this proved to be a gold mine!!
Check this out 👇
youtube.com
3️⃣ Deep Learning Specialization by Andrew Ng
Again one of the most trusted & widely taken courses to start with deep learning.
Check this out 👇
coursera.org
4️⃣ Statistics; Khan Academy
I have a background in Mathematics but I refer this series even today.
Taught by Sal Khan himself, this series is excellent and beginner friendly!!
Check this out 👇
khanacademy.org
5️⃣ Deep Learning for Coders
By @jeremyphoward
Again a great lecture series that teaches you the tricks of trade in training and evaluating deep learning models.
A top down approach, recommended for programmers!
Check this out 👇
fast.ai
6️⃣ Bayesian Statistics Specialization
A beginner friendly guide to bayesian statistics!!
Available for FREE on coursera.
Check this out👇
coursera.org
7️⃣ Natural Language Processing with Transformers
Truly a delight for coders who want to learn & build with NLP!
Really enjoying this book by @_lewtun.
Check this out👇
huggingface.co
That's a wrap!
If you are interested in:
🐍 Python
📈 Data Science
📊 Data Viz
🤖 Machine Learning
🧮 Maths for ML
🛠 MLOps
🐼 Pandas
🎥 Computer Vison
🗣 NLP
✔️ Follow me → @akshay_pachaar
I'll be using Twitter to share a lot of content that you wouldn't wanna miss. 🎉

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