Applied machine learning for data science practitioners / Vidya Subramanian, Apple, Cupertino, USA.
By: Subramanian, Vidya [author]
Language: English Publisher: Hoboken, New Jersey : Wiley, [2025]Copyright date: ©2025Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781394155392; 9781394155385Subject(s): Machine learning | Quantitative research -- Data processing | Mathematical statistics -- Data processingGenre/Form: Electronic books.DDC classification: 006.3/1 LOC classification: Q325.5Online resources: Full text is available at Wiley Online Library Click here to view Summary: "Welcome to the world of Data Science! The world has witnessed remarkable technological advancements in the past decade, often taken for granted. From facial recognition unlocking our phones to the emergence of self-driving cars, Data Science applications have surpassed our wildest imaginations. Large Language Models (LLMs) have become an integral part of our lives, enabling content generation from prompts. Data is already transforming how we live and work, and its importance will only increase with new data being generated every day"-- Provided by publisher.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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EBOOK
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COLLEGE LIBRARY | COLLEGE LIBRARY | 006.31 Su165 2025 (Browse shelf) | Available (In Process) |
Includes index.
"Welcome to the world of Data Science! The world has witnessed remarkable technological advancements in the past decade, often taken for granted. From facial recognition unlocking our phones to the emergence of self-driving cars, Data Science applications have surpassed our wildest imaginations. Large Language Models (LLMs) have become an integral part of our lives, enabling content generation from prompts. Data is already transforming how we live and work, and its importance will only increase with new data being generated every day"-- Provided by publisher.
Description based on print version record and CIP data provided by publisher; resource not viewed.
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