Learn machine learning by actually doing it
QuiddityML teaches the full ML stack with a clear roadmap, short lessons, 11 types of hands-on exercises, spaced repetition, interview questions, and portfolio projects. Learn it once, then keep it.
- hands-on exercises
- 11,000+
- User rating
- 5.0 ★
Build understanding that holds
Not just watching and forgetting. QuiddityML takes you through structured tracks, hands-on coding exercises, and built-in spaced repetition that makes sure what you learn actually sticks.
Reading or watching videos is passive. QuiddityML makes you actually do the work. Progress through 4 tiers of difficulty, from recognizing concepts to implementing models from scratch, with live feedback on every answer.
QuiddityML tracks how well you know each concept and reminds you to review at exactly the right moment. No more forgetting what you learned last week.
Start from the basics, then work through real equations, code, diagrams, and model behavior deeply enough to read papers and build your own systems.
Learn it. Test it. Keep it
Each concept moves through the same loop: understand it, use it, then review it before it fades.
Each concept starts with slides: clear explanations, diagrams, equations, and worked code examples. Real depth, not bullet points. You read and understand before anything gets tested.
After each concept, exercises push you past basic recall. Spot bugs, fill in implementations, write code from scratch. You can't just skim your way through.
Spaced repetition schedules each concept based on how well you actually did, not just that you finished it. Struggled on an exercise? It comes back in a day. Nailed it? It waits weeks. Your review queue is built entirely from your own results.
Practice should look like the work itself
QuiddityML exercises are built around the things ML people actually do: recognize concepts, connect math to code, debug broken systems, and build models from scratch.
Recognize
Connect
Debug
scores = q @ k.transpose(-2, -1)
scores = scores / math.sqrt(d_ff)
weights = softmax(scores)
Build
Try real exercises, right here
These are real exercises from the app. 11,000+ more are waiting.
From fundamentals to the frontier
Start with math and ML foundations, then branch into NLP, retrieval, vision, RL, generative models, interpretability, safety, and many more areas of modern AI.
ML Foundation
Optimization, neural networks, backpropagation, and the core concepts behind modern ML.
Intro to NLP
Tokenization, embeddings, language models, and attention.
Retrieval & Search
Ranking, embeddings, and search-powered products.
RL Foundation
Rewards, value functions, policies, and exploration.
Mathematical Toolkit
Notation, logarithms, combinatorics, and Big-O.
Turn understanding into interview answers and project work
Every unit ends with questions tied to the material you just learned: concepts, coding, system design, and follow-ups.
Build small, real projects that prove you can apply the ideas outside the lesson.
What people say about QuiddityML
Copied word for word from the App Store and from learners on the web app. We never edit them, and we never pay or reward anyone for a review.
★★★★★Great appLooks good and well explained concepts. A lot of variety and not shallow
★★★★★The best app I've found!Such an amazing and helpful app! I wish everyone knew about it!
★★★★★This is the bomb diggityI've really been enjoying QuiddityML! The lessons are clear, interactive, and make complicated machine learning concepts much easier to understand. I especially like the hands-on exercises and the way the app encourages you to actually think through problems instead of just memorizing information
★★★★★Never seen anything like thisI've been looking for ways to customize an AI to execute specialized functions for my needs. I'm pretty sure this app just came out, but my goodness, this is exactly what I've been looking for. It teaches every step to building an AI. It literally goes through the basics to applying advanced concepts. The creator has been open and responsive to feedback, so the app is constantly being updated. Love this app and I can't believe I landed on it.
★★★★★Highly recommendedFun and easy way to learn machine learning. Very comprehensive.
★★★★★Love it!I've been trying to get into machine learning for months, and there's just so much content and so many resources that it's overwhelming. Some have way too much theory, some don't have enough, courses are too long and outdated, and books are just boring. I honestly love this app. It makes learning ML actually fun, and the spaced repetition thing is brilliant. I'm surprised no one else did it before. The lessons are clear, visual, and broken into pieces that actually build on each other instead of dumping theory on you all at once. I also really like that it explains the "why" behind concepts, not just definitions, and has different exercises that build on each other and actually make you learn how to code these things. Also the axolotl is adorable
QuiddityML vs books, YouTube, and courses
Each option is good at something. QuiddityML is the only one that puts hands-on practice, spaced review and a full roadmap in one place.
| QuiddityML | BooksHands-On ML, ISLR | YouTubeStatQuest, 3Blue1Brown | MOOCsAndrew Ng on Coursera, fast.ai | Interactive sitesDataCamp, Brilliant, Kaggle Learn | |
|---|---|---|---|---|---|
| Spaced repetitionShaky concepts come back before they fade | |||||
| 11 hands-on exercise typesWrite, debug and read real code and math | |||||
| One roadmap, 13 tracksPython and PyTorch through NLP and vision, in order | |||||
| Interview questions every unitExplain concepts the way interviews ask | |||||
| A project at the end of every trackBuilt from concepts you've practiced | |||||
| Math in contextLearn the math where it comes up | |||||
| Instant feedbackSee why an answer is wrong right away | |||||
| 5-minute lessonsEasy to fit into a busy day | |||||
| Web, iPhone and MacProgress syncs across devices |
Start free. Pay only if you want everything.
No card needed to start. Spaced repetition, the review queue, and progress tracking are included in both plans.
Enough to learn the foundations properly and decide if this is for you.
Everything, in any order, with no hearts to run out.
Frequently asked questions
Who is QuiddityML for?
Complete beginners with no coding background, students, career switchers, and professionals preparing for ML interviews. Non-coders can take ML Foundation Light.
Do I need to know math or coding first?
No. The Python track starts from zero, and the math is taught where it comes up.
Is QuiddityML free?
Yes. The full Python, NumPy, PyTorch, and Math tracks and Unit 1 of every other track are free. Pro is $19.99/month or $149.99/year with a 7-day free trial.
What code do the exercises use?
Real PyTorch, the framework most ML research and industry teams use, and every exercise is graded.
Where can I use it?
On iPhone and Mac from the App Store, or in any browser at app.quiddityml.com.
Want to contribute, ask something, or just say hi? Email [email protected]
Become the person who understands it deeply enough to change it
Move from recognizing ML terms to reasoning through the math, debugging the code, explaining the tradeoffs, and building systems of your own.
