Published inTowards AIHow to Monitor a Computer Vision Model in Production?One of the unfortunate properties of computer vision models is that performance deteriorates with time, leading to less reliable results…Jan 28Jan 28
Published inTowards Data ScienceThe Difficulties of Monitoring Machine Learning Models in ProductionBeing a data scientist may sound like a simple job — prepare data, train a model, and deploy it in production. However, the reality is far…Mar 14, 2023Mar 14, 2023
Published inNannyML3 Common Causes of ML Model Failure in ProductionGetting an ML model into production is a hard nut to crack. According to Chris Chapo, SVP of Data and Analytics at Gap, 87% of the models…Jan 23, 2023Jan 23, 2023
Published inNannyMLFailure Is Not an Option: How to Prevent Your ML Model From Degradation — NannyMLReliance on Machine Learning models is growing. Business decisions in banking, insurance, or real-estate organizations are driven by…Jan 12, 2023Jan 12, 2023
Published inTowards Data ScienceOverfitting in Deep Learning: What Is It and How to Combat It?The recent success of Deep Learning is based on enormous networks with millions of parameters and big data. This simple recipe…Oct 18, 2022Oct 18, 2022
Published inTowards Data ScienceData Augmentations in TorchvisionThis blog aims to compare and familiarise with different data transformations techniques used by the research communityMay 17, 2022May 17, 2022
Published inNerd For TechOverview of Normalization Techniques in Deep LearningA simple guide to an understanding of different normalization methods in Deep Learning.Apr 23, 2022Apr 23, 2022
Published inNerd For TechHow to initialize weights in Neural Network?An intuitive and straightforward tutorial about the three most popular weight initialization methods helps you pick the right one for your…Apr 6, 2022Apr 6, 2022
Published inNerd For TechOptimizers in Machine LearningThe optimizer is a crucial element in the learning process of the ML model. PyTorch itself has 13 optimizers, making it challenging and…Mar 26, 2022Mar 26, 2022
