While data analysis is always technical (and sometimes even a little bit repetitive), that doesn’t mean you can’t have a little bit of fun with it. The internet is a treasure trove of valuable information for aspiring data scientists. Playing around with existing online datasets is the best type of practice: not only is it […]

One of the most substantial economic effects of the COVID-19 pandemic was the acceleration of workplace trends like the transition to remote work. While some businesses needed to shut their doors amid the economic slowdown, others have been growing and interviewing this whole time. Companies like GitHub, Salesforce, Oracle, and Pfizer were among the top […]

In 2020, data engineering emerged as the fastest-growing tech occupation, beating out back-end development and senior data science. But the intense demand doesn’t make the data engineer career path any less competitive or the jobs any easier to get. Companies depend on their data engineers to build and activate the data pipelines that power analytics. […]

In 2018, Amazon scrapped its in-house applicant tracking system because of one major flaw: it didn’t like resumes containing the word “women,” so if an applicant listed “mentoring women entrepreneurs” as one of their achievements, they were out of luck. The system had been trained to vet applicants by observing patterns in resumes submitted to […]

Shortly after GPT-3 first launched in June 2020 out of an Elon Musk-backed AI lab, the internet was soon awash in quirky experiments generated by the autoregressive language model, which produces human-like text through deep learning. One was an essay published in The Guardian, written by the AI itself—a treatise on why humans needn’t fear […]

Whenever we access information online, we actively take part in a feedback loop that also creates new information about our own behaviors. From the moment someone makes a search in a web browser, engages with social media, checks the weather on their smartphone, or sends a text to their friend: they generate data. That data is […]

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, […]

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 […]