Technology companies have been emphasizing fraud detection for decades. Internet fraud first began appearing in 1994, with the introduction of e-commerce businesses. Since then, companies have taken large strides in fraud detection, but with these advancements also come improved tactics from the cyber...

Machine learning data analysis uses algorithms to continuously improve itself over time, but quality data is necessary for these models to operate efficiently. Today, we will be discussing what machine learning datasets are, the types of data needed for machine learning to be effective, and where engineers...

  The increasing demand in artificial intelligence and machine learning specialists has put a spotlight on the skills and knowledge needed to excel in this profession. In particular, many aspiring machine learning engineers want to know which programming languages they should master to be competitive...

There is no doubt that more needs to be said about how time series data analysis advances DevOps. Time series classification is a tertiary aspect of time series data itself. By harnessing performance benefits from the powerful capabilities of a machine learning deployment platform, multiple types of...

As a Seattle-based company, it feels like we’ve been hearing and talking about the Coronavirus (COVID-19) for a while now. And one thing is very clear, it is not going away quickly and will continue to impact individuals, families, communities, and businesses.  We are very mindful that this is a time...

Here at Algorithmia, we have written and talked extensively about the challenges of deploying machine learning models at scale and the importance of data access in general machine learning development and infrastructure. When it comes down to it, ML is critical for any modern company to remain competitive.  Machine...

Natural language processing has been one of the most poignant and visible uses of machine learning capabilities in recent years. From the basics of recurrent neural network architectures that were able to detect the first named entity pairings, to now where transformers are able to look at an entire...

According to LinkedIn’s 2020 Emerging Jobs Report, the demand for “Artificial Intelligence Specialists” (comprised of a few related roles), has grown 74 percent in the last four years. With more companies than ever (even those outside of the tech) relying on AI tasks as part of their everyday business,...

The big data industry has grown at an incredible rate as businesses realize the importance of insightful data analysis. But what exactly is big data, and how does it correspond to artificial intelligence? We will compare the two realms, what they are, their differences, and how the combination of both...

Data scientists and data engineers fulfill different positions within an organization, but often work in conjunction with one another. Below we will discuss the difference between these roles; including job responsibilities, typical projects, and the technical skills needed for each. What is a data...