A critique and complement to “What gender gap in chess?”

The gap between women and men in chess has been a long-standing debate subject. There have been many studies attempting to explain the seemingly large gap between men and women, both in their participation and strength at the top level…


This year I’m teaching a module on Applied Machine Learning with over a hundred students. The students come from very different backgrounds and may not be well prepared in advance to successfully complete this module. To get all students up to speed and level the field, I have compiled a…


Written by Jose Camacho Collados and Taher Pilehvar

Word embeddings are representations of words as low-dimensional vectors, learned by exploiting vast amounts of text corpora. As explained in a previous post, word embeddings (e.g. Word2Vec [1], GloVe [2] or FastText [3]) have proved to be powerful keepers of prior knowledge…


Neural networks have contributed to outstanding advancements in fields such as computer vision [1,2] and speech recognition [3]. Lately, they have also started to be integrated in other challenging domains like Natural Language Processing (NLP). But how do neural networks contribute to the advance of text-based applications? …


As you may probably know, DeepMind has recently published a paper on AlphaZero [1], a system that learns by itself and is able to master games like chess or Shogi.

Before getting into details, let me introduce myself. I am a researcher in the broad field of Artificial Intelligence (AI)…

Jose Camacho Collados

Mathematician, AI/NLP researcher and chess International Master. http://www.josecamachocollados.com

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