Machine learning is becoming an integral part in how the modern world functions. The collection of data has increased exponentially alongside advances in digital technology, and the power of machine learning is evolving too. Machine learning models learn and improve from these huge banks of data that are now available. Models are becoming more powerful, […]
Explainability in Machine Learning Read More »
Machine learning is already an important part of how modern organization and services function. Whether in social media platforms, healthcare, or finance, machine learning models are deployed in a variety of settings. But the steps needed to train and deploy a model will differ depending on the task at hand and the data that’s available.
Supervised vs Unsupervised Learning Explained Read More »
Demand is a key indicator of the operational and expansion prospects for retail organizations, and being able to forecast this can be the difference between retailers surviving and thriving in a competitive landscape. The most critical business factors, such as revenue, profit margins, capital expenditure, supply chain management etc., are directly dependent on demand.
Predicting Customer Demand With Machine Learning Read More »
Many companies are using data to drive their decisions. The aim is to remove uncertainties, guesswork, and gut feeling. A/B testing is a methodology that can be applied to validate a hypothesis and steer the decisions in the right direction. In this blog post, I want to show how to create a containerized micro-service architecture
A practical guide to A/B Testing in MLOps with Kubernetes and Seldon Core Read More »
If you’re a retailer looking for innovative approaches to engage customers, sometimes the answers are more available than you realize and found in evaluating company data. Data analysis provides insights to help you increase consumer engagement with the right products, services or messaging at the right time, through potentially multiple devices. However, evaluating large sets
Personalization Through Machine Learning Read More »
One of the most critical challenges with the data of the retailer is to determine the substitutable product pairs, usually online. While we apply machine learning approaches, it should involve assortment optimization engines to generate outcomes. The shopping experience is definitely ruling the brick and mortar stores, however, the rise of online shopping has revolutionized
When Substitution Models Go Wrong Read More »
Machine learning optimization is an important part of all machine learning models. Whether used to classify an image in facial recognition software or cluster users into like-minded customer groups, all types of machine learning model will have undergone a process of optimization. In fact, machine learning itself can be described as solving an optimization problem,
Algorithm Optimization for Machine Learning Read More »
Artificial neural network models are behind many of the most complex applications of machine learning. Classification, regression problems, and sentiment analysis are some of the ways artificial neural networks are being leveraged today. As an emerging field, there are many different types of artificial neural networks. They vary for a variety of reasons, such as
Neural Network Models Explained Read More »
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
A Guide to Deploying Machine Learning Models on Kubernetes Read More »
The implementation and growth of open source software (OSS) across business functions and geographies has had many positive impacts making it sometimes worth the hidden risks, in particular to help businesses to quickly develop new processes faster. OSS is generally free, making it popular for teams wanting quick results without budget sign-off or the fear
Open Source Machine Learning : Managing the Hidden Risks Read More »
SELDON, SELDON CORE, ALIBI and the Drop Logo are all trade marks of Seldon Technologies Limited
© 2025 Seldon Technologies. All Rights Reserved.
