>>6560
>Assuming that I only have basic programming in python, dedication, love for robowaifus but no maths, no statistics, no physics, no college education how can I get advanced enough to create AI waifus?
Creating a simple chatbot AI with a seq2seq network in Python is possible without any mathematical knowledge. However, it won't be very good or keep your attention long and you won't be able to improve on it until you understand how it works. At the minimum you should study matrices, calculus, statistics, linear algebra and programming. Once you have a basic understanding of those fundamental topics, then you can jump into learning whatever area of AI that interests you and focus on studying topics that are relevant to you. I'll dump some good textbooks on these later in

>>235
For a deeper understanding you should also study trigonometry, discrete mathematics, differential equations, Fourier transforms, and entropy and information theory. In discrete mathematics you'll wanna pay special attention to graphs and search algorithms.
I recommend 3Blue1Brown's channel for learning mathematics:

https://www.youtube.com/c/3blue1brown/playlists
He also did a really good series explaining how neural networks work:

https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
DeepMind has a comprehensive deep learning course here:

https://www.youtube.com/watch?v=iOh7QUZGyiU&list=PLqYmG7hTraZCkftCvihsG2eCTH2OyGScc
And a good reinforcement learning course:

https://www.youtube.com/watch?v=ISk80iLhdfU&list=PLqYmG7hTraZBKeNJ-JE_eyJHZ7XgBoAyb
Henry AI Labs explains various AI topics:

https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw
Yannic Kilcher covers recent advances in AI:

https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew
Machine Learning Street Talk is a good AI podcast talking about the interesting stuff going on in AI:

https://www.youtube.com/channel/UCMLtBahI5DMrt0NPvDSoIRQ
Schmidhuber's website covers a lot of interesting topics in AI research:

http://people.idsia.ch/~juergen/
>Which resources should I use in order to be able to produce robowaifus?
At the minimum you'll need to know 3D modelling, 3D printing, C or C++ programming, electricity, microcontrollers, physics, classical mechanics, servos and power systems. Someone else will have to chime in on this since my specialty is AI.

>>6567
All those courses are overkill for a start. You should focus on:

>Data Preproccessing, Numpy, Pandas, Inferential Stats, Data Visualisation, Linear Regression, Polynomial Regression, Gradient Descent, ~~KNN~~, Model Performance Metrics, Naive Bayes, ~~Logistic Regression, SVM, SVR, Decision Trees, Decision Tree Regression, Random Forest Regression, Kernel SVM, K means Clustering, Hierarchical Clustering, Apriori, Eclat, UCB, Thompson Sampling,~~ Ensembling, Unsupervised Learning, NLP, ~~PCA, LDA, XGBoost~~
The other stuff is good to know but more advanced than you really need to know unless you want to study those areas.
You should soldier through basic mathematics and statistics first, just enough to be familiar with what you have to study deeper to take on an AI project you're interested in. If you don't understand the mathematical notation (particularly around summation, products, matrices and probability) being used in machine learning courses you'll become completely lost on what to do or learn. Once you dive into machine learning you'll see how important mathematics and statistics are and won't be bored studying them when you can see how much you need to know them. It's a good idea not to learn anything unless you understand why you're learning it, otherwise you may spend years learning stuff you'll never use.