PinnedInGoPenAIbyAmbika·Aug 24, 2023Understanding the AdaBoost Algorithm“AdaBoost (short for Adaptive Boosting) is a machine learning algorithm that is used primarily for binary classification tasks, where the…A response icon1A response icon1
PinnedInGoPenAIbyAmbika·Aug 26, 2023Large language models (LLMs): A brief History, applications & challenges“Large language models, are a type of artificial intelligence (AI) technology designed to understand and generate human-like text. These…
PinnedInGoPenAIbyAmbika·Sep 3, 2023An Introduction to Autoencoders: Types, Applications and working“Autoencoders are a type of artificial neural network used in unsupervised machine learning and deep learning. They are primarily used for…
PinnedIn𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨byAmbika·Sep 5, 2023An Introduction to Generative Adversarial Networks (GANs)“GAN stands for Generative Adversarial Network, and it is a class of artificial intelligence algorithms used in machine learning and deep…
Ambika·Mar 5, 2024Docker for MLOps: A Quick GuideDocker is a platform that enables developers to develop, ship, and run applications within containers.A response icon1A response icon1
Ambika·Sep 30, 2023Understanding Decision Trees“A decision tree is a popular machine learning algorithm used for both classification and regression tasks. It’s a supervised learning…
In𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨byAmbika·Sep 26, 2023A Gentle Introduction to Transfer Learning“Transfer learning is a machine learning technique where a model trained on one task is adapted or fine-tuned for a second, related task…
InGoPenAIbyAmbika·Sep 22, 2023Introduction to Reinforcement Learning“Reinforcement learning (RL) is a type of machine learning paradigm that focuses on training intelligent agents to make sequential…
Ambika·Sep 18, 2023What is Computer Vision? (History, Applications, Challenges)“Computer vision is a multidisciplinary field of AI and computer science that focuses on enabling computers to interpret and understand…A response icon2A response icon2
Ambika·Sep 13, 2023Unsupervised Machine Learning Algorithms“Unsupervised learning is a type of machine learning paradigm in which an algorithm learns patterns, structures, or relationships in data…
