標題: Titlebook: Data Analytics and Machine Learning; Navigating the Big D Pushpa Singh,Asha Rani Mishra,Payal Garg Book 2024 The Editor(s) (if applicable) [打印本頁] 作者: Malicious 時間: 2025-3-21 17:53
書目名稱Data Analytics and Machine Learning影響因子(影響力)
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書目名稱Data Analytics and Machine Learning網(wǎng)絡公開度學科排名
書目名稱Data Analytics and Machine Learning被引頻次
書目名稱Data Analytics and Machine Learning被引頻次學科排名
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書目名稱Data Analytics and Machine Learning年度引用學科排名
書目名稱Data Analytics and Machine Learning讀者反饋
書目名稱Data Analytics and Machine Learning讀者反饋學科排名
作者: LEER 時間: 2025-3-21 23:53
978-981-97-0450-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: gentle 時間: 2025-3-22 03:27
Data Analytics and Machine Learning978-981-97-0448-4Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: 責難 時間: 2025-3-22 08:12
Pushpa Singh,Asha Rani Mishra,Payal GargHighlights the current state of data analytics, big data, and machine learning techniques to treat data in real time.Addresses the ethical and privacy concerns associated with data analytics, big data作者: metropolitan 時間: 2025-3-22 09:39 作者: 無效 時間: 2025-3-22 15:17 作者: 無效 時間: 2025-3-22 21:00
Civil Society and Public Policy in Turkeyytics systems is ranged over in this chapter. The chapter also delves into detailing open-source tools such as Power BI and Tableau used in developing data analytics systems. Traditional analysis is different from big data analysis in terms of volume and data processed varieties. To meet the require作者: 后天習得 時間: 2025-3-22 22:25
Citizens and Democracy in Europedata into actionable insights. Key themes include the selection of an appropriate machine learning model tailored to specific problems, mastering the art of feature engineering to refine raw data into informative features aligned with chosen algorithms, and the iterative process of model training an作者: 憲法沒有 時間: 2025-3-23 01:35 作者: 織布機 時間: 2025-3-23 09:31
Contextual Theories of Political Supportusly generated at a bang-up velocity. Because of integral dynamical features of big data, it is hard to apply existing working models directly on big data streams. The solution of this limitation is data streaming. A modern-day data streaming architecture allows taking up, operating and analyzing hi作者: 貪婪的人 時間: 2025-3-23 12:50 作者: acolyte 時間: 2025-3-23 17:38 作者: 哥哥噴涌而出 時間: 2025-3-23 20:46
Eva Anduiza,Marc Guinjoan,Guillem Ricos customers to optimize their sales strategies which mainly includes focusing more on valuable customers which is based on the amount of purchase made by customer rather than the traditional way of recommending a product. In the modern recommendation systems different parameters are synthesized for 作者: 等級的上升 時間: 2025-3-24 00:22 作者: affluent 時間: 2025-3-24 04:19 作者: 詳細目錄 時間: 2025-3-24 10:27
News, Symbols, and European Identitynction and make choices. Business and marketing, healthcare, finance, manufacturing and supply chains, transportation and logistics, energy utilisation, are only a few of the disciplines where their practical applications are summarised in this chapter. Precision medicine has evolved greatly via gen作者: adumbrate 時間: 2025-3-24 13:59 作者: 小口啜飲 時間: 2025-3-24 17:05
Toshifumi Hirata,Minoru Morishitaining on internet data for information, engagement, task assistance, and creative insights.AI Tool’s core is a transformer neural network, renowned for capturing text’s long-range dependencies. With 175 billion parameters, it’s among the most extensive LLMs to date. This research endeavors to presen作者: 報復 時間: 2025-3-24 19:52
Yuki Nakata,Andi Suwirta,Mina Hattorih, surgical planning, and diagnostic decision support. All are complex issues with important applications. Machines and humans struggle to split non solitary nodules with uncertain boundaries. Since segmentation has distinct limits, single nodules are easier to divide. Several researchers have propo作者: 植物群 時間: 2025-3-25 00:34
Masahiro Teshima,Ramayah KumaraguruThis chapter offers a brief overview of their practical uses, illuminating how these technologies are reshaping markets and driving creativity. The cornerstone, data analytics, is studied first, emphasizing its capacity to extract useful insights from a variety of sources. To demonstrate how Data An作者: MEN 時間: 2025-3-25 04:11
Performing Citizenship: Acts of Writingtoday, and they have garnered a lot of attention for their ability to influence organizational decision-making. With the use of these technologies, firms are able to provide valuable data and obtain answers that will improve their performance and provide them with a competitive advantage. A customer作者: Airtight 時間: 2025-3-25 09:56 作者: Canvas 時間: 2025-3-25 12:09 作者: Gene408 時間: 2025-3-25 15:57
Building Predictive Models with Machine Learning,data into actionable insights. Key themes include the selection of an appropriate machine learning model tailored to specific problems, mastering the art of feature engineering to refine raw data into informative features aligned with chosen algorithms, and the iterative process of model training an作者: 膽小懦夫 時間: 2025-3-25 20:36 作者: optic-nerve 時間: 2025-3-26 01:32
Stream Data Model and Architecture,usly generated at a bang-up velocity. Because of integral dynamical features of big data, it is hard to apply existing working models directly on big data streams. The solution of this limitation is data streaming. A modern-day data streaming architecture allows taking up, operating and analyzing hi作者: 使高興 時間: 2025-3-26 08:06 作者: accessory 時間: 2025-3-26 10:49
