{"product_id":"9781787281035","title":"Scala: Guide for Data Science Professionals","description":"\u003cp\u003e\u003cb\u003eScala will be a valuable tool to have on hand during your data science journey for everything from data cleaning to cutting-edge machine learning\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild data science and data engineering solutions with ease\u003c\/li\u003e\n\u003cli\u003eAn in-depth look at each stage of the data analysis process — from reading and collecting data to distributed analytics\u003c\/li\u003e\n\u003cli\u003eExplore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulations, and source code\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eThis learning path is perfect for those who are comfortable with Scala programming and now want to enter the field of data science. Some knowledge of statistics is expected.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eTransfer and filter tabular data to extract features for machine learning\u003c\/li\u003e\n\u003cli\u003eRead, clean, transform, and write data to both SQL and NoSQL databases\u003c\/li\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\u003eLoad data from HDFS and HIVE with ease\u003c\/li\u003e\n\u003cli\u003eRun streaming and graph analytics in Spark for exploratory analysis\u003c\/li\u003e\n\u003cli\u003eBundle and scale up Spark jobs by deploying them into a variety of cluster managers\u003c\/li\u003e\n\u003cli\u003eBuild dynamic workflows for scientific computing\u003c\/li\u003e\n\u003cli\u003eLeverage open source libraries to extract patterns from time series\u003c\/li\u003e\n\u003cli\u003eMaster probabilistic models for sequential data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eScala is especially good for analyzing large sets of data as the scale of the task doesn't have any significant impact on performance. Scala's powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOnce you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You'll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You'll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eArmed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You'll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You'll also explore machine learning topics such as clustering, dimentionality reduction, Naive Bayes, Regression models, SVMs, neural networks, and more.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis learning path combines some of the best that Packt has to offer into 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 Data Analysis Cookbook, Arun Manivannan\u003c\/li\u003e\n\u003cli\u003eScala for Machine Learning, Patrick R. Nicolas\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003cp\u003eA complete package with all the information necessary to start building useful data engineering and data science solutions straight away. It contains a diverse set of recipes that cover the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47140078616816,"sku":"9781787281035","price":71.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781787281035_p0.jpg?v=1763739656","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781787281035","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}