標(biāo)題: Titlebook: Introduction to Data Science; A Python Approach to Laura Igual,Santi Seguí Textbook 2024Latest edition The Editor(s) (if applicable) and Th [打印本頁(yè)] 作者: Body-Mass-Index 時(shí)間: 2025-3-21 18:09
書目名稱Introduction to Data Science影響因子(影響力)
書目名稱Introduction to Data Science影響因子(影響力)學(xué)科排名
書目名稱Introduction to Data Science網(wǎng)絡(luò)公開度
書目名稱Introduction to Data Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Introduction to Data Science被引頻次
書目名稱Introduction to Data Science被引頻次學(xué)科排名
書目名稱Introduction to Data Science年度引用
書目名稱Introduction to Data Science年度引用學(xué)科排名
書目名稱Introduction to Data Science讀者反饋
書目名稱Introduction to Data Science讀者反饋學(xué)科排名
作者: commute 時(shí)間: 2025-3-21 20:16 作者: craven 時(shí)間: 2025-3-22 04:08 作者: 偶然 時(shí)間: 2025-3-22 08:02 作者: 死亡率 時(shí)間: 2025-3-22 09:02
1863-7310 is and machine learning.Includes case studies, and supplies .This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts?from statistics, machine/deep?learning?and responsible dat作者: Creatinine-Test 時(shí)間: 2025-3-22 13:02
,Introduction to?Data Science,, enabling their widespread use and the fast dissemination of results. This book has been designed as a small contribution to this democratization process by showing that anyone interested in this topic can become a junior data scientist in a few weeks.作者: Traumatic-Grief 時(shí)間: 2025-3-22 20:41 作者: 真實(shí)的人 時(shí)間: 2025-3-23 00:18
Recommender Systems,amily to travel to? These are typical questions that companies like Netflix or Amazon include in their products. We also see and discuss how recommender systems should be evaluated. Finally, a practical case with MovieLens dataset is presented.作者: Atheroma 時(shí)間: 2025-3-23 03:18
Supervised Learning,tion will then allow us to develop a strategy for model selection. Finally, two of the best-known techniques in machine learning are introduced: support vector machines and random forests. These are then applied to the proposed problem of predicting those loans that will not be successfully covered once they have been accepted.作者: Capitulate 時(shí)間: 2025-3-23 07:21
Network Analysis,t and answering a set of questions. For instance: Which is the most representative member of the network in terms of the most “connected”, the most “circulated”, the “closest” or the most “accessible” to the rest of the members?作者: 周年紀(jì)念日 時(shí)間: 2025-3-23 10:12
Basics of Natural Language Processing,cture and users may use text abbreviations. We review basic mechanisms required to perform sentiment analysis, including data cleaning, producing a general representation of the text, and performing some statistical inference on the text represented to determine positive and negative sentiments.作者: 無(wú)目標(biāo) 時(shí)間: 2025-3-23 15:02
Responsible Data Science,e to prevent unauthorized access and misuse of personal information. Upholding these principles fosters trust between individuals and the data-driven systems influencing their lives, ultimately guiding data science toward a socially responsible and ethically sound future.作者: fluffy 時(shí)間: 2025-3-23 18:00 作者: Enervate 時(shí)間: 2025-3-24 01:16
Data Science Tools,In this chapter, first we introduce some of the cornerstone tools that data scientists use. The toolbox?of any data scientist, as for any kind of programmer, is an essential ingredient for success and enhanced performance. Choosing the right tools can save a lot of time and thereby allow us to focus on data analysis.作者: Awning 時(shí)間: 2025-3-24 06:24 作者: hankering 時(shí)間: 2025-3-24 07:23
Introduction to Data Science978-3-031-48956-3Series ISSN 1863-7310 Series E-ISSN 2197-1781 作者: 不愛防注射 時(shí)間: 2025-3-24 13:02
Laura Igual,Santi SeguíDescribes tools and techniques that demystify data science.Discusses Python extensions, techniques and modules to perform statistical analysis and machine learning.Includes case studies, and supplies 作者: mediocrity 時(shí)間: 2025-3-24 15:51 作者: Condense 時(shí)間: 2025-3-24 20:21
