Practical Time Series Analysis 在線電子書 圖書標籤: 機器學習 金融 算法 計算機 數據科學 數學和計算機
發表於2024-08-20
Practical Time Series Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024
突齣瞭時間序列預測的機器學習方法。工具上混用瞭R和python,其中用到的R工具太老瞭
評分突齣瞭時間序列預測的機器學習方法。工具上混用瞭R和python,其中用到的R工具太老瞭
評分作為介紹不錯,但看完瞭還是"不會"使用時間序列; 感覺缺乏一些足夠深入的例子
評分突齣瞭時間序列預測的機器學習方法。工具上混用瞭R和python,其中用到的R工具太老瞭
評分作為介紹不錯,但看完瞭還是"不會"使用時間序列; 感覺缺乏一些足夠深入的例子
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.
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.
代码: [https://github.com/PracticalTimeSeriesAnalysis/BookRepo] 主要内容可见作者的SciPy 2019的讲座,看视频比较省事 [https://www.youtube.com/watch?v=v5ijNXvlC5A] (含slides与代码) 主要介绍了time series处理的各类方法 - 传统统计方法: ARIMA - State Model: HMM ...
評分代码: [https://github.com/PracticalTimeSeriesAnalysis/BookRepo] 主要内容可见作者的SciPy 2019的讲座,看视频比较省事 [https://www.youtube.com/watch?v=v5ijNXvlC5A] (含slides与代码) 主要介绍了time series处理的各类方法 - 传统统计方法: ARIMA - State Model: HMM ...
評分代码: [https://github.com/PracticalTimeSeriesAnalysis/BookRepo] 主要内容可见作者的SciPy 2019的讲座,看视频比较省事 [https://www.youtube.com/watch?v=v5ijNXvlC5A] (含slides与代码) 主要介绍了time series处理的各类方法 - 传统统计方法: ARIMA - State Model: HMM ...
評分代码: [https://github.com/PracticalTimeSeriesAnalysis/BookRepo] 主要内容可见作者的SciPy 2019的讲座,看视频比较省事 [https://www.youtube.com/watch?v=v5ijNXvlC5A] (含slides与代码) 主要介绍了time series处理的各类方法 - 传统统计方法: ARIMA - State Model: HMM ...
評分代码: [https://github.com/PracticalTimeSeriesAnalysis/BookRepo] 主要内容可见作者的SciPy 2019的讲座,看视频比较省事 [https://www.youtube.com/watch?v=v5ijNXvlC5A] (含slides与代码) 主要介绍了time series处理的各类方法 - 传统统计方法: ARIMA - State Model: HMM ...
Practical Time Series Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024