
Probabilistic Machine Learning: Advanced Topics
Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) by Kevin P. Murphy (A...
Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) by Kevin P. Murphy (A...
React 18 Design Patterns and Best Practices: Design, build, and deploy production-ready web applications with React by l...
Hands-On Design Patterns with C++: Solve common C++ problems with modern design patterns and build robust applications, ...
Handbook of Research on Ai-based Technologies and Applications in the Era of the Metaverse First Edition by Alex Khang (...
Linear Algebra and Optimization with Applications to Machine Learning: Volume I: Linear Algebra for Computer Vision, Rob...
Practical Threat Detection Engineering: A hands-on guide to planning, developing, and validating detection capabilities ...
Agile Web Development with Rails 7 1st Edition by Sam Ruby(Author), Dave Thomas(Author)Publisher finelybook 出版社: Pragma...
Kubernetes Patterns: Reusable Elements for Designing Cloud Native Applications 2nd Edition by Bilgin Ibryam(Author), Rol...
Everybody’s Guide to Natural ESP: Unlocking The Extrasensory Power of Your Mind by Ingo Swann (Author), Marilyn Fe...
CRV – Controlled Remote Viewing: Collected manuals & information to help you learn this intuitive art. by Daz...