A new theoretical framework separates computational speed from statistical generalization in quantum machine learning, showing that faster quantum algorithms alone do not guarantee better learning ...

A new method can now find previously unknown factors that underlie disease by using statistical machine learning to sort through mountains of complex biological data. This flagship method, called ...

Meta-learning is marketed as a "learning method that can learn from little data," but in reality, meta-learning itself ...

One of the most stubborn problems in modern population genetics is not finding evidence of adaptation in the genome, but ...

The deep learning revolution has ushered in a new generation of machine learning tools capable of identifying the patterns in massive noisy datasets with accuracy that often exceeds that of human ...

Introduction About six months ago, I hit a wall while reviewing the results of an internal A/B test. When I presented the ...

Python and statistics still sit at the center of data science, but the work surrounding them has expanded. Professionals now move from cleaning data and testing hypotheses into predictive modeling, ...