Special topics in machine learning
Algorithmia is machine learning, managed. Deploy, serve, and manage your ML portfolio.
30 November 2020
2 min read
At Algorithmia, we take the security of your machine learning operations seriously. We’re happy to share that Algorithmia has successfully completed a Type 2 SOC 2 examination. read more
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28 January 2020
5 min read
In the last year alone, there have been countless developments in machine learning (ML) tooling and applications. Facial recognition and other computer vision applications are more sophisticated, natural language processing applications like sentiment analysis are increasingly complex, and the number...
24 January 2020
5 min read
AI software enters business workflow When we hear the term AI software, some of us think of a futuristic world where machine learning has taken artificial intelligence to extreme levels. Fortunately, today’s AI services provide tools for all types of businesses to interact with complex data.  AI...
22 January 2020
7 min read
Photo by Lysander Yuen Data scientists and machine learning engineers often encounter a disconnect between what they learned (in school, a bootcamp, or independently), and how this knowledge is applied in their work. For instance, you may be proficient in R or Python, but still be usure how the code...
13 January 2020
4 min read
Machine learning model security is not discussed enough. In serverless GPU–attached environments, block storage solutions like S3 are dependable for persisting your model files. Other than the URI, no other relevant information regarding the model file is saved in the source code.  This exposes an...
7 January 2020
8 min read
Analytic thinking has become a necessary skill for almost everyone working in a business environment. Although data scientists and analysts may be more intimately involved in handling and manipulating data, managers, executives, and other business leaders will be the ones making decisions based on a...
7 January 2020
5 min read
The early stages of machine learning saw experiments involving theories of computers recognizing patterns in data and learning from them. Today, after building upon those foundational experiments, machine learning is more complex.  While machine learning algorithms have been around for a long time,...
2 January 2020
3 min read
DevOps Engineers are delighted when they find a product or service that fits in with their already refined CI/CD processes. When we choose a new pipeline tool, engineers depend on a number of factors. Ease of use, repeatable processes, and a solid support model are key. Choosing a continuous integration...
27 December 2019
5 min read
Outside of regression, multi-class classification is probably the most common machine learning task. Learn how to properly use it in building machine learning models.
24 December 2019
6 min read
Machine learning is providing enterprise-level solutions and careers for many companies. It is quite a broad field, however, and comprises many subcategories and countless uses. So what exactly is machine learning, how and why is it used, and what companies are using it? Let’s dive into those questions...
19 December 2019
3 min read
Simplifying model deployment  Deploying models should be an uncomplicated endeavor. To that end, Algorithmia continually aims to ensure machine learning’s value is seen, which means getting to model deployment as quickly and as painlessly as possible. Fortunately, there are many paths to get there. A...