PinnedAmbikainGoPenAIUnderstanding the AdaBoost Algorithm“AdaBoost (short for Adaptive Boosting) is a machine learning algorithm that is used primarily for binary classification tasks, where the…Aug 24, 20231Aug 24, 20231
PinnedAmbikainGoPenAILarge 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…Aug 26, 2023Aug 26, 2023
PinnedAmbikainGoPenAIAn 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…Sep 3, 2023Sep 3, 2023
PinnedAmbikain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨An 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…Sep 5, 2023Sep 5, 2023
AmbikaDocker for MLOps: A Quick GuideDocker is a platform that enables developers to develop, ship, and run applications within containers.Mar 5Mar 5
AmbikaUnderstanding Decision Trees“A decision tree is a popular machine learning algorithm used for both classification and regression tasks. It’s a supervised learning…Sep 30, 2023Sep 30, 2023
Ambikain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨A 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…Sep 26, 2023Sep 26, 2023
AmbikainGoPenAIIntroduction to Reinforcement Learning“Reinforcement learning (RL) is a type of machine learning paradigm that focuses on training intelligent agents to make sequential…Sep 22, 2023Sep 22, 2023
AmbikaWhat 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…Sep 18, 2023Sep 18, 2023
AmbikaUnsupervised Machine Learning Algorithms“Unsupervised learning is a type of machine learning paradigm in which an algorithm learns patterns, structures, or relationships in data…Sep 13, 2023Sep 13, 2023
