Start-ups need to test hypotheses quickly. However, to launch an MVP, infrastructure, and development tools are required. It is possible to run on your infrastructure,
Category: MACHINE LEARNING
MLOps: How It Helps Optimize Machine Learning Processes And Save Money
One of the main reasons is a gap between the processes that data scientists and developers are responsible for. The former is focused on iteration
Experts About AutoML: In Detail About Tools, Specialists, And Perspectives
Machine learning (ML) is called the most promising area of ​​​​AI. The ML market is projected to be $39.98 billion by 2025. But ML is
Companies Lack Internal Resources To implement AI / ML successfully
Rackspace has published the results of a study of the state of AI / ML projects in companies. We share the most exciting findings Only
Different Types Of Algorithms In Machine Learning
Neural Networks What is it? The royal algorithm among all machine learning algorithms. Suitable for prediction, recognition, and classification. Also, this algorithm can generate content
MLflow In The Cloud. A Quick And Easy Way To Bring ML Models Into Production
MLflow is one of the most stable and lightweight tools for enabling Data Scientists to manage the lifecycle of machine learning models. It is a
What Are Machine Learning And Neural Networks?
What Is It? Conventional computers are good at calculating, but they are poor at some easy tasks for humans. For example, recall the example above:
How And Why “Auchan” Built A Platform For Working With Big Data In A Public Cloud
Modern retail can no longer do without building predictive and recommendation systems based on Big Data.But with large amounts of data, such as at Auchan,
