T O P

"And this is the data" -- Alan Guth (inventor of the Inflationary Model of the Big Bang) is overcome by the gorgeous fit of the Kobe satellite data (1990) to the predicted black-body radiation curve for the cosmic microwave background. (Make sure your sound is on!)

What am I missing? It doesn't seem possible to apply Shapley values (aka shap) to unsupervised clustering models -- like LDA topic modeling. I thought shap could "explain" any model as a "black box" -- why can't shap explain which words led LDA to place a document into a particular cluster?

ML Science Fair Ideas

There aren't that many times when you can *SEE* audio

In other words, "Never get involved in a land war in Asia"

Why is Q-learning always presented in such a math-heavy fashion? I just spent an hour dissecting this formula with a student -- only to strongly suspect there is a typo. Are there any good Q-Learning tutorials out there that *explain* the math instead of dropping it from the sky?

How to move from Math and DataAnalytics to Data Scientist / ML Engineer

Love this very clear derivation of the gradient of a convolutional layer!

"Post" test with image #2

"Post" with image test

"link" test

test post

[P] Semdle is a novel semantic word game developed using GPT-3 from OpenAI (NLP)

outdated pickle model

[N] OpenAI's Whisper released

[D] Viterbi or beam search should NOT be used for many/most CTC inference problems

[D] Presenting a project at a job interview while working at another company

Analyzing text data

how do I create machine learning models that look for similarities in two df? In order to forecast some thing?

[D] We all know that getting your paper accepted is a toss, but why do industry/academia insist on using it as a metric?

How do I visualise how my neural network is predicting the output?

[D] I feel that using a full loop on the dataset (epoch) to handle training is not the best solution.

Is it necessary to be good at Data Structure and Algorithm for an ML engineer/ Data Scientist?

[D] How could we learn to read embeddings of neural networks and what could we gain with it?

What is a good “real-world ML” course that teaches modern practices and tools used in companies?

Hi Its Me!

R

jcano

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