{"product_id":"next-generation-machine-learning-with-spark-covers-xgboost-lightgbm-spark-nlp-distributed-deep-learning-with-keras-and-more-paperback","title":"Next-Generation Machine Learning with Spark: Covers Xgboost, Lightgbm, Spark Nlp, Distributed Deep Learning with Keras, and More - 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\u003eButch Quinto\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAccess real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.\u003cbr\u003e\u003c\/p\u003eThe past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003e\u003cb\u003eNext-Generation Machine Learning with Spark\u003c\/b\u003e\u003c\/i\u003e provides a gentle introduction to Spark and Spark MLlib and advances to more powerful, third-party machine learning algorithms and libraries beyond what is available in the standard Spark MLlib library. By the end of this book, you will be able to apply your knowledge to real-world use cases through dozens of practical examples and insightful explanations. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBe introduced to machine learning, Spark, and Spark MLlib 2.4.x\u003c\/li\u003e\n\u003cli\u003eAchieve lightning-fast gradient boosting on Spark with the XGBoost4J-Spark and LightGBM libraries\u003c\/li\u003e\n\u003cli\u003eDetect anomalies with the Isolation Forest algorithm for Spark\u003c\/li\u003e\n\u003cli\u003eUse the Spark NLP and Stanford CoreNLP libraries that support multiple languages\u003c\/li\u003e\n\u003cli\u003eOptimize your ML workload with the Alluxio in-memory data accelerator for Spark\u003c\/li\u003e\n\u003cli\u003eUse GraphX and GraphFrames for Graph Analysis\u003c\/li\u003e\n\u003cli\u003ePerform image recognition using convolutional neural networks\u003c\/li\u003e\n\u003cli\u003eUtilize the Keras framework and distributed deep learning libraries with Spark \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData scientists and machine learning engineers who want to take their knowledge to the next level and use Spark and more powerful, next-generation algorithms and libraries beyond what is available in the standard Spark MLlib library; also serves as a primer for aspiring data scientists and engineers who need an introduction to machine learning, Spark, and Spark MLlib.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAccess real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.\u003cbr\u003e\u003c\/p\u003eThe past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eNext-Generation Machine Learning with Spark\u003c\/i\u003e provides a gentle introduction to Spark and Spark MLlib and advances to more powerful, third-party machine learning algorithms and libraries beyond what is available in the standard Spark MLlib library. By the end of this book, you will be able to apply your knowledge to real-world use cases through dozens of practical examples and insightful explanations.\u003c\/p\u003e\u003cp\u003eYou will: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBe introduced to machine learning, Spark, and Spark MLlib 2.4.x\u003c\/li\u003e\n\u003cli\u003eAchieve lightning-fast gradient boosting on Spark with the XGBoost4J-Spark and LightGBM libraries\u003c\/li\u003e\n\u003cli\u003eDetect anomalies with the Isolation Forest algorithm for Spark\u003c\/li\u003e\n\u003cli\u003eUse the Spark NLP and Stanford CoreNLP libraries that support multiple languages\u003c\/li\u003e\n\u003cli\u003eOptimize your ML workload with the Alluxio in-memory data accelerator for Spark\u003c\/li\u003e\n\u003cli\u003eUse GraphX and GraphFrames for Graph Analysis\u003c\/li\u003e\n\u003cli\u003ePerform image recognition using convolutional neural networks\u003c\/li\u003e\n\u003cli\u003eUtilize the Keras framework and distributed deep learning libraries with Spark \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eButch Quinto\u003c\/b\u003e is founder and Chief AI Officer at Intelvi AI, an artificial intelligence company that develops cutting-edge solutions for the defense, industrial, and transportation industries. As Chief AI Officer, Butch heads strategy, innovation, research, and development. Previously, he was the Director of Artificial Intelligence at a leading technology firm and Chief Data Officer at an AI startup. As Director of Analytics at Deloitte, Butch led the development of several enterprise-grade AI and IoT solutions as well as strategy, business development, and venture capital due diligence. He has more than 20 years of experience in various technology and leadership roles in several industries including banking and finance, telecommunications, government, utilities, transportation, e-commerce, retail, manufacturing, and bioinformatics. Butch is the author of \u003ci\u003eNext-Generation Big Data\u003c\/i\u003e (Apress) and a member of the Association for the Advancement of Artificial Intelligence and the American Association for the Advancement of Science. \u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 355\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.78 x 10 x 7 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 February 23, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493450281267,"sku":"9781484256688","price":66.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/b2hXOHVVQTIySklnellUSkpQcC9KUT09.webp?v=1759953513","url":"https:\/\/www.vysn.com\/products\/next-generation-machine-learning-with-spark-covers-xgboost-lightgbm-spark-nlp-distributed-deep-learning-with-keras-and-more-paperback","provider":"VYSN","version":"1.0","type":"link"}