Blog Archives - Page 8 of 8 - Take Control of ML and AI Complexity

Outlier Detection and Analysis Methods

Outlier detection is a key consideration within the development and deployment of machine learning algorithms. Models are often developed and leveraged to perform outlier detection for different organizations that rely on large datasets to function. Economic modeling, financial forecasting, scientific research, and e-commerce campaigns are some of the varied areas that machine learning-driven outlier detection […]

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Machine Learning Concept Drift – What is it and Five Steps to Deal With it

Blog, Without Image | Seldon

Concept drift is a major consideration for ensuring the long-term accuracy of machine learning algorithms. Concept drift is a specific type of model drift, and can be understood as changes in the relationship between the input and target output. The properties of the target variables may evolve and change over time. As the model has been

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How to Deploy your Machine Learning Models

Blog, Without Image | Seldon

Machine learning deployment is the process of deploying a machine learning model in a live environment. The model can be deployed across a range of different environments and will often be integrated with apps through an API. Learning how to deploy machine learning models is a key step in an organization gaining operational value from

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Transfer Learning for Machine Learning

Blog, With Image | Seldon

Transfer learning for machine learning is when elements of a pre-trained model are reused in a new machine learning model. If the two models are developed to perform similar tasks, then generalized knowledge can be shared between them. This approach to machine learning development reduces the resources and amount of labelled data required to train

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Four Types of Machine Learning Algorithms Explained

Blog, With Image | Alex Buckalew

The four types of machine learning algorithms that we aim to explain are behind a range of technologies, whether providing predictive analytics to businesses or powering the decision-making of driverless cars. There are distinct approaches to machine learning which change how these systems learn from data. In general, there are four main types of machine

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What is Kubernetes?

Blog, Without Image | Seldon

Kubernetes is an open-source platform used to orchestrate and manage containers and containerized applications. It allows for the automation of key elements of container management, including scaling, scheduling, monitoring and container replication. It’s used by a huge range of organizations and developers to streamline the management of containerized workloads. Kubernetes was originally developed by Google

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What is Machine Learning?

Blog, Without Image | Seldon

Machine learning (ML) is a process by which a system learns from data to undergo iterative improvement without direct human control. Instead of operating on a static algorithm designed by a programmer, the algorithm is trained on sample data to create a model which makes sense of the data. Models can be used to provide

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Information Age: How Machine Learning Will Revolutionize Drug Discovery

Blog, Without Image | Alex Housley

In this Editor’s Choice piece for Information Age, Seldon CEO and Founder Alex Housley discusses how machine learning is set to revolutionise drug discovery. Over the past 18 months, we’ve all seen how crucial the pharmaceutical industry can be for society during a public health crisis. The ability to speedily and safely discover, develop, and

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Outlier Detection and Analysis Methods

Machine Learning Concept Drift – What is it and Five Steps to Deal With it

How to Deploy your Machine Learning Models

Transfer Learning for Machine Learning

Four Types of Machine Learning Algorithms Explained

What is Kubernetes?

What is Machine Learning?

Information Age: How Machine Learning Will Revolutionize Drug Discovery

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