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Adapting Machine Learning Algorithms to Novel Use Cases
If there was a metric for success in the data science profession, it would require a multi-dimensional scoring model. This metric would cover a data scientist’s technical skills and talents, analytic literacies and ways of thinking, and soft skills and aptitudes.  Soft skills include a collection of aptitudes that... Read more
What do Popular Movies About AI Get Wrong?
AI has been a popular topic for movies and fascinated audiences for over 60 years. Hollywood hasn’t always gotten it right—in fact, most of the time, they’ve been totally off. What is it about artificial intelligence that entices directors? What are they missing when they create movies about AI?... Read more
Why Should You Do a Data Science Mini Bootcamp?
Companies are ready and willing to hire data scientists and jobs are going fast. So, job-seekers need to make themselves hire-able and stand out in a crowded field. Bootcamps have opened up and become an alternate method for getting the job-skills you may need, however, they still have some... Read more
What Are a Few AI Research Labs on the West Coast?
Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside AI research labs. It’s often from those labs that open source projects are started.  Institutes like Open AI, NASA’s JPL, Google Deepmind, MIT CSAIL, BAIR, The Turing Institute, and Max... Read more
7 Reasons Your Data Science Resume is Suboptimal
The backgrounds of those seeking or continuing a career in data science are varied. The one constant: a solid data science resume that will help you secure your first or next career move. Use this checklist to ensure your resume isn’t holding you back from getting the job you... Read more
Is AI the Future of Digital Influencers?
The term “influencer” has been populating the digital sphere for a long time now, and so far, it has gone largely undefined. As we know it, an influencer can be anyone that holds influence over their audience, community, or platform. Celebrities, politicians, models were the original ones; then came... Read more
You Can’t Buy Your Way Out of Data Science Problems
You launched a data science initiative, and the results have been underwhelming. As a business leader, you understand the value of investing in a project with a high potential ROI, but the project just siphons funds without showing improvement. So what’s the issue? Data science problems aren’t like other... Read more
If Your Business Can’t Compete With AI, Then Quit
Make no mistake. AI is going to take some jobs. It might even take entire industries and revolutionize the way we do business. If you’re worried about how your business will hold up in the coming era of machines, you aren’t alone. Your business isn’t immune, but it will... Read more
Causal Inference: An Indispensable Set of Techniques for Your Data Science Toolkit
Editor’s Note: Want to learn more about key causal inference techniques, including those at the intersection of machine learning and causal inference? Attend ODSC West 2019 and join Vinod’s talk, “An Introduction to Causal Inference in Data Science.” Data scientists often get asked questions of the form “Does X... Read more
Are Successful Data Scientists Hired or Trained?
Editor’s note: Jennifer is a speaker for ODSC West 2019 this November in San Francisco! Be sure to check out her talk, “Successful Enterprise Analytics Starts with Literacy” then! The data science valley of despair is real. Time after time, leaders who’re well-versed in case studies and industry research... Read more