Machine learning

Background

The opportunities and challenges provided by Big Data have also made their entrance into Life Science and Healthcare research. Machine learning is a sub-discipline in the broader field of Artificial Intelligence, with the core principle of the computer being encouraged to identify new relations and correlations within the dataset on its own, rather than pre-coding said relationships.

Based on a training dataset, an algorithm learns to identify patterns in the data and can make a number of predictions, for which it can be rewarded or punished. After numerous iterations, the mature algorithms can be applied to real-word data. These underlying algorithms can take various forms, including decision trees, naïve Bayes classification, logistic regression, support vector machines, clustering algorithms, principal component analysis and many more.

Our Approach

Our consultants are highly skilled in developing custom solutions in areas of algorithm development, data mining, image processing, (un)supervised learning, pattern recognition, deep learning, neural network development and others. We apply the highest industry standards in Information Technology to your needs in Computational Biology.

The BISC Global consultants combine great expertise in Machine Learning with excellent communication and project management skills. In addition, during each project our consultants have the support of the entire BISC Global team and receive coaching from industry or academic experts. Our consultants work with our customers at their offices, which ensures a close collaboration and easier communication. Regular follow-up meetings between the customer, the consultant and the BISC Global managers and experts ensures total customer satisfaction.