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A concise introduction to machine learning / A. C. Faul

By:

Faul, A. C

Material type: Text

TextPublication details: Boca Raton CRC Press 2020Description: 314 pISBN:

9780815384106

Subject(s):

Machine learning

DDC classification:

006.31 FAU-A

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Books	BITS Pilani Hyderabad	003-007	General Stack (For lending)	006.31 FAU-A (Browse shelf(Opens below))	Checked out	16/08/2025	42135

Total holds: 0

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Previous	006.31 BON-G Machine learning algorithms : popular algorithms for data science and machine learning /	006.31 CAR-E Agile machine learning : effective machine learning inspired by the agile manifesto /	006.31 ELA-H Deep learning pipeline : building a deep learning model with Tensor Flow /	006.31 FAU-A A concise introduction to machine learning /	006.31 GIA-N How algorithms create and prevent fake news : exploring the impacts of social media, deepfakes, GPt-3, and more /	006.31 GIF-N Practical MLOps : operatonalizing machine learning models /	006.31 GOU-J Probabilistic machine learning for civil engineers /	Next

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities and aims to give a thorough and in-depth treatment and develop intuition while remaining concise.

This useful reference should be essential on the bookshelves of anyone employing machine learning techniques.

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