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OverviewFull Product DetailsAuthor: Pramod SinghPublisher: APress Imprint: APress Edition: 2nd ed. Weight: 0.463kg ISBN: 9781484277768ISBN 10: 1484277767 Pages: 220 Publication Date: 09 December 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1: Introduction to Spark 3.1.- Chapter 2: Manage Data with PySpark.- Chapter 3: Introduction to Machine Learning.- Chapter 4: Linear Regression with PySpark.- Chapter 5: Logistic Regression with PySpark.- Chapter 6: Ensembling with PySpark.- Chapter 7: Clustering with PySpark.- Chapter 8: Recommendation Engine with PySpark.- Chapter 9: Advanced Feature Engineering with PySpark.ReviewsAuthor InformationPramod Singh works at Bain & Company in the Advanced Analytics Group. He has extensive hands-on experience in large scale machine learning, deep learning, data engineering, designing algorithms and application development. He has spent more than 13 years working in the field of Data and AI at different organizations. He’s published four books – Deploy Machine Learning Models to Production, Machine Learning with PySpark, Learn PySpark and Learn TensorFlow 2.0, all for Apress. He is also a regular speaker at major conferences such as O’Reilly’s Strata and AI conferences. Pramod holds a BTech in electrical engineering from B.A.T.U, and an MBA from Symbiosis University. He has also earned a Data Science certification from IIM–Calcutta. He lives in Gurgaon with his wife and 5-year-old son. In his spare time, he enjoys playing guitar, coding, reading, and watching football. Tab Content 6Author Website:Countries AvailableAll regions |