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15 Open Datasets for Healthcare
Machine Learning is exploding into the world of healthcare. When we talk about the ways ML will revolutionize certain fields, healthcare is always one of the top areas seeing huge strides, thanks to the processing and learning power of machines. There’s a good chance you either are or will... Read more
AI Ethics: Avoiding Our Big Questions
A lot of discussion over AI is hyperbolic comparisons to the Terminator. While this isn’t helpful to the discussion, addressing ethics concerns with bigger, faster AI on the horizon is a necessary part of development. Instead of willful ethics violations, we may have more trouble with ignoring the potential... Read more
AI and the Visual Revolution
We’ve focused a lot on what AI can do for language processing, but one aspect of AI that’s gaining speed is visual. So much of our data is visual, so using these AI models to parse and work with visual media is a crucial aspect of decoding our big... Read more
Meet the Speakers of ODSC NYC 2019
Data science, by nature, is always evolving. We at ODSC are always happy to showcase that exciting, fast-paced change. At ODSC NYC 2019, we’ve brought together some of the brightest data scientists to make that point. From introductory talks for those who are just entering the field, to personal... Read more
How to Get Started with SQL
Just about every popular app and social media platform has an engine under the hood that powers the information and data we absorb. With hundreds of millions of data points to keep track of, there has to be a well-oiled machine to maintain that database. Every developer has their... Read more
10 Compelling Machine Learning Dissertations from Ph.D. Students
As a data scientist, an integral part of my work in the field revolves around keeping current with research coming out of academia. I frequently scour arXiv.org for late-breaking papers that show trends and fertile areas of research. Other sources of valuable research developments are in the form of... Read more
Top 10 Big Data Blunders, Part 2
In the first part of the series, Dr. Stonebraker outlined five ways to know for sure companies are making mistakes in their big data plans and adoptions. He focused a lot on the missed opportunity businesses would have in not hiring the best talent and embracing the move to... Read more
Building Data Science Teams: What Do You Need to Know?
Building a data science team from scratch involves more than just a list of requirements scraped from HR. Your data science team needs to solve problems and provide real business value, necessities that are difficult to describe in the traditional job posting. At ODSC East 2019, Haftan Eckholdt, chief... Read more
3 Unique Ways to Get a Job in Data Science
All too often, job seekers focus too much on building their skill sets without thinking about the softer skills of how to get a job in data science in the first place. It doesn’t matter how good of a data scientist you are – you won’t get a job... Read more
Trends in AI: Towards Learning Systems That Require Less Annotation
There’s a lot of hype surrounding AI. Unfortunately, a lot of it is hyperbolic warnings about how we’ll lose our humanity and the machines will be smarter than we are. Just about every field and institution is preparing for an AI revolution. There’s even a brand new Minister of... Read more