Calin SanduHyperparameter Tuning: Best PracticesHyperparameter tuning is a crucial step in the process of training machine learning models. Unlike model parameters, which are learned…Sep 20Sep 20
Calin SanduHow Does ChatGPT Work?ChatGPT is a remarkable achievement in the field of artificial intelligence, developed by OpenAI. It represents one of the most advanced…Sep 2Sep 2
Calin SanduModel DeploymentModel deployment in machine learning marks the culmination of extensive research, experimentation, and validation phases. It involves…Aug 30Aug 30
Calin SanduMarkov Decision Processes (MDPs)Markov Decision Processes (MDPs) are mathematical frameworks used to model decision-making in environments where outcomes are partly random…Aug 16Aug 16
Calin SanduExplainable AI (XAI)Explainable AI (XAI) is a branch of artificial intelligence that focuses on making the decision-making processes of AI systems more…Aug 11Aug 11
Calin SanduDisease Prediction from Medical DataIn this project, we’ll walk you through building a neural network model to predict the appropriate medication for patients based on their…Jul 14Jul 14
Calin SanduFederated LearningFederated learning is an innovative approach to machine learning where a model is trained across multiple decentralized devices or servers…Jul 6Jul 6
Calin SanduSequence-to-Sequence ModelsSequence-to-sequence (Seq2Seq) models are a type of neural network architecture commonly used in natural language processing (NLP) and…Jun 18Jun 18
Calin SanduMethods to Improve Accuracy EvaluationIn machine learning, accuracy is a commonly used evaluation metric to assess the performance of classification models. While it’s a simple…Jun 9Jun 9
Calin SanduAttention MechanismAn attention mechanism is a key component in artificial neural networks, particularly in sequence modeling and natural language processing…Jun 8Jun 8
