3) AIML+Physics Part 3 Designing an Architecture [Physics Informed Machine Learning]10просмотровмесяц назад
2) AIML+Physics Part 2 Curating Training Data [Physics Informed Machine Learning]9просмотровмесяц назад
1) AIML+Physics Part 1 Choosing what to model [Physics Informed Machine Learning]10просмотровмесяц назад
0) Physics Informed Machine Learning High Level Overview of AI and ML in Science and Engineering16просмотровмесяц назад
15) NLP Demystified - Transformers From Scratch + Pre-training and Transfer Learning With BERTGPT9просмотровмесяц назад
14) NLP Demystified - Machine Translation With Sequence-to-Sequence and Attention3просмотрамесяц назад
9) NLP Demystified - Automatically Finding Topics in Documents with Latent Dirichlet Allocation3просмотрамесяц назад
8) NLP Demystified - Text Classification With Naive Bayes (+ precision and recall)2просмотрамесяц назад
7) NLP Demystified - Building Models (ML modelling overview, bias, variance, evaluation)3просмотрамесяц назад
4) NLP Demystified - Advanced Preprocessing (part-of-speech tagging, entity tagging, parsing)7просмотровмесяц назад
3) NLP Demystified - Basic Preprocessing (case-folding, stop words, stemming, lemmatization)3просмотрамесяц назад
10) Constructing Training Target for Flow Models - Principles of Diffusion Models5просмотровмесяц назад
