{"product_id":"mastering-java-machine-learning-a-java-developers-guide-to-implementing-machine-learning-and-big-data-architectures-paperback","title":"Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures - Paperback","description":"\u003cp\u003eby \u003cb\u003eUday Kamath\u003c\/b\u003e (Author), \u003cb\u003eKrishna Choppella\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBecome an advanced practitioner with this progressive set of master classes on application-oriented machine learning\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eComprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects\u003c\/li\u003e \u003cli\u003eMore than 15 open source Java tools in a wide range of techniques, with code and practical usage.\u003c\/li\u003e \u003cli\u003eMore than 10 real-world case studies in machine learning highlighting techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools and data analysis.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eJava is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science.\u003c\/p\u003e \u003cp\u003eThis book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today.\u003c\/p\u003e \u003cp\u003eOn completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eMaster key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance.\u003c\/li\u003e \u003cli\u003eExplore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining.\u003c\/li\u003e \u003cli\u003eApply machine learning to real-world data with methodologies, processes, applications, and analysis.\u003c\/li\u003e \u003cli\u003eTechniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning.\u003c\/li\u003e \u003cli\u003eBuild high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies.\u003c\/li\u003e \u003cli\u003eGet a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis book will appeal to anyone with a serious interest in topics in Data Science or those already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have experience with the fundamentals of machine learning and now have a desire to explore the area further, are up to grappling with the mathematical complexities of its algorithms, and you wish to learn the complete ins and outs of practical machine learning.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 556\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.13 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 30, 2017\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42705941659711,"sku":"9781785880513","price":105.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/4c828b72383a2ed8f73bf53666aaaa06.webp?v=1765038611","url":"https:\/\/dhlswag.com\/products\/mastering-java-machine-learning-a-java-developers-guide-to-implementing-machine-learning-and-big-data-architectures-paperback","provider":"BBB","version":"1.0","type":"link"}