Microsoft Accelerator - Six New Data Science and Machine Learning Trends to Watch in 2017

Here, Sundeep Sanghavi, Co-founder and CEO of Data RPM, a graduate of our Seattle Machine Learning Accelerator, explores six exciting new trends that will make you look at data science and machine learning with fresh eyes. As we embark on 2017, the exciting potential of data science and machine learning is just waiting to be unleashed in ways that will benefit people, businesses and economies across the world. Here are six of the key trends that will shape the development of this incredible technology this year. For those that aren't au fait with the term, Machine Learning (ML) is a subfield of computer science that sees computers (and other devices) gifted with the ability to learn things without explicit programming. This year, we will see Automated ML dominate the data science industry.