https://doi.org/10.1007/978-3-031-48956-3Data Science; Parallel Computing; Python Programming; Statistical Inference; Graph Analysis作者: GRIN 時(shí)間: 2025-3-24 23:20 作者: fixed-joint 時(shí)間: 2025-3-25 05:08
Descriptive Statistics, later chapter, in descriptive statistics we do not draw conclusions beyond the data we are analyzing; neither do we reach any conclusions regarding hypotheses we may make. We do not try to infer characteristics of the “population” (see below) of the data, but claim to present quantitative descripti作者: 宴會(huì) 時(shí)間: 2025-3-25 07:57
Statistical Inference, descriptions we have seen are based on graphical representations that are easily interpreted by humans, while others are based on parameters that summarize important properties of the sample distribution. In this chapter we see how to infer predictions about a population. To this end we explore the作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-25 12:56
Supervised Learning,ory and good practices for successful use of classifiers in a real case using Python. The chapter starts by introducing the classic machine learning pipeline, defining features, and evaluating the performance of a classifier. After that, the notion of generalization error is needed, which allows us 作者: landfill 時(shí)間: 2025-3-25 19:19 作者: Cirrhosis 時(shí)間: 2025-3-25 21:58 作者: 內(nèi)閣 時(shí)間: 2025-3-26 02:28 作者: Exaggerate 時(shí)間: 2025-3-26 05:10 作者: 場(chǎng)所 時(shí)間: 2025-3-26 08:30
Basics of Natural Language Processing, sentiment analysis is performed based on the processing of natural language, the analysis of text and computational linguistics. Although data can come from different data sources, in this chapter we analyze sentiment in text data, using two particular text data examples: one from film critics, whe作者: 我沒有強(qiáng)迫 時(shí)間: 2025-3-26 13:10 作者: 一窩小鳥 時(shí)間: 2025-3-26 19:06 作者: 男學(xué)院 時(shí)間: 2025-3-26 22:49 作者: 頭腦冷靜 時(shí)間: 2025-3-27 03:46 作者: 妨礙 時(shí)間: 2025-3-27 05:52 作者: CHURL 時(shí)間: 2025-3-27 11:13 作者: Gorilla 時(shí)間: 2025-3-27 14:37
David Blooressay .(1966), in which the author hypothesized that Sade’s .(1795) ‘completed’ and exposed the ‘truth’ of the .(1788) (1966, p. 765). Lacan’s main concern here was to interconnect Sade’s and Kant’s thinking on the concept of (radical) evil. Arguably, one of the metaphysical propositions the K?igsbe作者: 染色體 時(shí)間: 2025-3-27 18:22 作者: Acclaim 時(shí)間: 2025-3-28 00:18
Systemic Sclerosis, or systems. Fibrosis is the final stage of a pathogenetic process triggered by functional and structural alterations of the microcirculation encompassing platelet activation and dysregulation of the immune response. SSc affects the skin, blood vessels, musculoskeletal system, and internal organs (g作者: shrill 時(shí)間: 2025-3-28 03:10 作者: 不持續(xù)就爆 時(shí)間: 2025-3-28 07:52 作者: Corral 時(shí)間: 2025-3-28 12:52 作者: STALL 時(shí)間: 2025-3-28 15:32 作者: ALLAY 時(shí)間: 2025-3-28 20:05 作者: 虛情假意 時(shí)間: 2025-3-29 00:40 作者: 你敢命令 時(shí)間: 2025-3-29 05:38
https://doi.org/10.1007/978-3-658-09191-0terest. Predominantly the separation technique used has been HPLC (1,2) which is capable of the required sensitivity and high degree of automation necessary to process relative high numbers of sample solutions.作者: conscience 時(shí)間: 2025-3-29 08:22
Fatih Y?lmaz,Murat Ozurk,Resat Selbasion tests and two reading comprehension tests. All four tests were collected at four different times over a 3-year span: beginning (T1) and end (T2) of Year 2 of CSE, end of Year 3 (T3) and end of Year 4 (T4). Results point to the effectiveness of CLIL programmes in the overall development of recept作者: Consequence 時(shí)間: 2025-3-29 13:21 作者: Tractable 時(shí)間: 2025-3-29 17:20 作者: 吊胃口 時(shí)間: 2025-3-29 23:45 作者: 寡頭政治 時(shí)間: 2025-3-30 00:11 作者: 召集 時(shí)間: 2025-3-30 07:41
,Amyloidosis in the Genesis of Alzheimer’s Disease, as the amyloid fibril protein of “senile” plaques and the gene encoding for it resides on chromosome 21. The proximal source of amyloid β-protein is probably an immunoreactive serum protein. Characterization of this serum protein may lead to a specific diagnostic test for Alzheimer’s disease.
