In the next 5 years, machine learning will play an increasingly important role in healthcare. As a data science consultancy, SFL Scientific [https://sflscientific.com], has been on the forefront of innovation and we have seen an explosion of applications in the healthcare and pharmaceutical verticals. Whether it's aggregating new results in medical journals using Natural Language Processing, predicting diseases using Time-Series Analysis, or detecting cancer from MRIs using Machine Vision, healthcare is on the verge of a big data revolution. The purpose of this course will be to introduce you to these topics and more. We start from the basics of machine learning and guide you through how to apply these techniques to real-world healthcare applications. Whilst this course uses healthcare use cases as examples, the techniques are general and apply to a wide range of industries and scientific fields.
What am I going to get from this course?
- Understand the underlying concepts and algorithms utilized in the Healthcare domain
- Be able to apply machine learning to real life Healthcare applications
- Be able to apply machine learning techniques to general applications in industry using the ideas, concepts, and methods discussed