Machine learning is a fast evolving fields. There are thousands of concepts to learn. These flashcards are designed to help you memorize key concepts in machine learning rapidly and enjoyably.
Every card in this set is dedicated to unpacking a single, unique concept in machine learning. The aim is to distill the essence of the idea, offering a clear but accurate explanation. The scope of the concepts covered is wide, catering to a broad spectrum of ML and AI knowledge.
Each flashcard is created with the goal of making the learning experience more engaging and less tedious than traditional textbook reading. The layout is visually appealing and the language used is concise and digestible, breaking down complex ideas into simpler terms.
The flashcards are designed with flexibility in mind. You can conveniently print them out four to a page for easy printing. If you prefer a digital version, you can load them onto your phone, making them easily accessible wherever you go. Additionally, we've provided an Anki deck format that can be directly imported into any Anki flashcard mobile app, allowing for seamless integration with your existing study tools.
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No, but not due to lack of trying. This is a small side project, and inquiries to printing companies made it clear selling physical cards would be incredibly costly (one printer quoted me $45 per deck) and would require me to manage inventory and shipping. So unfortunately I cannot sell any physical cards.
I recommend three options:
Send me an email at cralbon a.t. gmail com for a professional invoice.
Absolutely! Want to use the art for a custom bed sheet, towel, skirt or something else? Go right ahead. I just ask that you don't sell it.
Despite my best efforts, there will be errors in the cards. If you find an error, send me a message on Twitter and I will fix it.
I made them because when I was (and still am) learning machine learning, I found it incredibly helpful to memorize concepts explicitly rather than reading books and hoping concepts stuck.
I did! Chris Albon. You can find me on Twitter.