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A Guide to Deploying Machine Learning Models on Kubernetes

How to Deploy Models on Kubernetes Kubernetes is a container orchestration platform used to manage containerized applications. It used to automate important parts of the container management process such as container replication, scaling, monitoring and scheduling. It’s an open-source platform written in Google’s Go programming language. Kubernetes is one of the most popular container management […]

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Decision Trees in Machine Learning Explained

Blog, With Image | Seldon

Decision trees in machine learning are a common way of representing the decision-making process through a branching, tree-like structure. It’s often used to plan and plot business and operational decisions as a visual flowchart. The approach sees a branching of decisions which end at outcomes, resulting in a tree-like structure or visualization. Decision trees

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Machine Learning Regression Explained

Blog, With Image | Seldon

Machine Learning Regression is a technique for investigating the relationship between independent variables or features and a dependent variable or outcome. It’s used as a method for predictive modeling in machine learning, in which an algorithm is used to predict continuous outcomes. Solving regression problems is one of the most common applications for machine learning

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Six Types of AI Bias Everyone Should Know

Blog, With Image | Seldon

AI Bias appears in machine learning in lots of different forms and in a world that is increasingly becoming more reliant on this type of technology, it’s important to understand the most common types of bias. But as a place to start, the important thing to consider is that training a machine learning model is

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Machine Learning Bias and Fairness

Blog, With Image | Alex Buckalew

Machine learning is becoming integral to how the modern world functions, with more and more sectors harnessing the power of algorithms to automate tasks and make decisions. As machine learning models become ingrained within decision-making processes for a range of organizations, the topic of bias in machine learning is an important consideration. The aim for

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What is Covariate Shift?

Blog, With Image | Seldon

Covariate shift is a specific type of dataset shift often encountered in machine learning. It is when the distribution of input data shifts between the training environment and live environment. Although the input distribution may change, the output distribution or labels remain the same. Covariate shift is also known as covariate drift, and is a very

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Outlier Detection and Analysis Methods

Blog, With Image | Seldon

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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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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With Image

A Guide to Deploying Machine Learning Models on Kubernetes

Decision Trees in Machine Learning Explained

Machine Learning Regression Explained

Six Types of AI Bias Everyone Should Know

Machine Learning Bias and Fairness

What is Covariate Shift?

Outlier Detection and Analysis Methods

Transfer Learning for Machine Learning

Four Types of Machine Learning Algorithms Explained

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