Guide to Deep Learning Basics: Logical,Historical and Philosophical Perspectives
Guide to Deep Learning Basics: Logical,Historical and Philosophical Perspectives by: Sandro Skansi ISBN-10: 3030375900 I...
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A Beginner’s Guide to Image Shape Feature Extraction Techniques
A Beginner’s Guide to Image Shape Feature Extraction Techniques (Intelligent Signal Processing and Data Analysis) ...
Foundations of Data Science
Foundations of Data Science Authors: Avrim Blum – John Hopcroft – Ravi Kannan ISBN-10: 1108485065 ISBN-13: 9...
Deep Learning for Autonomous Vehicle Control: Algorithms,State-of-the-Art,and Future Prospects
Deep Learning for Autonomous Vehicle Control: Algorithms,State-of-the-Art,and Future Prospects (Synthesis Lectures on Ad...
Big Data Analytics Methods: Analytics Techniques in Data Mining,Deep Learning and Natural Language Processing,2nd Edition
Big Data Analytics Methods: Analytics Techniques in Data Mining,Deep Learning and Natural Language Processing Authors: P...
A Concise Introduction to Machine Learning
A Concise Introduction to Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition) Authors...
Connected Vehicles in the Internet of Things: Concepts,Technologies and Frameworks for the IoV
Connected Vehicles in the Internet of Things: Concepts,Technologies and Frameworks for the IoV by: Zaigham Mahmood ISBN-...
Semantic Software Design: A New Theory and Practical Guide for Modern Architects
Semantic Software Design: A New Theory and Practical Guide for Modern Architects Authors: Eben Hewitt ISBN-10: 149204595...
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
Practical Time Series Analysis: Prediction with Statistics and Machine Learning Authors: Aileen Nielsen ISBN-10: 1492041...
Artificial intelligence – When do machines take over
Artificial intelligence – When do machines take over? (Technik im Fokus) Authors: Klaus Mainzer ISBN-10: 366259716...