Practical Time Series Analysis 2024 pdf epub mobi 電子書下載

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Practical Time Series Analysis pdf epub mobi 著者簡介

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. She also serves as chair of the New York City Bar Association’s Science and Law committee, which focuses on how the latest developments in science and computing should be regulated and how such developments should inform existing 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 machine 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.

Practical Time Series Analysis pdf epub mobi 圖書描述

Solve the most common data engineering and analysis challenges for modern time series data. This book provides 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 quickly 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 healthcare and finance to scientific measurements and social science projections. This book offers a more varied and cutting-edge approach to time series than is available in existing books on this topic.

Practical Time Series Analysis 2024 pdf epub mobi 電子書下載

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發表於2024-11-23

Practical Time Series Analysis 2024 pdf epub mobi 電子書下載

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代碼: [https://github.com/PracticalTimeSeriesAnalysis/BookRepo] 主要內容可見作者的SciPy 2019的講座，看視頻比較省事 [https://www.youtube.com/watch?v=v5ijNXvlC5A] （含slides與代碼）主要介紹瞭time series處理的各類方法 - 傳統統計方法: ARIMA - State Model: HMM ...

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