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Central Library E-Books: Recent submissions
Now showing items 301-320 of 4070
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Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition). First Edition.
E. R. Davies (editor), Matthew Turk (editor)
(
Academic Press
,
2022
)
Computer Vision: A Modern Approach.-2nd Edition.
Forsyth, David A
;
Ponce, Jean
(
Pearson Education (US)
,
2012
)
Digital image processing.- 4th Edition.
Gonzalez, Rafael C.
;
Woods, Richard E.
(
Pearson,
,
2018
)
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics.
Solomon, Justin
(
CRC Press,
,
2015
)
Dive into Deep Learning
Zhang, Aston
;
Lipton, Zachary C.
;
Li, Mu
;
Smola, Alexander J.
(
d2l.ai,
,
2023
)
Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners. First Edition.
Bisong, Ekaba
(
Apress
,
2019
)
Neural Networks and Deep Learning: A Textbook.-2nd Edition.
Aggarwal, Charu C.
(
Springer
,
2023
)
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow. First Edition.
Ekman, Magnus
(
Addison-Wesley Professional
,
2022
)
Deep Learning: Foundations and Concepts. First Edition.
Bishop, Christopher M.
;
Bishop, Hugh
(
Springer
,
2023
)
Deep Learning with Python.-2nd Edition.
Chollet, Francois
(
Manning Publications,
,
2021
)
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. First Edition.
Huyen, Chip
(
O'Reilly Media,
,
2020
)
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.-3rd Edition.
Geron, Aurelien
(
O'Reilly Media
,
2022
)
Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play. 2nd Edition.
Foster, David
(
O'Reilly Media
,
2023
)
Linear Algebra and Optimization for Machine Learning: A Textbook. First Edition.
Aggarwal, Charu C.
(
Springer,
,
2020
)
An Introduction to Statistical Learning: With Applications in R.-2nd edition
James, Gareth
;
Witten, Daniela
;
Hastie, Trevor
;
Tibshirani, Robert
(
Springer,
,
2021
)
An Introduction to Statistical Learning: with Applications in Python
James, Gareth
;
Witten, Daniela
;
Hastie, Trevor
;
Tibshirani, Robert
;
Taylor, Jonathan
(
Springer Nature
,
2023
)
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies.- 2nd Edition
Kelleher, John D.
;
Namee, Brian Mac
;
D'Arcy, Aoife
(
The MIT Press,
,
2020
)
The CUDA Handbook: A Comprehensive Guide to GPU Programming.
Wilt, Nicholas
(
Addison-Wesley Professional,
,
2013
)
How to write a damn good mystery: a practical step-by-step guide from inspiration to finished manuscript. 1st Edition.
Frey, James N
(
St. Martin's Press,
,
2004
)
The Art of Game Design: A Book of Lenses. 3rd Edition.
Schell, Jesse
(
CRC Press,
,
2020
)
Now showing items 301-320 of 4070
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