What Does 2016 Mean for Data Science?

(D_K/Shutterstock.com) I don’t imagine many people outside the tech bubble realize how much their lives were impacted by data science in 2015. Amazon (NASDAQ: AMZN) recommendations, marketing campaigns, IoT tech, Uber, Siri, price comparison sites, gaming and image recognition, are all fueled, to varying degrees, by data science. Plenty more is going on behind the scenes. However, it would be a stretch to say that data science is ‘mainstream.’ The profession still has much more to prove. 2016 will undoubtedly see a series of interesting developments, both in the application of data science and changes to the industry. In finance, the algorithms that underpin these systems are largely powered by data science. Indeed, the financial industry is one of the pioneers of data science techniques. Nevertheless, the adoption of data…


Link to Full Article: What Does 2016 Mean for Data Science?