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Hey there! My name is Ivan and I’m currently a software engineer who’s trying to teach myself machine learning on the side. Here’s a growing list of the notes which I’ve taken on the topic - I’ve also added in some simple system design notes and software stuff since they all sort of come together.

I’ve also started reading some Papers on machine learning if you’d like to check out my notes.

Courses I am doing

• Byte Byte Go Course
• Introduction To Linear Algebra
• Neural Networks From Scratch

Finished Courses

• Zero To Hero by Andrej Karpathy
• Grokking Algorithms by Aditya Y. Bhargava
• Stanford Introduction To Statistics

Abandoned §

• The Definitive Guide to Celery and FastAPI : I have abandoned this for now. I think the instructor has a very production heavy build in mind with a lot of boilerplate which is overkill for my usage for now.

Potentially In The Future

Here are some resource which I find interesting but haven’t gotten around to working on yet

• Guarev Sen
• System Design Fight Club
• Lewis Lin System Design
• Stanley Chiang System Design

I need to work a bit more on Machine learning

• convolutional-networks
• CS25 - Stanford Seminar
• www.deeplearningbook.org
• index.html

Here are some resources on good ml papers to look through

• awesome-ai-papers
• tuning_playbook
• nn.labml.ai