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Introduction Power Method and Inverse Power Method for Eigen Values and Eigen Vectors. When looking for the greatest Eigen-pair, the power approach is usually used. The Inverse Power approach, on the other hand, is used to determine the smallest Eigen-pair. Read More …
Introduction to wind energy What is the wind energy? How it falls in the category of renewable energy resources? It is an important type of renewable energy. Wind energy, as solar energy, is a significant sustainable asset. Wind is really Read More …
What are the Flip-Flops and Registers in Digital Circuits? What are the flip flops and registers in digital design? Lets see each one of them in little detail. Flip Flops: In electronics, a flip-flop or latch is a circuit that Read More …
Ridge Regression Ridge Regression is a type of linear regression that adds a regularization term to the cost function to prevent overfitting, especially when predictors are highly correlated (multicollinearity). It modifies ordinary least squares by including an L2 penalty, which Read More …
Introduction to Bayes Theorem The Naive Bayes algorithm is a simple, probabilistic machine learning method used for classification tasks. It’s based on Bayes’ Theorem, which calculates the probability of an event given prior knowledge. The “naive” part comes from its Read More …
Histogram of Oriented Gradients (HOG) is a feature detection algorithm based on the image’s gradients. It is a classic approach for object detection in an image, e.g., a vehicle in the street, a pedestrian walking in the street, etc. Examples Read More …
Support Vector Machine (SVM) is a supervised machine learning (ML) technique that is used for the classification as well as for regression. It works by finding the optimal hyperplane that best separates data points of different classes with the maximum Read More …
The Frequent Pattern Growth (FP-Growth) algorithm is a highly efficient and popular algorithm for mining frequent itemsets from large transaction databases. It was proposed by Han, Pei, and Yin in 2000 as an improvement over the Apriori algorithm, primarily by Read More …
The Apriori Algorithm is a classic algorithm used in association rule mining and frequent itemset mining over transactional databases. It is particularly useful in market basket analysis, where the goal is to find relationships between items bought together. Key Concepts Read More …
Introduction to Machine Learning Machine learning must be one of the fastest growing fields in computer science. It is not only that the data is continuously getting “bigger,” but also the theory to process it and turn it into knowledge. Read More …