🤖
Machine Learning & Deep Learning
Core ML/DL concepts: supervised and unsupervised learning, neural networks (CNN, RNN/LSTM, GAN, Transformers), training techniques, model optimization, and real-world applications in software engineering and NLP.
Data Preparation & Feature Engineering
Data cleaning, normalization vs standardization, feature selection, dimensionality reduction, handling missing values and imbalanced datasets.
📭
Nu s-au găsit articole
Acest domeniu nu are încă articole.