{"product_id":"graph-powered-machine-learning-paperback","title":"Graph-Powered Machine Learning (Paperback)","description":"\u003cp\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eUpgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data.\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eSummary\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eIn \u003c\/span\u003e\u003ci style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eGraph-Powered Machine Learning\u003c\/i\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e, you will learn:\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    The lifecycle of a machine learning project\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Graphs in big data platforms\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Data source modeling using graphs\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Graph-based natural language processing, recommendations, and fraud detection techniques\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Graph algorithms\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Working with Neo4J\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003ci style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eGraph-Powered Machine Learning\u003c\/i\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices. Author Alessandro Negro’s extensive experience shines through in every chapter, as you learn from examples and concrete scenarios based on his work with real clients!\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the technology\u003c\/span\u003e\u003c\/strong\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eIdentifying relationships is the foundation of machine learning. By recognizing and analyzing the connections in your data, graph-centric algorithms like K-nearest neighbor or PageRank radically improve the effectiveness of ML applications. Graph-based machine learning techniques offer a powerful new perspective for machine learning in social networking, fraud detection, natural language processing, and recommendation systems.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the book\u003c\/span\u003e\u003c\/strong\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003ci style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eGraph-Powered Machine Learning\u003c\/i\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you’ll master the architectures and design practices of graphs, and avoid common pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eWhat's inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Graphs in big data platforms\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Recommendations, natural language processing, fraud detection\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Graph algorithms\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Working with the Neo4J graph database\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the reader\u003c\/span\u003e\u003c\/strong\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eFor readers comfortable with machine learning basics.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the Author\u003c\/span\u003e\u003c\/strong\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAlessandro Negro\u003c\/b\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e is Chief Scientist at GraphAware. He has been a speaker at many conferences, and holds a PhD in Computer Science.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEbook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty And License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant Of License\u003c\/p\u003e\u003cp\u003eManning Has Authorized The Download By You Of An Unrestricted Number Of Copies Of The Electronic Book (Ebook) In Any Of The Available Formats. Manning Grants You A Nonexclusive, Nontransferable License To Use The Ebook According To The Terms And Conditions Herein. This License Agreement Permits You To Install The Ebook On Any And All Your Devices For Your Personal Use Only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou Shall Not: (1) Share, Resell, Rent, Assign, Timeshare, Distribute, Or Transfer All Or Part Of The Ebook Or Any Rights Granted Hereunder To Any Other Person; (2) Duplicate The Ebook, Except For A Single Backup Or Archival Copy; (3) Remove Any Proprietary Notices, Labels, Or Marks From The Ebook; (4) Transfer Or Sublicense Title To The Ebook To Any Other Party.\u003c\/p\u003e\u003cp\u003e3. Intellectual Property Protection\u003c\/p\u003e\u003cp\u003eThe Ebook Is Owned By Manning And Is Protected By United States And International Copyright And Other Intellectual Property Laws. Manning Reserves All Rights In The Ebook Not Expressly Granted Herein. This License And Your Right To Use The Ebook Terminate Automatically If You Violate Any Part Of This Agreement. In The Event Of Termination, You Must Remove The Original And Any Copies Of The Ebook From All Your Devices.\u003c\/p\u003e\u003cp\u003e4. 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This Agreement Is Governed By The Laws Of The State Of New York.\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506219520070,"sku":"9781617295645","price":4727.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506219552838,"sku":"9781617295645-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/61FEpDu3uJL.jpg?v=1790323577","url":"https:\/\/cb-india.com\/products\/graph-powered-machine-learning-paperback","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}