Browse Items (24 total)

In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data…

Robots as social companions in close proximity to humans have a strong potential of becoming more and more prevalent in the coming years, especially in the realms of elder day care, child rearing, and education. As human beings, we have the…

This open access book will give insights into global issues of work and work systems design from a wide range of perspectives. Topics like the impact of AI in the workplace as well as design for digital sovereignty at the workplace or foresight…

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis,…

This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization,…

This original and interdisciplinary volume explores the contemporary semiotic dimensions of the face from both scientific and sociocultural perspectives, putting forward several traditions, aspects, and signs of the human utopia of creating a hybrid…

Research conducted on robotic applications has grown significantly in the last decade, and today, robotic systems are used for a variety of purposes. To achieve general application of robots, researchers have attempted to study various methods and…

privacy; data protection; data mining; predictive analytics

Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing

“Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application…