Data science : the hard parts ; techniques for excelling at data science / Daniel Vaughan.
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TextPublication details: Sebastopol, CA : O'Reilly Media, Inc., 2024. Description: xvi, 237 pages : black and white, illus. ; 23 cmISBN: 978-1-098-14647-4Subject(s): Data mining | Big data -- Analytics | Machine learning | Data science | Forecasting | Linear regressionDDC classification: GS/Cir. 005.7 V364 2024
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LRC - Graduate School Library Circulation - Graduate School | GS/Cir. 005.7 V364 2024 (Browse shelf(Opens below)) | 1 | Available | GS00000364 |
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| GS/Cir. 005.7 F533 2025 c1 Advanced data analytics and visualization / | GS/Cir. 005.7 F533 2025 c2 Advanced data analytics and visualization / | GS/Cir. 005.7 Sn674 2025 Big data analytics : tools and technology / | GS/Cir. 005.7 V364 2024 Data science : the hard parts ; techniques for excelling at data science / | GS/Cir. 006.3'07 C316 2025 Generative AI for academics / | GS/Cir. 006.3'07 M494 2025 Generative AI for students : the essential guide to using Artificial Intelligence for study at University / | GS/Cir. 006.312 Il29 2022 c1 Illustrated handbook of business intelligence / |
Includes indexes and biographical records.
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