
Explainable Deep Learning AI: Methods and Challenges
Explainable Deep Learning AI: Methods and Challenges by Jenny Benois-Pineau (Editor), Romain Bourqui (Editor), Dragutin ...
Explainable Deep Learning AI: Methods and Challenges by Jenny Benois-Pineau (Editor), Romain Bourqui (Editor), Dragutin ...
Hamiltonian Monte Carlo Methods in Machine Learning by Tshilidzi Marwala(Author), Rendani Mbuvha(Author), Wilson Tsakane...
Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications with Python and R 1st ed....
Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python 2nd edition...
MINDFUL AI: Reflections on Artificial Intelligence October 26, 2022 by Murat Durmus(Author) ASIN: B0BKMK6HLJ Publisher f...
Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems 1st ed. Edition by Andre Ye , Zian W...
Blockchain in a Volatile-Uncertain-Complex-Ambiguous World by Kaliyan Mathiyazhagan (Editor), V. Raja Sreedharan (Editor...
Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python 1st ed. Edition by A...
Deep Network Design for Medical Image Computing: Principles and Applications (The MICCAI Society book Series) by Haofu L...
Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques 1s...