Top stories published by Trends in Data Science in 2019

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Top Stories published by Trends in Data Science in 2019

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2019

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Abhisek Gautam in Trends in Data Science

Oct 13, 2019

Data Science in Agriculture

Introduction

5 responses

Rajat Katyal in Trends in Data Science

Apr 14, 2019

Role of Data Science in Digital Advertising

It’s no secret that digital marketing plays a crucial role in the overall marketing landscape. Over the years, there has been a significant increase in the marketing spend share in digital vs non-digital platforms like newspapers and magazines. Digital…

Michael Gordon in Trends in Data Science

Aug 17, 2019

Data Science in Astronomy

Astronomy is a scientific discipline which has a long history stretching back to antiquity and even has roots in…

Lachlan McGowan in Trends in Data Science

Sep 29, 2019

Reshaping healthcare through big data: an Australian perspective

Siddhi Auti in Trends in Data Science

Aug 24, 2019

Becoming a Data-Driven Healthcare Organization

Variety, veracity & volume of data has created…

Adithya Krishna in Trends in Data Science

Jul 28, 2019

Big data and Big Bashes

How data and analytics is helping in making modern day limited-overs cricket…

1 response

Rebecca O’Dwyer in Trends in Data Science

May 6, 2019

Innovating to avoid the next tailings dam failure

Listening to the Data: Opportunities for Data-driven Innovation in Environmental Acoustics

A core facet of acoustic engineering is the collection of data. Noise and vibration measurements form the basis for the predictions, assessments and designs produced by…

2020

These were the top 10 stories published by Trends in Data Science in 2019. You can also dive into monthly archives for 2019 by using the calendar at the top of this page.

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Trends in Data Science

Trends in Data Science publishes evidence backed discussion papers, outlining trends in data science and the potential for data science to drive innovation across sectors. TDS is written by students on the University of Technology Sydney, Masters in Data Science and Innovation.

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