Machine learning for absolute beginners: a simple, concise and complete introduction to supervised and unsupervised learning algorithms

By: Grange, JenniferDescription: (74p)ISBN: 9781979613095Subject(s): Machine learning | Algorithms

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Current library	Collection	Call number	Status	Date due	Barcode
Main Stack	Non Fiction	Q325.5 .G73x ND (Browse shelf(Opens below))	Available		BK0026185

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Previous	Q223 .U46b General information programme, UNISIST newsletter.	Q223 .U46b General information programme, UNISIST newsletter.	Q223 .U46b General information programme, UNISIST newsletter.	Q325.5 .G73x ND Machine learning for absolute beginners: a simple, concise and complete introduction to supervised and unsupervised learning algorithms	Q325.5 .N64x 2022 Data science solutions with Python: fast and scalable models using Keras, PySpark MLib, H2O, XGBoost, and Scikit-Learn	Q325.5 .R93 2020 Deep learning with structured data	Q325.5 .V45x 2022 Hands-on artificial intelligence for android: understand machine learning and unleash the power of TensorFlow in android applications with google ML Kit	Next

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