t In this chapter we give an introduction to data analytics and machine learning technologies, as well as some examples of technologies used in the DataBio project. We start with a short intdroduction of basic concepts. We then describe how data analytics and machine learning markets have evolved. Next, we describe some basic technologies in the area. Finally, we describe how data analytics and machine learning were used in selected pilot cases of the DataBio project
During the past decade there has been an explosion in computation and information tech-nology. With ...
The goal of this tutorial is to introduce participants to two concrete and widely used data analytic...
The volume of data that is generated, stored, and communicated across different industrial sections,...
t In this chapter we give an introduction to data analytics and machine learning technologies, as we...
Data science has gained importance since available data and hardware facilities have been ubiquitous...
This book introduces the basic methodologies for successful data analytics. Matrix optimization and ...
Machine learning and data mining keep gaining importance in terms of providing auxiliary methods and...
This chapter presents an introduction to data mining with machine learning. It gives an overview of ...
This chapter sets out to illustrate the dictum that there is (almost) nothing new under the sun. Mor...
With machine learning playing a gradually essential part in the data analysis field, machine learnin...
The goal of data science is to improve decision making through the analysis of data. Today data scie...
VLEs and other technologies commonly used for enhancing learning and teaching collect a variety of d...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
“Introduction to Data Science and Machine Learning” has been created with the goal to provide beginn...
The aim of this paper is to present advanced methods for the search for new knowledge contained in B...
During the past decade there has been an explosion in computation and information tech-nology. With ...
The goal of this tutorial is to introduce participants to two concrete and widely used data analytic...
The volume of data that is generated, stored, and communicated across different industrial sections,...
t In this chapter we give an introduction to data analytics and machine learning technologies, as we...
Data science has gained importance since available data and hardware facilities have been ubiquitous...
This book introduces the basic methodologies for successful data analytics. Matrix optimization and ...
Machine learning and data mining keep gaining importance in terms of providing auxiliary methods and...
This chapter presents an introduction to data mining with machine learning. It gives an overview of ...
This chapter sets out to illustrate the dictum that there is (almost) nothing new under the sun. Mor...
With machine learning playing a gradually essential part in the data analysis field, machine learnin...
The goal of data science is to improve decision making through the analysis of data. Today data scie...
VLEs and other technologies commonly used for enhancing learning and teaching collect a variety of d...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
“Introduction to Data Science and Machine Learning” has been created with the goal to provide beginn...
The aim of this paper is to present advanced methods for the search for new knowledge contained in B...
During the past decade there has been an explosion in computation and information tech-nology. With ...
The goal of this tutorial is to introduce participants to two concrete and widely used data analytic...
The volume of data that is generated, stored, and communicated across different industrial sections,...
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