"We present a systematic review of some of the popular machine learning based email spam filtering approaches."
"Our review covers survey of the important concepts, attempts, efficiency, and the research trend in spam filtering."
"Our review covers survey of the important concepts, attempts, efficiency, and the research trend in spam filtering."
An illustrated and intuitive guide on the inner workings of an LSTM, which are an improvement on Recurrent Neural Networks (RNNs) that struggle with retaining information over long distances.
This article explores some of the mysteries and unsolved phenomena in machine learning, focusing on concepts like Batch Normalization, overparameterized models, and the implicit regularization effects of gradient descent.
An explanation of the backpropagation through time algorithm and how it helps Recurrent Neural Networks (RNNs) learn from sequence-based data
An article discussing the importance of explainability in machine learning and the challenges posed by neural networks. It highlights the difficulties in understanding the decision-making process of complex models and the need for more transparency in AI development.
An article discussing the concept of monosemanticity in LLMs (Language Learning Models) and how Anthropic is working on making them more controllable and safer through prompt and activation engineering.
A deep dive into the theory and applications of diffusion models, focusing on image generation and other tasks, with examples and PyTorch code.
An article discussing the use of Deep Q-Networks (DQNs) in reinforcement learning, which combines the principles of Q-Learning with function approximation capabilities of neural networks to address limitations of traditional Q-learning such as scalability issues and inability to handle continuous state and action spaces.
This article explains the concept of abstraction in neural networks and its connection to generalization. It also discusses how different components in neural networks contribute to abstraction and reveals an interesting duality between abstraction and generalization.
Stay informed about the latest artificial intelligence (AI) terminology with this comprehensive glossary. From algorithm and AI ethics to generative AI and overfitting, learn the essential AI terms that will help you sound smart over drinks or impress in a job interview.
