| 期刊全称 | Advanced Data Analytics Using Python | | 期刊简称 | With Machine Learnin | | 影响因子2023 | Sayan Mukhopadhyay | | 视频video | | | 发行地址 | Contains practical real-world examples of data analytics.Covers a wide spectrum from basic statistics to ETL, deep learning and IoT.Gives an idea of every technical aspect of an industrial analytics p | | 图书封面 |  | | 影响因子 | Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. .Advanced Data Analytics Using Python. also covers important traditional data analysis techniques such as time series and principal component analysis. .After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects..What You Will Learn.Work with data analysis techniques such as classification, clustering, regression, and forecasting.Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL.Examine the different big data frameworks, including Hadoop and Spark.Discover advanced machine learning concepts such as semi-supervised lear | | Pindex | Book 20181st edition |
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发表于 2025-3-21 16:36:45
