Operational Database Management Systems
List of Books on Big Data, Data Analytics, Data Mining, Data Management, Artificial Intelligence, Machine Learning and Deep Learning
Q1: What inspired you to write this book on XGBoost and predictive modeling? We have always been passionate about the potential of machine learning and data science to solve real-world problems. XGBoost stands out...
1st Edition, Kindle Edition by Partha Pritam Deka (Author), Joyce Weiner (Author) Format: Kindle Edition Build an understanding of XGBoost and gain hands-on experience with the XGBoost Python API through multiple practical use cases for classification, Regression...
“Part of why I wrote Time is Now was to demystify this technology. Steve Jobs once compared the invention of the PC to a bicycle. I’ve always found that fascinating. With AI, we also...
This new book is a guide to designing and building knowledge graphs from enterprise relational databases in practice. It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the...
Cyber Insurance as an Incentive Mechanism for Cybersecurity Mingyan Liu, University of Michigan This book is intended for anyone interested in obtaining a quantitative understanding of cyber insurance and how innovation is possible around this...
The authors of this new book in our Computer Architectureseries have over 40 years of combined research experience utilizing FPGAs in robotic applications, both in academic research and commercial deployments. They have demonstrated that, by co-designing...
Backups are one of the most, if not the most, important defenses against ransomware. If compromised, however, attackers can use them against you, forcing you to choose between losing your data and paying the...
Edited By Per Nymand-Andersen Publisher RiskBooks. LINK TO ORDER. Data Science in Economics and Finance is a key resource for any financial-market participant, policy-maker, central banker, economist or decision-maker required to understand the impact and opportunities...
How to Avoid Project PitfallsJoyce Weiner, IntelThis book addresses five common pitfalls that prevent AI/Data science projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual...
Editor Per Nymand-Andersen LINK TO THE PUBLISHER WEB PAGE Risk Books Data Science in Economics and Finance is a key resource for any financial-market participant, policy-maker, central banker, economist or decision-maker required to understand the...