This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications …
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Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0About This BookLearn why …
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD …
This book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery in Inductive Databases, KDID …
This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, …
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine …
This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the …
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that …
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer …
AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner …
This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, …
Leverage Kubernetes for the rapid adoption of emerging technologies. Kubernetes is the future of enterprise platform development and has become …
Enterprise interest in machine learning and artificial intelligence continues to grow, with organizations dedicating increasingly large teams and resources to …
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This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly …
This book provides readers with a thorough understanding of various research areas within the field of data science. The book …
We are pleased to present the proceedings of the 13th European Conference on Machine Learning (LNAI 2430) and the 6th …
Build predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey FeaturesBuild highly accurate state-of-the-art machine …
The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital …
Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and …
This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in …
Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the …
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as …
Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness …
This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of Data Science. It covers …