Free Delivery Over $100
|
|
|||
|
||||
OverviewFull Product DetailsAuthor: Sigrid KeydanaPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.580kg ISBN: 9781032231396ISBN 10: 1032231394 Pages: 394 Publication Date: 05 April 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviews"""The book is very well written and easy to follow with plenty of illustrations and explanations via examples and codes. I have learned a lot from the book and believe that many R users can greatly benefit from it as well even without an extensive machine learning background."" - Yang Ni, Texa A&M University, U.S.A, The MAerican Statistician, April 2024" Author InformationSigrid Keydana is an Applied Researcher at Posit (formerly RStudio, PBC). She has a background in the humanities, psychology, and information technology, and is passionate about explaining complex concepts in a concepts-first, comprehensible way. Tab Content 6Author Website:Countries AvailableAll regions |
||||
