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Thinking Data Science: A Data Science Practitioner's Guide

Thinking Data Science: A Data Science Practitioner's Guide

Hardcover

Series: Springer Applied Machine Learning

DatabasesGeneral ComputersProbability & Statistics

PREORDER - Expected ship date January 24, 2027

ISBN10: 3032258693
ISBN13: 9783032258694
Publisher: Springer
Published: Jan 24 2027
Pages: 493
Language: English
This definitive guide to machine learning projects answers the questions aspiring and experienced data scientists frequently face. Are you unsure which technology to use for your ML development? Should you choose GOFAI, ANN/DNN, or transfer learning? Can you rely on AutoML for model development? What if a client provides gigabytes or terabytes of data for building analytic models? How do you handle high-frequency, dynamic datasets? This book provides practitioners with a consolidated view of the entire data science process in a single cheat sheet.

Also from

Sarang, Poornachandra

Also in

General Computers