Machine Learning For The Physical Sciences Av Carlo Requiao Da Cunha

Several significant additions have been made to the second edition, including the operator method of calculating the bremsstrahlung cross-section, the calcualtion of the probabilities of photon-induced pair production and photon decay in a magnetic field,...

<P>From the Foreword:</P><br/><br/><P>"While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages....

Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores connections with data science and more traditional approaches. This is an invaluable resource for researchers...

Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. This Element provides theoretical and practical introductions to machine learning for social scientists...