Python data mining and machine learning in action

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

The strongest Avenger teams up with two up-and-coming heroes on an internet-breaking adventure Can they pull the plug on evil? First, Captain Marvel joins Gwen Stacy, aka Ghost-Spider, on a web-based adventure Things get APP-rehenzive when a new craze--ClikClok--sweeps the city, and the Mad Thinker and the Awesome Android plan to use it for their own nefarious scheme Then, just as Carol is recovering from one mission, she starts another--without even knowing it When technical difficulties bring her face to face with her digital doppelg nger, she'll need some help from the Unbeatable Squirrel Girl to save the day Collects Marvel Action: Captain Marvel Vol. Two, issues #1-5, from writer Sam Maggs (The Unstoppable Wasp, My Little Pony/Transformers) and artists Sweeney Boo (Eat, and Love Yourself) and new talent Isabel Escalante