{"product_id":"distributed-machine-learning-with-pyspark-migrating-effortlessly-from-pandas-and-scikit-learn-9781484297506","title":"Distributed Machine Learning with Pyspark: Migrating Effortlessly from Pandas and Scikit-Learn","description":"\u003cp\u003e • Author(s): Abdelaziz Testas\u003cbr\u003e • Publisher: Apress\u003cbr\u003e • Publisher Imprint: Apress\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMigrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eDistributed Machine Learning with PySpark\u003c\/i\u003e offers a roadmap to data scientists considering transitioning from small data libraries (pandas\/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas\/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Naïve Bayes, and neural networks.\u003c\/p\u003e \u003cp\u003eAfter completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary toapply these methods using PySpark, the industry standard for building scalable ML data pipelines.\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\u003eMaster the fundamentals of supervised learning, unsupervised learning, NLP, and recommender systems\u003c\/li\u003e\n\u003cli\u003eUnderstand the differences between PySpark, scikit-learn, and pandas\u003c\/li\u003e\n\u003cli\u003ePerform linear regression, logistic regression, and decision tree regression with pandas, scikit-learn, and PySpark\u003c\/li\u003e\n\u003cli\u003eDistinguish between the pipelines of PySpark and scikit-learn\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e Data scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework.","brand":"Apress","offers":[{"title":"Paperback","offer_id":45030230294679,"sku":"9781484297506","price":3627.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781484297506.webp?v=1768542708","url":"https:\/\/atlanticbooks.com\/products\/distributed-machine-learning-with-pyspark-migrating-effortlessly-from-pandas-and-scikit-learn-9781484297506","provider":"Atlantic Books","version":"1.0","type":"link"}