Applying Data Analytics and Time Series Forecasting for Thorough Ethereum Price Prediction,hich works on the Blockchain technology. This has proved to be a new topic of research for computer science. However, these currencies are volatile in nature and their forecasting can be really challenging as there are dozens of cryptocurrencies in use all around the world. This chapter uses the tim作者: 凌辱 時間: 2025-3-26 13:53
Practical Implementation of Machine Learning Techniques and Data Analytics Using R,s customers to optimize their sales strategies which mainly includes focusing more on valuable customers which is based on the amount of purchase made by customer rather than the traditional way of recommending a product. In the modern recommendation systems different parameters are synthesized for 作者: 上坡 時間: 2025-3-26 18:38 作者: Cholecystokinin 時間: 2025-3-26 22:06 作者: 紀念 時間: 2025-3-27 03:49 作者: Distribution 時間: 2025-3-27 05:29
Real-World Applications of Data Analytics, Big Data, and Machine Learning,a, e-commerce, healthcare records, and more, collectively known as Big Data, has inundated our world. Concerning the intelligent analysis of extensive datasets and the development of advanced applications for diverse domains, the crucial foundation lies in artificial intelligence (AI), placing speci作者: 雜色 時間: 2025-3-27 10:38 作者: 感情 時間: 2025-3-27 17:00
Lung Nodule Segmentation Using Machine Learning and Deep Learning Techniques,h, surgical planning, and diagnostic decision support. All are complex issues with important applications. Machines and humans struggle to split non solitary nodules with uncertain boundaries. Since segmentation has distinct limits, single nodules are easier to divide. Several researchers have propo作者: bromide 時間: 2025-3-27 20:34
Convergence of Data Analytics, Big Data, and Machine Learning: Applications, Challenges, and FutureThis chapter offers a brief overview of their practical uses, illuminating how these technologies are reshaping markets and driving creativity. The cornerstone, data analytics, is studied first, emphasizing its capacity to extract useful insights from a variety of sources. To demonstrate how Data An作者: discord 時間: 2025-3-27 23:08
Business Transformation Using Big Data Analytics and Machine Learning,today, and they have garnered a lot of attention for their ability to influence organizational decision-making. With the use of these technologies, firms are able to provide valuable data and obtain answers that will improve their performance and provide them with a competitive advantage. A customer作者: 疾馳 時間: 2025-3-28 04:05 作者: 參考書目 時間: 2025-3-28 06:38 作者: defile 時間: 2025-3-28 10:40
Predictive Algorithms for Smart Agriculture,es for the precision yield, and irrigation needs by looking at different parameters like climatic conditions, soil type, and previous crops grown in the field. The accuracy of algorithms comes out to be more than 90% depending on some uncertainties in the collection of data from different sensors. T作者: 我悲傷 時間: 2025-3-28 15:18 作者: MINT 時間: 2025-3-28 20:17 作者: Chipmunk 時間: 2025-3-29 00:10
Applying Data Analytics and Time Series Forecasting for Thorough Ethereum Price Prediction,ompared to other models. This chapter aims at drawing a better statistical model with Exploratory Data Analysis (EDA) on the basis of several trends from year 2016 to 2020. Analysis carried out in the chapter can help in understanding various trends related to Ethereum price prediction.作者: 暗語 時間: 2025-3-29 05:29 作者: Largess 時間: 2025-3-29 08:59
Deep Learning Techniques in Big Data Analytics,, the chapter describes emerging trends in deep learning and big data analysis, providing a glimpse into the future of this dynamic field. It draws attention to the pivotal role that deep learning techniques have played in transforming the big data analytics environment and emphasizes the ongoing si作者: Critical 時間: 2025-3-29 14:18 作者: 泛濫 時間: 2025-3-29 18:58 作者: 展覽 時間: 2025-3-29 20:00 作者: Armada 時間: 2025-3-30 01:32 作者: DEI 時間: 2025-3-30 04:44 作者: 鐵砧 時間: 2025-3-30 09:21
Convergence of Data Analytics, Big Data, and Machine Learning: Applications, Challenges, and Futureking through data-driven insights. The third element of the equation, machine learning, emerges as a crucial enabler of automation and intelligence. We highlight its use in customization, fraud detection, and healthcare diagnostics through fascinating real-world examples, highlighting its disruptive作者: SCORE 時間: 2025-3-30 14:22
Business Transformation Using Big Data Analytics and Machine Learning,tion with big data analytics (BDA) to pursuit digital platforms for business model innovation and dynamics. Additionally, a thorough assessment of the literature has been provided with an emphasis on the necessity of business transformation, the function of BDA, and the role of AI. One particular ca作者: glucagon 時間: 2025-3-30 17:49 作者: dominant 時間: 2025-3-30 21:56 作者: exacerbate 時間: 2025-3-31 01:35
Citizens and Democracy in Europees for the precision yield, and irrigation needs by looking at different parameters like climatic conditions, soil type, and previous crops grown in the field. The accuracy of algorithms comes out to be more than 90% depending on some uncertainties in the collection of data from different sensors. T作者: 結合 時間: 2025-3-31 06:29 作者: ascend 時間: 2025-3-31 09:20
https://doi.org/10.1007/978-3-319-68960-9. The focal point of this chapter revolves around deep learning-based methods for image SR. Convolutional Neural Networks (CNNs) have revolutionized the field, presenting unprecedented capabilities in producing high-quality super-resolved images. The chapter elaborates on popular CNN architectures f作者: 輕率看法 時間: 2025-3-31 17:17
