{"product_id":"9781787124554","title":"Scala:Applied Machine Learning","description":"\u003cp\u003e\u003cb\u003eLeverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild functional, type-safe routines to interact with relational and NoSQL databases with the help of the tutorials and examples provided\u003c\/li\u003e\n\u003cli\u003eLeverage your expertise in Scala programming to create and customize your own scalable machine learning algorithms\u003c\/li\u003e\n\u003cli\u003eExperiment with different techniques; evaluate their benefits and limitations using real-world financial applications\u003c\/li\u003e\n\u003cli\u003eGet to know the best practices to incorporate new Big Data machine learning in your data-driven enterprise and gain future scalability and maintainability\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eThis Learning Path is for engineers and scientists who are familiar with Scala and want to learn how to create, validate, and apply machine learning algorithms. It will also benefit software developers with a background in Scala programming who want to apply machine learning.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCreate Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations\u003c\/li\u003e\n\u003cli\u003eDeploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive\u003c\/li\u003e\n\u003cli\u003eSolve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters\u003c\/li\u003e\n\u003cli\u003eApply key learning strategies to perform technical analysis of financial markets\u003c\/li\u003e\n\u003cli\u003eUnderstand the principles of supervised and unsupervised learning in machine learning\u003c\/li\u003e\n\u003cli\u003eWork with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet\u003c\/li\u003e\n\u003cli\u003eConstruct reliable and robust data pipelines and manage data in a data-driven enterprise\u003c\/li\u003e\n\u003cli\u003eImplement scalable model monitoring and alerts with Scala\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eThis Learning Path aims to put the entire world of machine learning with Scala in front of you. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eScala for Data Science, the first module in this course, is a tutorial guide that provides tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed building data science and data engineering solutions.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe second course, Scala for Machine Learning guides you through the process of building AI applications with diagrams, formal mathematical notation, source code snippets, and useful tips. A review of the Akka framework and Apache Spark clusters concludes the tutorial.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe next module, Mastering Scala Machine Learning, is the final step in this course. It will take your knowledge to next level and help you use the knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this course, you will be a master at Scala machine learning and have enough expertise to be able to build complex machine learning projects using Scala.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eScala for Data Science, Pascal Bugnion\u003c\/li\u003e\n\u003cli\u003eScala for Machine Learning, Patrick Nicolas\u003c\/li\u003e\n\u003cli\u003eMastering Scala Machine Learning, Alex Kozlov\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003cp\u003eA tutorial with complete examples, this course will give you the tools to start building useful data engineering and data science solutions straightaway. This course provides practical examples from the field on how to correctly tackle data analysis problems, particularly for modern Big Data datasets.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47135701893360,"sku":"9781787124554","price":69.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781787124554_p0.jpg?v=1763738481","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781787124554","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}