- Language models and text generation using LSTMs
- L1, L2 norms and regularized linear models
- Feature selection using recursive feature elimination in Python
- Visualizing the gradient descent in R
- Streamlining machine learning projects with caret
- Precision, recall, and decision functions in classifier models
- Random Forests in R: bootstrapping and aggregating
- Natural Language Processing with Tensorflow, Keras
- Building a neural network with TensorFlow and Keras