
Recommender Systems: A Multi-Disciplinary Approach
Recommender Systems: A Multi-Disciplinary Approach (Intelligent Systems) 1st Edition by Monideepa Roy (Editor), Pushpend...

Recommender Systems: A Multi-Disciplinary Approach (Intelligent Systems) 1st Edition by Monideepa Roy (Editor), Pushpend...
IoT in Healthcare Systems: Applications, Benefits, Challenges, and Case Studies (Artificial Intelligence in Smart Health...
Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them 1st Edition by Ram Sha...
Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learni...
AI, Machine Learning and Deep Learning: A Security Perspective 1st Edition by Fei Hu(Author), Xiali Hei(Author) Publishe...
Practical Bioinformatics For Beginners: From Raw Sequence Analysis To Machine Learning Applications by Lloyd Wai Yee Low...
Microsoft Azure AI Fundamentals Certification Companion: Guide to Prepare for the AI-900 Exam (Certification Study Compa...
AI and Business Rule Engines for Excel Power Users: Capture and scale your business knowledge into the cloud – with Micr...
A Toolbox for Digital Twins: From Model-Based to Data-Driven by Mark Asch(Author)Publisher finelybook 出版社: SIAM –...
Fun with Machine Learning: Simplify the Data Science process by automating repetitive and complex tasks using AutoML (En...