21
Hands-on computer vision with tensorflow 2 : leverage deep learning to create powerful image processing apps with tensorflow 2.0 and Keras [E-Book] /
22
Hands-on deep learning algorithms with Python : master deep learning algorithms with extensive math by implementing them using TensorFlow [E-Book] /
23
Hands-On Deep Learning with Go : a practical guide to building and implementing neural network models using Go [E-Book] /
24
Hands-on ensemble learning with Python : build highly optimized ensemble machine learning models using scikit-learn and Keras [E-Book] /
25
Hands-On machine learning with TensorFlow. js : a guide to building ML applications integrated with web technology using the TensorFlow. js library [E-Book] /
26
Hands-on neural networks with TensorFlow 2.0 : understand TensorFlow, from static graph to eager execution, and design neural networks [E-Book] /
27
Intelligent Astrophysics [E-Book] /
28
Intelligent data engineering and automated learning [E-Book] : 9th international conference Daejeon, South Korea, November 2-5, 2008, IDEAL 2008 : proceedings /
29
Introduction to Artificial Intelligence [E-Book] /
30
An Introduction to Machine Learning [E-Book] /
31
Logic for programming, artificial intelligence, and reasoning [E-Book] : 15th international conference, LPAR 2008, Doha, Qatar, November 22-27, 2008 : proceedings /
32
Machine learning for multimodal interaction [E-Book] : 5th international workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008 : proceedings /
33
Machine learning for OpenCV 4 : intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, second edition [E-Book] /
34
Machine Learning in Medical Imaging [E-Book] : 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings /
35
Machine learning : Medien, Infrastrukturen und Technologien der Künstlichen Intelligenz [E-Book] /
36
Machine Learning, Optimization, and Data Science [E-Book] : 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II /
37
Machine learning with go : leverage go's powerful packages to build smart machine learning and predictive applications, 2nd edition [E-Book] /
38
Machine learning with neural networks : an introduction for scientists and engineers [E-Book] /
39
Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python [E-Book] /
40
Machine learning with the elastic stack : expert techniques to integrate machine learning with distributed search and analytics [E-Book] /