兽群
发表于 2025-3-23 11:42:33
for data science.Teaches principles of machine learning thaAspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a
荒唐
发表于 2025-3-23 14:24:25
David Papery involve a low risk factor and facilitate technological advancements, making their use feasible in real world scenarios. UAVs are generally classified by their flight altitude, launch and recovery methods as detailed [.].
antecedence
发表于 2025-3-23 18:28:16
David Paperconcise way. It paves the way for what is included in subsequent Chapters and how the material, even though it is divided in parts, ties together in a rather unified and smooth way. The goal is to help the potential reader be-come familiar with the contents of the book and with what to expect reading each Chapter.
CUMB
发表于 2025-3-23 22:41:51
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专横
发表于 2025-3-24 04:49:19
David Paperchanics, rock mechanics, and geosynthetics reinforced soils from the 6th GeoChina International Conference held in NanChang, China, July 19-21, 2021.978-3-030-80151-9978-3-030-80152-6Series ISSN 2366-3405 Series E-ISSN 2366-3413
Self-Help-Group
发表于 2025-3-24 10:01:54
not a trivial task; in most cases this requires excessive computational time; in some cases even computation of just one feasible path is a rather involved task. Therefore, the search focuses mostly on suboptimal or just feasible solutions.
Jargon
发表于 2025-3-24 12:24:35
David Paperifications in the context of a developing economy where the duality creates a different facet of gentrification not explored much in literature. The chapter presents the case of Bengaluru as a knowledge city and investigates the gentrification process. It will help to understand the relationship between spatial development and economic growth.
periodontitis
发表于 2025-3-24 18:11:05
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遍及
发表于 2025-3-24 20:43:21
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搬运工
发表于 2025-3-25 02:38:34
Book 2020es the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and exp