Author name: Tanuka Mandal

AutoML Platforms

AutoML – a new trend in data science

Automated Machine Learning, or AutoML is the process of automating end-to-end task which requires application of ML techniques to real-life problems. AutoML platforms uses this technique and run systematic processes on raw data and applies models based on the data. How AutoML works Traditional ML models involves pre-processing of data, feature engineering, feature extraction and

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no-code ml

Entering the era of No-Code or Codeless ML

Coding is a must when it comes to model deployment. Codeless ML solutions reduce entry barriers and encourages to experiment with machine learning. Over the years, tech-giants are turning open-source and developing newer tools which can integrate different types of data from multiple platforms and provide insights. Thus, requiring less or no coding at some

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deep learning

Application of Deep Learning in Medical Image Analysis

Medical Image Analysis generally refers to the technique of creating visual representations of the interior of a body. This helps to understand how tissues or organs function. It reveals internal body structures and helps medical practitioners properly diagnose diseases. Deep Learning (DL) systems like Convolutional Neural Networks (CNN) can help in presenting a hierarchical representation

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basics of kubernetes

Basics of Kubernetes – A container orchestration platform

In simple words, Kubernetes is an open source system for managing, deploying and scaling containerized applications. It was initially built by Google and later donated to CNCF (Cloud Native Computing Foundation). Kubernetes or k8s has it’s origin from Greek meaning “helmsman” or “sailing master”. Kubernetes software is an orchestration layer that can manage many server

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