No, they are not. But they have a number of similarities that might be unexpected when you first learn a certain algorithm, such as Word2Vec or GloVe. This post is a summary of a series of papers that I found in the latest years, which show aspects common to word embedding methods that have been … Continue reading Are All Word Embeddings the Same?
Explainable Machine Learning with Lasso Logistic Regression
Explainable Artificial Intelligence (now fancily abbreviated as XAI) is a growing trend in the latest years. It is a logical consequence of the development of predictive algorithms of evergrowing complexity, namely deep learning systems such as CNNs. Such systems are undoubtedly qualified as black-boxes, because they don't provide a straightforward interpretation of their decisions. You … Continue reading Explainable Machine Learning with Lasso Logistic Regression
Book advice: The Book of Why
"If causation is not correlation, what is it?" How many times have you repeated the mantra "correlation does not mean causation"? I did, plenty of times, and for good reason. Any attempt to interpret or explain a machine learning model should keep in mind that two variables happening together does not mean that one causes … Continue reading Book advice: The Book of Why
