{"product_id":"9781785288807","title":"Apache Spark for Data Science Cookbook","description":"\u003cp\u003e\u003cb\u003eOver insightful 90 recipes to get lightning-fast analytics with Apache Spark\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUse Apache Spark for data processing with these hands-on recipes\u003c\/li\u003e\n\u003cli\u003eImplement end-to-end, large-scale data analysis better than ever before\u003c\/li\u003e\n\u003cli\u003eWork with powerful libraries such as MLLib, SciPy, NumPy, and Pandas to gain insights from your data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eThis book is for novice and intermediate level data science professionals and data analysts who want to solve data science problems with a distributed computing framework. Basic experience with data science implementation tasks is expected. Data science professionals looking to skill up and gain an edge in the field will find this book helpful.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore the topics of data mining, text mining, Natural Language Processing, information retrieval, and machine learning.\u003c\/li\u003e\n\u003cli\u003eSolve real-world analytical problems with large data sets.\u003c\/li\u003e\n\u003cli\u003eAddress data science challenges with analytical tools on a distributed system like Spark (apt for iterative algorithms), which offers in-memory processing and more flexibility for data analysis at scale.\u003c\/li\u003e\n\u003cli\u003eGet hands-on experience with algorithms like Classification, regression, and recommendation on real datasets using Spark MLLib package.\u003c\/li\u003e\n\u003cli\u003eLearn about numerical and scientific computing using NumPy and SciPy on Spark.\u003c\/li\u003e\n\u003cli\u003eUse Predictive Model Markup Language (PMML) in Spark for statistical data mining models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eSpark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark's selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark's data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book contains a comprehensive range of recipes designed to help you learn the fundamentals and tackle the difficulties of data science. This book outlines practical steps to produce powerful insights into Big Data through a recipe-based approach.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47152616145136,"sku":"9781785288807","price":29.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781785288807_p0.jpg?v=1763729428","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781785288807","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}