Special topics in machine learning
Algorithmia is machine learning, managed. Deploy, serve, and manage your ML portfolio.
10 July 2020
5 min read
In machine learning, a parametric model is any model that captures all the information about its predictions within a finite set of parameters. Sometimes the model must be trained to select its parameters, as in the case of neural networks. Sometimes the parameters are selected by hand or through a simple... read more
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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...
21 February 2020
6 min read
Despite its almost ubiquitous use in the business industry and social sciences, time series analysis and by extension time series forecasting is one of the least understood machine learning methods new data scientists and machine learning engineers are undertaking.  The purpose of this blog is to provide...
20 February 2020
5 min read
As a data scientist or machine learning engineer, your specialty is building out robust machine learning models. Your purpose is to make a positive impact on your business by offering data insights, reducing costs, increasing revenue, or even generating customer delight. As your collection of models...
13 February 2020
5 min read
Time series data, the key data points that have an associated timestamp allowing indexing in time order, are in most cases INSERT-intensive, requiring specialized time series databases as opposed to traditional relational practice as seen in SQL. Prior to advancements in machine learning, much of the...
7 February 2020
4 min read
Computer coding must be involved to implement any type of AI system, and there is a variety of programming languages that lend themselves to specific AI or machine learning tasks. Let’s look at which programming languages will be the most beneficial for your specific use cases. We have composed a...
3 February 2020
8 min read
Linear regression in machine learning is a supervised learning technique that comes from classical statistics. However, with the rapid rise of machine learning and deep learning, its use has surged as well, because neural networks with linear (multilayer perceptron) layers perform regression. This...
29 January 2020
3 min read
Following the release of the 2020 State of Enterprise Machine Learning report, we created an interactive data visualization so anyone can explore the survey data, conduct analysis, and see how a company’s machine learning efforts compare to others like it.  The State of Enterprise Machine Learning...
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...