{"product_id":"9781785883712","title":"Large Scale Machine Learning with Spark","description":"\u003cp\u003e\u003cb\u003eDiscover everything you need to build robust machine learning applications with Spark 2.0\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet the most up-to-date book on the market that focuses on design, engineering, and scalable solutions in machine learning with Spark 2.0.0\u003c\/li\u003e\n\u003cli\u003eUse Spark's machine learning library in a big data environment\u003c\/li\u003e\n\u003cli\u003eYou will learn how to develop high-value applications at scale with ease and a develop a personalized design\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eThis book is for data science engineers and scientists who work with large and complex data sets. You should be familiar with the basics of machine learning concepts, statistics, and computational mathematics. Knowledge of Scala and Java is advisable.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet solid theoretical understandings of ML algorithms\u003c\/li\u003e\n\u003cli\u003eConfigure Spark on cluster and cloud infrastructure to develop applications using Scala, Java, Python, and R\u003c\/li\u003e\n\u003cli\u003eScale up ML applications on large cluster or cloud infrastructures\u003c\/li\u003e\n\u003cli\u003eUse Spark ML and MLlib to develop ML pipelines with recommendation system, classification, regression, clustering, sentiment analysis, and dimensionality reduction\u003c\/li\u003e\n\u003cli\u003eHandle large texts for developing ML applications with strong focus on feature engineering\u003c\/li\u003e\n\u003cli\u003eUse Spark Streaming to develop ML applications for real-time streaming\u003c\/li\u003e\n\u003cli\u003eTune ML models with cross-validation, hyperparameters tuning and train split\u003c\/li\u003e\n\u003cli\u003eEnhance ML models to make them adaptable for new data in dynamic and incremental environments\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eData processing, implementing related algorithms, tuning, scaling up and finally deploying are some crucial steps in the process of optimising any application.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSpark is capable of handling large-scale batch and streaming data to figure out when to cache data in memory and processing them up to 100 times faster than Hadoop-based MapReduce. This means predictive analytics can be applied to streaming and batch to develop complete machine learning (ML) applications a lot quicker, making Spark an ideal candidate for large data-intensive applications.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book focuses on design engineering and scalable solutions using ML with Spark. First, you will learn how to install Spark with all new features from the latest Spark 2.0 release. Moving on, you'll explore important concepts such as advanced feature engineering with RDD and Datasets. After studying developing and deploying applications, you will see how to use external libraries with Spark.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn summary, you will be able to develop complete and personalised ML applications from data collections,model building, tuning, and scaling up to deploying on a cluster or the cloud.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book takes a practical approach where all the topics explained are demonstrated with the help of real-world use cases.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47172261314800,"sku":"9781785883712","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781785883712_p0.jpg?v=1763729311","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781785883712","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}