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標題: Titlebook: Data Science Concepts and Techniques with Applications; Usman Qamar,Muhammad Summair Raza Textbook 2023Latest edition The Editor(s) (if ap [打印本頁]

作者: 惡化    時間: 2025-3-21 16:11
書目名稱Data Science Concepts and Techniques with Applications影響因子(影響力)




書目名稱Data Science Concepts and Techniques with Applications影響因子(影響力)學科排名




書目名稱Data Science Concepts and Techniques with Applications網(wǎng)絡(luò)公開度




書目名稱Data Science Concepts and Techniques with Applications網(wǎng)絡(luò)公開度學科排名




書目名稱Data Science Concepts and Techniques with Applications被引頻次




書目名稱Data Science Concepts and Techniques with Applications被引頻次學科排名




書目名稱Data Science Concepts and Techniques with Applications年度引用




書目名稱Data Science Concepts and Techniques with Applications年度引用學科排名




書目名稱Data Science Concepts and Techniques with Applications讀者反饋




書目名稱Data Science Concepts and Techniques with Applications讀者反饋學科排名





作者: ALE    時間: 2025-3-21 22:40

作者: interpose    時間: 2025-3-22 02:56

作者: Synapse    時間: 2025-3-22 05:10
Clustering, already labeled classes in data, clustering involves unsupervised learning, i.e., we do not have any prior classes. We just collect similar objects in similar groups. For example, all the fruits with yellow color and having some length may be placed in one group, perhaps the group of banana fruit..
作者: 帶子    時間: 2025-3-22 11:57

作者: Aura231    時間: 2025-3-22 15:46

作者: Aura231    時間: 2025-3-22 21:04
Regression Analysis,ession with applications. The chapter will cover different methods and techniques of regression like simple (single-variant), multiple (multivariate), polynomial, and logistic regressions as well as some advanced methods of regression. The chapter will initially start with simple regression algorith
作者: 仇恨    時間: 2025-3-22 21:16
Data Science Programming Language,n behind this is that a large community is using these languages and there are a lot of libraries available online for these. First Python will be discussed and in the later part, we will discuss the R programming language.
作者: MORT    時間: 2025-3-23 03:35

作者: 盤旋    時間: 2025-3-23 05:50

作者: 無聊點好    時間: 2025-3-23 10:36
Maintenance of Repairable Systemsre selection is an important task used for data preprocessing. It helps reduce the noise and redundant and misleading features. Based on its importance, in this chapter, we will focus on feature selection and the different concepts associated with it.
作者: 有惡臭    時間: 2025-3-23 16:28

作者: Processes    時間: 2025-3-23 18:39
Replacement of Capital Equipmentn similar groups. For example, all the fruits with yellow color and having some length may be placed in one group, perhaps the group of banana fruit..In this chapter, we will discuss the concept of the cluster, cluster analysis, and the different algorithms used for clustering.
作者: OVERT    時間: 2025-3-23 22:13
Towards Automatic Systems Architecting polynomial, and logistic regressions as well as some advanced methods of regression. The chapter will initially start with simple regression algorithms and progress to more complex algorithms and will finally conclude with real-world applications for regression models.
作者: 摘要記錄    時間: 2025-3-24 03:08

作者: 油膏    時間: 2025-3-24 09:28
Text Mining,n the form of textual data. It has been found that a few most popular search engines have indexed almost 3 billion documents in textual format. So, it is found essential to have methods for the discovery of information from the text. This led to a new domain called text mining.
作者: 壓艙物    時間: 2025-3-24 12:40
Data Preprocessing,re selection is an important task used for data preprocessing. It helps reduce the noise and redundant and misleading features. Based on its importance, in this chapter, we will focus on feature selection and the different concepts associated with it.
作者: 參考書目    時間: 2025-3-24 17:02

作者: 阻撓    時間: 2025-3-24 22:18

作者: Ige326    時間: 2025-3-25 03:07
Regression Analysis, polynomial, and logistic regressions as well as some advanced methods of regression. The chapter will initially start with simple regression algorithms and progress to more complex algorithms and will finally conclude with real-world applications for regression models.
作者: abstemious    時間: 2025-3-25 05:03
Anil Kumar Chorppath,Tansu Alpcann the form of textual data. It has been found that a few most popular search engines have indexed almost 3 billion documents in textual format. So, it is found essential to have methods for the discovery of information from the text. This led to a new domain called text mining.
作者: chronology    時間: 2025-3-25 10:30

