What is artificial intelligence? Artificial intelligence (AI) is a field of computer science and technology that focuses on creating machines, systems, or software programs capable of performing tasks that typically require human intelligence. These tasks include reasoning, problem solving, learning, perception, understanding natural language, and making decisions. AI systems are designed to simulate or replicate human cognitive functions and adapt to new information and situations. A brief history of artificial intelligence Artificial intelligence has been around for decades. In the 1950s, a computer scientist built Theseus, a remote-controlled mouse that could navigate a maze and remember the path it took.1 AI capabilities grew slowly at first. But advances in computer speed and cloud computing and the availability of large data sets led to rapid advances in the field of artificial intelligence. Now, anyone can access programs like ChatGPT, which is capable of having text-based conve
Feature extraction in AI refers to the process of deriving new features from existing features in a dataset to capture more meaningful information. It aims to reduce the dimensionality of the data, remove redundant or irrelevant features, and create new features that are more informative for the task at hand. Feature extraction is commonly used in machine learning to improve the performance of models and reduce overfitting. Uses of Feature Extraction 1. Dimensionality Reduction Feature extraction is used to reduce the number of features in a dataset while retaining as much relevant information as possible. This helps reduce the computational complexity of models and can improve their performance. Examples include: - Using Principal Component Analysis (PCA) to reduce the dimensionality of high-dimensional datasets. - Using t-Distributed Stochastic Neighbor Embedding (t-SNE) for visualizing high-dimensional data in lower dimensions. 2. Improving Model Performance Feature extractio