MACHINE LEARNING

3 Main Challenges For Start-ups: How Clouds Help Solve Them

Start-ups need to test hypotheses quickly. However, to launch an MVP, infrastructure, and development tools are required. It is possible…

1 year ago

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…

2 years ago

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…

2 years ago

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…

3 years ago

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,…

3 years ago

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…

3 years ago

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…

3 years ago

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…

3 years ago