Q325.5 .A66 1991
|
Applications of learning & planning methods / |
1 |
Q325.5 .A66 2020eb
|
Applied intelligent decision making in machine learning / |
2 |
Q325.5 .A67 2021
|
Applied Learning Algorithms for Intelligent IoT. |
2 |
Q325.5 .A67 2023
|
Applied statistical learning : with case studies in Stata / |
1 |
Q325.5 .A76 2019eb
|
A computational approach to statistical learning / |
1 |
Q325.5 .A85 2009
|
Advances in machine learning first Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009 : proceedings / |
1 |
Q325.5 .A88 2021
|
Automated design of machine learning and search algorithms / |
1 |
Q325.5 .A92 2015eb
|
Efficient learning machines : theories, concepts, and applications for engineers and system Designers / |
2 |
Q325.5 .A99 2019
|
Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots / |
1 |
Q325.5 .B35 2021
|
Deep learning in science / |
1 |
Q325.5 .B38 2001
|
Geometric computing for perception action systems : concepts, algorithms, and scientific applications / |
1 |
Q325.5 .B45 2015eb
|
Machine learning : hands-on for developers and technical professionals / |
3 |
Q325.5 .B45 2020
|
Machine learning : hands-on for developers and technical professionals / |
6 |
Q325.5 .B455 2015
|
Metric learning / |
2 |
Q325.5 B455 2020
|
MACHINE LEARNING : hands-on for developers and technical professionals. |
1 |
Q325.5 .B47 1991
|
Machine learning : an integrated framework and its applications / |
1 |
Q325.5 .B47 2019
|
Machine learning risk assessments in criminal justice settings / |
1 |
Q325.5 .B49 2017
|
Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R / |
1 |
Q325.5 .B49 2017eb
|
Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R / |
1 |
Q325.5 .B53 2020
|
Practical machine learning with Rust : creating intelligent applications in Rust / |
2 |