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Deep Learning with Electronic Health Record (EHR) Systems

Walk into any machine learning conference and ask people about the applications of ML in healthcare and most will respond with the canonical example of using computer vision to diagnose diseases from medical scans (followed by a prolonged debate about “should radiologists be worried about their jobs”). But there exists another source of data, beyond imaging studies, that can change the way we approach health: the electronic health record (EHR).

How Youtube is recommending your next video

In a recent paper [1] published by Google researchers and presented at RecSys 2019 (Copenhagen, Denmark) insight was provided in how their video platform Youtube recommends which videos to watch. In this blogpost I will try to summarise my findings after reading this paper.

Microsoft open sources SandDance, a visual data exploration tool

SandDance, the beloved data visualization tool from Microsoft Research, has been re-released as an open source project on GitHub. This new version of SandDance has been re-written from the ground up as an embeddable component that works with modern JavaScript toolchains.

How AI Is Modernizing Chinese Agriculture

Since ancient times China has been an agricultural country, with both huge demand for and large-scale production of a wide range of agricultural products. China’s per capita arable land area however is far less than the world average, and the quality of superior arable land is relatively small.

A Gentle Introduction to XGBoost for Applied Machine Learning

XGBoost is an algorithm that has recently been dominating applied machine learning and Kaggle competitions for structured or tabular data. XGBoost is an implementation of gradient boosted decision trees designed for speed and performance.