{"product_id":"advanced-data-analytics-using-python-with-architectural-patterns-text-and-image-classification-and-optimization-techniques-paperback-1","title":"Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSayan Mukhopadhyay\u003c\/b\u003e (Author), \u003cb\u003ePratip Samanta\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eUnderstand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment.\u003cbr\u003eGeneric design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvanced Analytics with Python, 2nd edition \u003c\/i\u003efeatures a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. \u003c\/p\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eBuild intelligent systems for enterprise\u003c\/li\u003e\n\u003cli\u003eReview time series analysis, classifications, regression, and clustering\u003c\/li\u003e\n\u003cli\u003eExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning \u003c\/li\u003e\n\u003cli\u003eUse cloud platforms like GCP and AWS in data analytics\u003c\/li\u003e\n\u003cli\u003eUnderstand Covers design patterns in Python \u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eData scientists and software developers interested in the field of data analytics.\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eUnderstand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment.\u003cbr\u003eGeneric design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvanced Analytics with Python, 2nd edition \u003c\/i\u003efeatures a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. \u003c\/p\u003eYou will: \u003cbr\u003e\u003cul\u003e\n\u003cli\u003eBuild intelligent systems for enterprise\u003c\/li\u003e\n\u003cli\u003eReview time series analysis, classifications, regression, and clustering\u003c\/li\u003e\n\u003cli\u003eExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning \u003c\/li\u003e\n\u003cli\u003eUse cloud platforms like GCP and AWS in data analytics\u003c\/li\u003e\n\u003cli\u003eUnderstand Covers design patterns in Python \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eSayan Mukhopadhyay\u003c\/b\u003e is a data scientist with more than 13 years of experience. He has been associated with companies such as Credit-Suisse, PayPal, CA Technology, CSC, and Mphasis. He has a deep understanding of data analysis applications in domains such as investment banking, online payments, online advertising, IT infrastructure, and retail. His area of expertise is applied high-performance computing in distributed and data-driven environments such as real-time analysis and high-frequency trading.\u003cbr\u003e\u003cb\u003ePratip Samanta\u003c\/b\u003e is a Principal AI engineer\/researcher having more than 11 years of experience. He worked in different software companies and research institutions. He has published conference papers and granted patents in AI and Natural Language Processing. He is also passionate about gardening and teaching. \u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 249\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 26, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212279628025,"sku":"9781484280041","price":48.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/elZpTTFPTDZuRVJSMnFzTzBNRmhWUT09_acb89eb8-b7c2-4985-aafb-b5f384099745.webp?v=1768088438","url":"https:\/\/bookscloud.io\/products\/advanced-data-analytics-using-python-with-architectural-patterns-text-and-image-classification-and-optimization-techniques-paperback-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}