Operational Database Management Systems
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...
Morgan & Claypool has published multiple books on autonomous vehicles from leading researchers around the world. They provide both theoretical background and science which is directly applicable to anyone working in autonomous vehicle engineering including...
Suyash Gupta, University of California, Davis,Jelle Hellings, University of California, Davis,Mohammad Sadoghi, University of California, Davis Morgan & Claypool Publishers Blockchains provide data transparency. Blockchains ensure data integrity by using strong cryptographic primitives. Blockchains...
Mohammad Taher Pilehvar, Tehran Inst. of Advanced Studies Jose Camacho-Collados,Cardiff University Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation,...
With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet,...
Conversational AI Dialogue Systems, Conversational Agents, and Chatbots Michael McTear, Ulster University Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to...
AI for Computer Architecture. Principles, Practice, and Prospects Lizhong Chen, Oregon State UniversityDrew Penney, Oregon State UniversityDaniel Jiménez, Texas A&M University Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture...
The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are...