Machine Learning Methods for Genomic Applications

Have you ever wondered how YouTube recommends videos to you, banks detect fraudulent activity and send notifications to you, or Gmail filters the spam messages from your inbox? These are just a few examples of how the world of business is currently using machine learning (ML). The field of ML has impacted numerous areas of modern society and is responsible for some of the most significant improvements in technologies such as self-driving cars, exploring the galaxy, predictions for disease outbreaks, and so on. The enormous growth in ML is primarily driven by its huge success in solving real-world business problems in healthcare, finance, e-commerce, agriculture, life sciences, pharmaceuticals, ...

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