Applied machine learning for data science practitioners / Vidya Subramanian

By:

Subramanian, Vidya

Material type:

TextPublication details: Hoboken : John Wiley & Sons, 2025Description: xxix, 625 pISBN:

9781394155378

Subject(s):

DDC classification:

006.31 SUB-A

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:

Books

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Holdings
Current library	Call number	Status	Date due	Barcode
UMT Main Campus	006.31 SUB-A (Browse shelf(Opens below))	Checked out	2026-09-07	152446

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Previous	006.31 SIV-P Principles of soft computing [+CD]	006.31 SOM-M Machine learning with SVM and other kernel methods	006.31 SRI-P Practical natural language processing with Python with case studies from industries using text data a scale /	006.31 SUB-A Applied machine learning for data science practitioners /	006.31 SUP- Supervised and unsupervised learning for data science /	006.31 SUT-R Reinforcement learning : an introduction /	006.31 TAU-A Artificial intelligence basics : anon-technical intoduction /	Next

Includes bibliography and 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

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