Machine learning

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

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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...
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
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,...
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...
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
4 min read
What is multiclass classification?  Multiclass classification is a classification task that consists of more than two classes, (ie. using a model to identify animal types in images from an encyclopedia). In multiclass classification, a sample can only have one class (ie. an elephant is only an elephant;...