Python OpenCV detects contours in an image: Contours are closed curves that connect all contiguous points of a certain color or intensity, and they represent the shape of the objects found in the image. Contour detection is a useful technique for shape analysis and object detection and recognition. In the previous tutorial we talked about…
Hill climbing is a heuristic search that is used for mathematical optimization problems in the field of artificial intelligence. Given a lot of input and good heuristics, it will try to find a good enough solution to the problem. The solution may not be the global optimal maximum. Features of mountain climbing 1. Variants of Build…
Prerequisites: K-means clustering Spectral clustering is an evolving clustering algorithm that outperforms many traditional clustering algorithms in many cases. It treats each data point as a graph node, thus transforming the clustering problem into a graph partitioning problem. A typical implementation consists of three basic steps: To build a similarity map: This step constructs a similarity map in the form…
T-distributed random neighbour embedding (t-SNE) is a nonlinear dimensionality reduction technique, which is very suitable for embedding high-dimensional data in low-dimensional spaces in 2D or 3D for visualization. What is Dimensionality Reduction? Dimensionality reduction is a technique for representing 2- or 3-dimensional n-dimensional data (multidimensional data with many characteristics). An example of dimensionality reduction can…
Leaderboard list of the best AI software with reviews and comparisons. What is AI Software? Artificial intelligence (AI) software is a computer program that mimics human behavior by learning various data patterns and insights. The main features of AI software include machine learning, speech and speech recognition, virtual assistants, and more. AI is combined with…
A voting classifier is a machine learning model that is trained on the aggregate of many models and predicts the output (class) based on its highest probability of having a selected category as an output. It simply aggregates the results of each classifier passed to the Voting Classifier and outputs the category based on the highest voting…
Which Jupyter Notebook extension is better? Data science is more than just mining and analyzing data. A good data scientist needs to be able to present data to non-technical people in a way that they can understand. Of course, this can be done in a series of PowerPoint slides. However, there are tools that are…