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派博传思国际中心 »期刊书目

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Titlebook: Essentials of Python for Artificial Intelligence and Machine Learning; Pramod Gupta,Anupam Bagchi Book 2024 The Editor(s) (if applicable)

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发表于 2025-3-21 18:30:57 | 显示全部楼层 |阅读模式
书目名称Essentials of Python for Artificial Intelligence and Machine Learning
编辑Pramod Gupta,Anupam Bagchi
视频video
概述Includes several real examples of how to write and deploy code, including on a cloud infrastructure.Provides single-source on Python for machine learning and artificial intelligence, from basics to re
丛书名称Synthesis Lectures on Engineering, Science, and Technology
图书封面Titlebook: Essentials of Python for Artificial Intelligence and Machine Learning; Pramod Gupta,Anupam Bagchi Book 2024 The Editor(s) (if applicable)
描述.This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python’s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios..
出版日期Book 2024
关键词Python libraries; Deep Learning and cloud computing; Python for machine learning; Cloud deployment of m
版次1
doihttps://doi.org/10.1007/978-3-031-43725-0
isbn_softcover978-3-031-43727-4
isbn_ebook978-3-031-43725-0Series ISSN 2690-0300 Series E-ISSN 2690-0327
issn_series 2690-0300
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Statistical Methods and Models,ks to learn the basics of statistical methods and models. The efficacy of analysis improves significantly when the underlying statistical model is better defined. With a good model in place, the algorithms yield more effective decisions or automated actions.
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Pramod Gupta,Anupam BagchiIncludes several real examples of how to write and deploy code, including on a cloud infrastructure.Provides single-source on Python for machine learning and artificial intelligence, from basics to re
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Synthesis Lectures on Engineering, Science, and Technologyhttp://image.papertrans.cn/e/image/315690.jpg
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On Some Cosmological Theories and Constants,n activity be it business, healthcare, or governance. For example, as the market changes in various ways, data science is getting popular with businesses to learn about their customers and their needs. Trained Data science professionals are focusing on collecting data and drawing meaningful insights
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Connectivites: Monumentalizing Borders,, we’ll introduce the basics of the Python programming language basics. We will begin by looking at Python’s simplest built-in data types and the ways in which basic arithmetic is performed, and special string formats specifiers are used. Computers process data values that represent information, and
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Citizenship Bound and Citizenship UnboundWhile it is not necessary to have deep understanding of NumPy for many data analytical applications, becoming proficient in array-oriented programming and thinking is a key step along the way to becoming a scientific Python guru. A fundamental requirement in data science is to manage and process lar
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Cosmopolitan Education and Inclusiontics. It provides numerous functions and methods that expedite the data analysis and preprocessing steps. Python with Pandas is used in a wide range of fields, such as academic research, retail, finance, economics, statistics, analytics, bioinformatics and medical drug discovery research, and many o
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