Edward Tufte, a pioneer of data visualization, will deliver a keynote address at the Microsoft Data Science Summit on the future of data analysis—and how to draw more credible conclusions from your data. If you’re not yet familiar with Tufte’s work, take a look at his seminal book The Visual Display of Quantitative Information. It’s… Read more
This post is authored by Amanda Papp, Sr. Recruiter of AI/Machine Learning at Microsoft. It’s a good time to be a data scientist. As a senior recruiter in AI and machine learning, I’ve had a front row seat to the skyrocketing demand for skilled machine learning practitioners, big data engineers, and AI specialists over the… Read more
This post is authored by Wee Hyong Tok, Senior Data Scientist Manager, and Danielle Dean, Senior Data Scientist Lead, at Microsoft. Wee and Danielle are speakers at the upcoming Microsoft Data Science Summit on September 26-27 in Atlanta, GA. How do businesses and data scientists turn raw data into intelligent action? Why do some companies… Read more
The Microsoft Data Science Summit is filled with leading thinkers in big data, machine learning, AI, and open-source technologies. Join us, and get their insights and technical expertise as they discuss real-world challenges and innovative solutions emerging across data science. Here’s a sample of some of the speakers you’ll see—and what they’ll be talking about:… Read more
This post is authored by Anil Bhansali, Managing Director at Microsoft India R&D. All roads lead to Bangalore as the countdown begins to the inaugural edition of the Machine Learning and Data Sciences Conference. Thanks for your tremendous response to this event – registrations are now closed and we expect a full house. The computing… Read more
In case you missed it: Earlier this year, Brandon Rohrer, Senior Data Scientist in the Data Group at Microsoft, published a popular blog post titled How to Do Data Science. Brandon is one of our speakers at the upcoming Microsoft Data Science Summit, a two-day intensive event for data scientists, big data engineers, ML practitioners… Read more