作者简介
Aileen has worked in corporate law, physics re se arch labs, and, most recently, a variety of NYC tech startups. Her interests range from defensive soft ware engineering to UX designs for reducing cognitive load to the inter play between law and technology. Aileen is currently working at an early-stage NYC startup that has something to do with tim e series data and neural net works. She also serves as chair of the New York City Bar Association’s Science and Law com mi ttee, which focuses on how the latest dev elopments in science and computing should be regulated and how such developments should info rm e x isting legal practices.In the recent past, Aileen worked at mobile health platform One Drop and on Hillary Clinton's presidential campaign. She is a frequent speaker at mac hine learning conferences on both technical and sociological subjects. She holds an A.B. from Princeton University and is A.B.D. in Applied Physics at Columbia University.
内容简介
Solve the most common data engineering and analysis challenges for modern time series data. This book pro vides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quick ly and competently to do time-related analysis in their field of interest.
Author Aileen Nielsen also offers practical guidance and use cases from the real world, ranging from health care and finance to scientific measurements and social science projections. This book offers a more varied and cutting- edge app roach to time series than is available in ex isting books on this topic.
Aileen has worked in corporate law, physics research labs, and, most recently, a variety of NYC tech startups. Her interests range from defensive software engineering to UX designs for reducing cognitive load to the interplay between law and technology. Aileen is currently working at an early-stage NYC startup that has something to do with time series data and neural networks. ...
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