
Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype
Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/C...

Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/C...

Cybersecurity Risk Management: Enhancing Leadership and Expertise Author: Kurt J. Engemann (Editor), Jason A. Witty (Edi...

CCNP and CCIE Data Center Core DCCOR 350-601 Official Cert Guide Author: Somit Maloo (Author), Iskren Nikolov (Author), ...
Book Description About the Book Reactive applications are built on four core principles: responsiveness,resilency,elasti...
Pro Spring MVC with WebFlux: Web Development in Spring Framework 5 and Spring Boot 2 by Iuliana Cosmina,Marten Deinum Pa...

Practical GitLab Services: A Complete DevOps Guide for Developers and Administrators Author: Jeffrey Painter (Author) Pu...

Absolute Beginner's Guide to Javascript, Third Edition Author: Kirupa Chinnathambi (Author) Publisher: Pearson Edition: ...

Begin to Code: Building apps and games in the Cloud Author: Rob Miles (Author) Publisher: Microsoft Press Edition: 1st P...

Integro-Differential Equations: Analysis, Stability and Controllability (Fractional Calculus in Applied Sciences and Eng...

Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series) Author: Daniel Y. Chen (Author) Publi...