#machine-learning
Artificial Intelligence, or AI for short, refers to the simulation of human intelligence in machines that are programmed to think, learn and perform... Read more
Interpretability is a crucial aspect of machine learning models, as it allows us to understand how the model is making predictions. There are several... Read more
IBM has been involved in the development of artificial intelligence for decades, with significant contributions to the field through its research and... Read more
Catastrophic forgetting is a phenomenon in machine learning where a model forgets how to perform previous tasks when learning new ones, leading to a... Read more
Predictive models are widely used in data analysis, but it's important to remember that these models are inherently uncertain. No matter how... Read more
Artificial intelligence (AI) and the Internet of Things (IoT) are two of the most transformative technologies of our time. Combining these... Read more
Machine learning is a branch of artificial intelligence that enables computer systems to learn and improve from experience without being explicitly... Read more
Reinforcement learning is a type of machine learning where an algorithm learns to take actions in an environment to maximize a cumulative reward.... Read more
Bias is a critical issue in machine learning models that can lead to unfair and discriminatory outcomes. It is important to deal with this issue to... Read more
Person of Interest is a science fiction TV series that explores the potential consequences of AI and machine learning technologies. The show centers... Read more