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141.
IOT machine learning applications in telecom, energy and agriculture: with raspberry pi and arduino using python by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: India Apress 2020
Availability: Items available for loan: Central Library (1)Call number: 006.31 M4268i.

142.
Adaptive machine learning algorithms with python: solve data analytics and machine learning problems on edge devices by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: India Apress 2022
Availability: Items available for loan: Central Library (1)Call number: 006.31 C3924a.

143.
Physics of data science and machine learning by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: Boca Raton CRC Press 2022
Availability: Items available for loan: Central Library (1)Call number: 530.0285 R191p.

144.
Machine Learning: a first course for engineers and scientists by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: Cambridge Cambridge University Press 2022
Availability: Items available for loan: Central Library (1)Call number: 006.31 L6441m.

145.
Personalized machine learning by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: Cambridge Cambridge University Press 2022
Availability: Items available for loan: Central Library (1)Call number: 006.31 M1196p.

146.
Dive into deep learning by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: Cambridge Cambridge University Press 2024
Availability: Items available for loan: Central Library (1)Call number: 006.31 Z612d.

147.
Linear algebra with machine learning and data by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: Boca Raton CRC Press 2023
Availability: Items available for loan: Central Library (1)Call number: 518.43 Ar143l.

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