This post was co-authored by Muhammad Raza Khan & Akshay Mehra (both former interns), with Mohamed Abdel-Hady & Debraj GuhaThakurta (Senior Data Scientist Leads) and Wei Guo & Zoran Dzunic (Data Scientists) at Microsoft. We recently published two real-world scenarios demonstrating how to use Azure Machine Learning alongside the Team Data Science Process (TDSP) to… Read more
As we ring in the new year, we’d like to kick things off in our usual fashion – with a quick recap of our most popular posts from the year just concluded. So here are our “Top 10” posts from 2017, sorted in increasing order of readership – enjoy! 10. Quick-Start Guide to the Data Science… Read more
By Kenji Takeda, Director of Azure for Research at Microsoft. Doctors face daily decisions about the best care for their patients, and their own clinical experience can be enhanced using evidence-based medicine, such as through clinical trial data. As David Tovey, Editor-in-Chief, Cochrane, explained, “Before evidence-based medicine came along, people were reliant on the expertise… Read more
This post is by Miguel Fierro, Ilia Karmanov, Thomas Delteil, Andreas Argyriou, and Max Kaznady, all Data Scientists at Microsoft. Natural Language Processing (NLP) is one of the fields in which deep learning has made significant progress. Specifically, the area of text classification, where the objective is to categorize documents, paragraphs or individual sentences into… Read more