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Discrete Mathematics for Data Science provides an early course in both Data Science and Discrete Mathematics, focusing on how a deeper understanding of the former can unlock a more effective implementation of the latter.
CS Why is a book that presents a straightforward, curiosity-based approach to filling in the blanks around common,... Læs mere
CS Why is a book that presents a straightforward, curiosity-based approach to filling in the blanks around common,... Læs mere
This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning.
Legal Risks in the Software Development Lifecycle addresses the growing complexity of software development as both a technical and legal discipline. It... Læs mere
Legal Risks in the Software Development Lifecycle addresses the growing complexity of software development as both a technical and legal discipline. It... Læs mere
Both beginning- and experienced programmers can improve the quality of their programming with this informal textbook. The author draws on... Læs mere
This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves... Læs mere
Leverage existing free open source software to build an identity and access management (IAM) platform that can serve your organization for the long term.