Machine learning

Algorithms that independently learn to make predictions and decisions after training on datasets instead of being explicitly programmed.

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15 April 2020
7 min read
You’ve probably heard it said in machine learning that when it comes to getting great results, the data is even more important than the model you use. This is true, and it’s not just the native data that’s so important but also how we choose to transform it. This is where feature...
8 April 2020
8 min read
Python is one of the most commonly used programming languages by data scientists and machine learning engineers. Although there has been no universal study on the prevalence of machine learning algorithms in Python in machine learning, a 2019 GitHub analysis of public repositories tagged as “machine-learning”...
1 April 2020
5 min read
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...
26 March 2020
6 min read
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...
24 March 2020
6 min read
  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...
20 March 2020
4 min read
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...
5 March 2020
6 min read
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,...
3 March 2020
4 min read
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...
28 February 2020
5 min read
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...
26 February 2020
3 min read
Last week, our CEO, Diego Oppenheimer, and CEO of ArthurAI, Adam Wenchel, hosted a webinar on the state of enterprise machine learning in 2020. The webinar was moderated by Algorithmia VP of Engineering, Ken Toole. View recording Diego and Adam leverage their knowledge of AI and machine learning and...