Machine Learning For Computer Vision

  “Computers can see, hear and learn”   Sounds unreal, No? The answer is MACHINE LEARNING and COMPUTER VISION. Machine Learning has received increased attention in recent years and it’s getting ubiquitous as its applications range from self-driving cars to predicting deadly diseases such as ALS. ML is the red hot study that enables the computer to learn without being programmed precisely. The foremost aim is getting Machines to solve problems by gaining the ability to think and improve with experience…After reading this, one thing must have popped in your head ‘How is it done!’ DATA and Algorithms, this is… Read More

Version Control for ML Models

What is Version Control? Version Control Systems are a classification of programming instruments that help a product team manage changes to source code over time. Version Control Systems monitor each alteration to the code in a unique sort of database. If a mix-up is made, engineers can compare earlier versions of the code to fix the slip-up while limiting disruption to all other colleagues working on the same project. For any project, the source code is the most important asset, as it is an archive of the priceless information and comprehension about the problem domain that the engineers have gathered… Read More

A Walkthrough of the Machine Learning Life Cycle

Do you have a project idea but you don’t know where to start? Or maybe you have a dataset and want to build a machine learning model, but you’re not sure how to approach it? In this article, I’m going to talk about a conceptual framework that you can use to approach any machine learning project. This framework is inspired by the theoretical framework and is very similar to all of the variations of the machine learning life cycle that you may see online. So why is a framework important? A framework in machine learning is important for a number of reasons: It creates a standardized… Read More