標題: Titlebook: Data Science for Transport; A Self-Study Guide w Charles Fox Textbook 2018 Springer International Publishing AG 2018 Quantitative Geography [打印本頁] 作者: 粗略 時間: 2025-3-21 17:51
書目名稱Data Science for Transport影響因子(影響力)
書目名稱Data Science for Transport影響因子(影響力)學科排名
書目名稱Data Science for Transport網(wǎng)絡公開度
書目名稱Data Science for Transport網(wǎng)絡公開度學科排名
書目名稱Data Science for Transport被引頻次
書目名稱Data Science for Transport被引頻次學科排名
書目名稱Data Science for Transport年度引用
書目名稱Data Science for Transport年度引用學科排名
書目名稱Data Science for Transport讀者反饋
書目名稱Data Science for Transport讀者反饋學科排名
作者: PAD416 時間: 2025-3-21 23:30 作者: Thyroxine 時間: 2025-3-22 01:27 作者: 共棲 時間: 2025-3-22 04:52
Database Design,During the Python exercise, we used text processing operations to step through a CSV file and process each line at a time. For some applications, this method is scaled up to store and process larger data sets. For example we might have a separate CSV file for each year’s road accidents for many years, and perhaps also for many countries.作者: 規(guī)范要多 時間: 2025-3-22 10:46
Spatial Data,Transport data is generally about motion through time and space. The previous chapter considered the complexities of representing time – here we will think about space.作者: 一美元 時間: 2025-3-22 14:26 作者: 一美元 時間: 2025-3-22 17:03 作者: Cleave 時間: 2025-3-23 00:52 作者: archenemy 時間: 2025-3-23 04:29 作者: 凈禮 時間: 2025-3-23 07:29
Data Visualisation,e for the payoff: visualizing the results in full colour! This chapter will give a short overview of relevant human visual perception, present a “gallery” of classic transport-related data visualizations, then show how to produce some of your own.作者: CODA 時間: 2025-3-23 12:39 作者: Admire 時間: 2025-3-23 15:21
Leonardo Vanneschi,Giuseppe Cuccu. It may be skipped by readers who are interested only in concepts and management rather than the details of programming. If you already know Python and are able to complete the following skills check then you can also skip this chapter. If you are new to Python then try to complete the skills check作者: Pert敏捷 時間: 2025-3-23 20:10 作者: 虛情假意 時間: 2025-3-24 01:48 作者: Biguanides 時間: 2025-3-24 05:33 作者: WITH 時間: 2025-3-24 08:49
https://doi.org/10.1007/978-3-319-48506-5formation about an unobserved point (.,?.) from observations of nearby points, . This is quite often the case in non-spatial tasks too, for example the whole theory of Discriminative Classification is based on the assumption that entities which are close in feature space are “similar” and likely to 作者: 有罪 時間: 2025-3-24 14:09 作者: textile 時間: 2025-3-24 16:40 作者: 親愛 時間: 2025-3-24 21:21
Data Science for Transport978-3-319-72953-4Series ISSN 2510-1307 Series E-ISSN 2510-1315 作者: 有節(jié)制 時間: 2025-3-25 03:12
https://doi.org/10.1007/978-3-319-48506-5y generative or causal models. We are given some known data pairs ., where . are features and . are discrete classes, then are asked to find the class . of single new data point . through some function .. Machine learning consists of finding the parameters ..作者: 施魔法 時間: 2025-3-25 04:04 作者: 憤世嫉俗者 時間: 2025-3-25 09:43
https://doi.org/10.1007/978-3-319-72953-4Quantitative Geography; Transport Studies; Data Science for Geography and Geoscience; Machine Learning 作者: 使成波狀 時間: 2025-3-25 13:41 作者: BIPED 時間: 2025-3-25 19:39 作者: Multiple 時間: 2025-3-25 23:05 作者: Esophagus 時間: 2025-3-26 03:40
Professional Issues,Nigel does not agree with this policy but cannot find work anywhere else in Rummidge (because, he says, immigrants from neighbouring Borsetshire have taken all the jobs) and he needs to stay there to support his family, so he keeps his professional work separate from his beliefs.作者: conformity 時間: 2025-3-26 08:11 作者: Blatant 時間: 2025-3-26 10:09 作者: Outwit 時間: 2025-3-26 13:18 作者: 暖昧關系 時間: 2025-3-26 20:44 作者: slow-wave-sleep 時間: 2025-3-26 21:33 作者: 獸皮 時間: 2025-3-27 02:14
Bayesian Inference,d data. Bayesian inference is computationally hard, so typically works with approximate calculations on large compute systems. Bayesian inference is provably (Bernardo and Smith 2001) the . system able combine beliefs to make decisions consistently and optimally.作者: capsule 時間: 2025-3-27 08:35 作者: 保留 時間: 2025-3-27 10:35 作者: 白楊魚 時間: 2025-3-27 13:43
Python for Data Science Primer,. It may be skipped by readers who are interested only in concepts and management rather than the details of programming. If you already know Python and are able to complete the following skills check then you can also skip this chapter. If you are new to Python then try to complete the skills check作者: 有權 時間: 2025-3-27 18:46 作者: ANTH 時間: 2025-3-27 22:30 作者: 直言不諱 時間: 2025-3-28 03:17
Machine Learning,y generative or causal models. We are given some known data pairs ., where . are features and . are discrete classes, then are asked to find the class . of single new data point . through some function .. Machine learning consists of finding the parameters ..作者: AXIS 時間: 2025-3-28 06:42 作者: GRIEF 時間: 2025-3-28 12:46
Data Visualisation,e for the payoff: visualizing the results in full colour! This chapter will give a short overview of relevant human visual perception, present a “gallery” of classic transport-related data visualizations, then show how to produce some of your own.作者: 長矛 時間: 2025-3-28 15:07
Professional Issues,ad network, and has given the university access to its data. Nigel and Nicola are data scientists who have been given access to different parts of the data at the University. Nigel is an active member of the National Rummidgeshire Party (seeking to ban immigration to Rummidgeshire) and makes weekly 作者: entitle 時間: 2025-3-28 18:45
Textbook 2018 ethical issues..".Transport modeling practice was developed in a data poor world, and many of our current techniques and skills are building on that sparsity. In a new data rich world, the required tools are different and the ethical questions around data and privacy are definitely different. I am 作者: 喚起 時間: 2025-3-29 02:11 作者: 豎琴 時間: 2025-3-29 03:35
Spatial Analysis,and human processes – have some spatial location of their cause, and their effects tend to dissipate over distance. The perfect example is a volcano eruption, which has a well-defined center, and lava piling up and dissipating over hundreds or thousands of meters to create a peak as in Fig.?8.1作者: Debility 時間: 2025-3-29 09:50
2510-1307 y of our current techniques and skills are building on that sparsity. In a new data rich world, the required tools are different and the ethical questions around data and privacy are definitely different. I am 978-3-030-10291-3978-3-319-72953-4Series ISSN 2510-1307 Series E-ISSN 2510-1315 作者: 胰島素 時間: 2025-3-29 12:49 作者: 多產(chǎn)子 時間: 2025-3-29 15:49 作者: HATCH 時間: 2025-3-29 22:39
