Oh I like algorithms and data structures too. But more on the theory side, proving they do X in O(y) time or whatever. I feel like the leetcode type problem never actually comes up in day to day software engineering which is why it’s so annoying to me

Yup! Im trying to work at one for like a year or two and then dip and hopefully work for a much more chill company

Trying out various ML models for biology image segmentation, this PhD stuff is moving mad fast lol. Got a algos course where we cover Fourier transform then next lecture cryptography then next graph theory s***s hectic

nextbigsound.com/charts/predictions a cool website based on data and related to music, i think yall would find this interesting

Any advice for a beginner without prior programming experience?

I know this is the machine learning thread and they font do much ML in Java, I’d recommend starting programming in Java to learn types before jumping to Python. Will help you understand programming in general better imo

What’s a good avenue/strategy to find programmers and engineers locally who can help bring an entrepreneurial idea to fruition? I live in Atlanta.

Damn I should have just made this a computer science thread, didn’t realize people were actually going to reply. Imagine if KTT had its own GitHub.

data engineer boys where u at

Let's make it happen

Machine Learning is interesting; I’m in a Big Data class now.

I don’t think it’ll be something I delve into immediately though; maybe later on once I get some IT work under my belt.

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Anyone have experience with RNNs specifically with long short term memory architecture for sequence classification?

I only have experience with autoregressive flows, which is probably another way to tackle sequence classification. For example learning a time-dependent series and using a 1-D convolutional neural net to predict the next element in the series.

just finishing my bachelors in math and think i wanna look into data mining or deep learning

hey not sure if this makes sense but when using a neural net for classification because the function that maps the inputs to the outputs is non linear and if everything is normalized between 0 and 1 is this the same as getting a probability distribution? anyway to see the probability associated with the classification in the output?

pandas gang

Exactly what I did. There’s lots of opportunities at government/ military research labs.

Exactly. In the case of classification they are modeling the probability distribution of for example the vector x, which can represent an image, being a certain label, y. Or more specifically the posterior p(y|x), the probability of a label y given x.

Realllyyy enjoyed this video on how the balance between the progress of computation and innovation play a role in the future of artificial intelligence

SVM gang baby

Better alternative to Zoom?

theonline.town/overview

direct link to help NASA classify terrain for Mars rovers

zooniverse.org/projects/hiro-ono/ai4mars/classify

What are some great books (or other resources) to get into machine learning?

andrew ng lectures