作者: 易改變    時間: 2025-3-25 14:13
Data Science Concepts and Techniques with Applications978-3-031-17442-1
作者: grenade    時間: 2025-3-25 18:10
Practical Data Science with WEKA, e.g., the datasets, algorithms, visualization methods, etc..WEKA’s third interface, the Experimenter, as the name implies, helps you perform different experiments, e.g., which classification algorithm is best for which dataset and which parameters help increase the accuracy. There are two other int
作者: 逃避責任    時間: 2025-3-25 22:23
Towards Automatic Systems Architecting e.g., the datasets, algorithms, visualization methods, etc..WEKA’s third interface, the Experimenter, as the name implies, helps you perform different experiments, e.g., which classification algorithm is best for which dataset and which parameters help increase the accuracy. There are two other int
作者: glowing    時間: 2025-3-26 02:35

作者: Osteons    時間: 2025-3-26 04:30

作者: Accede    時間: 2025-3-26 11:45
Introduction,mportance, and issues that are normally faced in data analytics. Efforts have been made to present the concepts in the most simple possible way, as conceptual clarity before studying the advance concepts of data science and related techniques is very much necessary.
作者: Apoptosis    時間: 2025-3-26 15:20
Frequent Pattern Mining,le otherwise. Identification of these patterns can help organizations to improve their decision-making and policy-related matters. In this chapter, we will discuss details of frequent pattern mining and the related concepts.
作者: Instrumental    時間: 2025-3-26 18:48
Data Science Programming Language,n behind this is that a large community is using these languages and there are a lot of libraries available online for these. First Python will be discussed and in the later part, we will discuss the R programming language.
作者: Rustproof    時間: 2025-3-26 22:49

作者: evaculate    時間: 2025-3-27 03:24

作者: Ingredient    時間: 2025-3-27 07:35

作者: 改進    時間: 2025-3-27 11:39
Context in Complex Systems Governancemportance, and issues that are normally faced in data analytics. Efforts have been made to present the concepts in the most simple possible way, as conceptual clarity before studying the advance concepts of data science and related techniques is very much necessary.
作者: 入伍儀式    時間: 2025-3-27 15:44
Maintenance of Repairable Systemsse, missing values, redundant attributes, etc. so data preprocessing is one of the most important steps to make data ready for final processing. Feature selection is an important task used for data preprocessing. It helps reduce the noise and redundant and misleading features. Based on its importanc
作者: 極深    時間: 2025-3-27 18:07
Replacement of Capital Equipment analytics and machine learning activities. In this chapter, we will discuss the concepts of the classification process. We will provide a comprehensive overview of classification techniques including decision tree, Na?ve Bayes, K nearest neighbor, support vector machines, and artificial neural netw
作者: acrobat    時間: 2025-3-27 23:57
Replacement of Capital Equipment already labeled classes in data, clustering involves unsupervised learning, i.e., we do not have any prior classes. We just collect similar objects in similar groups. For example, all the fruits with yellow color and having some length may be placed in one group, perhaps the group of banana fruit..
作者: 去掉    時間: 2025-3-28 03:45

作者: DRILL    時間: 2025-3-28 09:42

作者: flutter    時間: 2025-3-28 13:24

作者: 譏笑    時間: 2025-3-28 17:25
Complex Systems Concurrent Engineeringn behind this is that a large community is using these languages and there are a lot of libraries available online for these. First Python will be discussed and in the later part, we will discuss the R programming language.
作者: 袖章    時間: 2025-3-28 22:42

作者: DEBT    時間: 2025-3-28 23:09
Robin P. Nicolai,Rommert DekkerData science has a wide range of applications. Today, where we already have entered an era of information, all walks of life right from small businesses to mega industries are using data science applications for their business needs. In this chapter, we will discuss different applications of data science and their corresponding benefits.
作者: Neutral-Spine    時間: 2025-3-29 06:08

作者: 白楊    時間: 2025-3-29 10:40

作者: engrossed    時間: 2025-3-29 11:36

作者: 小淡水魚    時間: 2025-3-29 16:59
Usman Qamar,Muhammad Summair RazaComprehensively covers both fundamental and advanced topics related to data science.Presents data pre-processing, classification, clustering, text and pattern mining, deep learning, regression analysi




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