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Implementing AI based models and Flask app to detect COVID-19 in Chest X-rays and CT Scans using four Deep Learning Algorithms: VGG16, ResNet50.
Hey guys, In this blog we will see how we can install Tensorflow with CUDA and cuDNN. This process can be really tricky and frustrating if you are doing it for the very first time. So without any further due, let’s do it… Step 1 — Decide versions for...
Introduction Natural Language Processing (NLP) is the interdisciplinary field of Computer Science, Artificial Intelligence, and Linguistics, concerned with the ability of computers to understand human language. Word Embeddings is an advancement in NL...
An outline of ideas and equations for word embeddings
Classification metric in supervised learning
Should I learn now… or later? Learning is a universal skill/trait that is acquired by any living organism on this planet. Learning is defined by: the acquisition of knowledge or skills through experience, study, or by being taught.Whether that be a p...
A critical phase in machine learning practice is hyperparameter tuning(HP). The performance of ML algorithms’ prediction can be significantly impacted by HP tuning. An ML algorithm’s HPs are often configured through a process of trial and error. It c...
Hey again! we’ll start learning about Machine Learning algorithms. And in this blog, we will be talking about one of the commonly used classification algorithms, KNN algorithm. K-Nearest Neighbors is one of the easiest to understand, yet very import...
Random Forest is a classifier consisting of a set of tree-structured classifiers with identically distributed independent random vectors and each tree casting a unit vote at input x for the most popular class. A random vector that is independent of t...
