As a data analyst, your job is to help stakeholders derive meaningful insights from data. Although many data analysts use math, statistics, and probability on a daily basis, data analysis is actually both an art and a science. By carefully choosing the colors, labels, and format of visualization, you can lead people to notice outliers […]

According to Gartner, 85 percent of machine learning projects fail, leaving most organizations without a positive ROI. To avoid spending unnecessary time, money, and energy reinventing the wheel, many organizations have started employing machine learning frameworks. These frameworks simplify the process of algorithm development for engineers, making ML easier, more scalable, and more accessible.  Machine […]

If you’ve spent some time browsing technical job boards, you’ve likely noticed the word “agile” appear in quite a few job descriptions. The Agile methodology is a popular concept in the technical world—and while it’s most commonly used in the software development cycle, non-engineer teams also frequently rely on the method as a framework to […]

When will demand for a certain product spike during the holiday season? Can we detect fraudulent ordering patterns? How do we reduce wait time in the call center? These are all questions machine learning (ML) engineers can answer through Amazon Web Services (AWS), a comprehensive cloud computing platform that creates accurate and scalable ML predictions, […]