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 …
Author: Asma Mushtaq
Well met guys!
This is Asma Mushtaq, an Electrical Engineer and a Lecturer. I have completed Masters from UET Lahore and B.E from LCWU (Lahore College for Women University). When I say teaching is my passion then I really mean it. I have more than 10 years of teaching experience. During this tenure, I have taught many subjects: Embedded Systems Design, Microprocessor Based Systems, Electronic Devices and Circuits, Digital Logic Design, Numerical Analysis, Linear Algebra and Electromagnetic Field Theory.
I have completed my Thesis in Machine Learning and Artificial Intelligence. My area of interest is inclined towards the automation, electronics and AI.
I started the content creation two years back and now its my goal to bring out the best and provide the students from worldwide the valuable knowledge.
you can contact me via email anytime for orders and queries
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What are the Flip-Flops and Registers in Digital Circuits?
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-Introduction and Explanation
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 Naive Bayes Algorithm
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 Oriented Gradient (HOG)
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) Algorithm
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 …
Frequent Pattern Growth Algorithm
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 …
Applications of Apriori Algorithm
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 …
What is the Difference Between Machine Learning and Unlearning?
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 …
Matrices Addition, Subtraction and Multiplication in Linear Algebra
Introduction In linear algebra, matrices are rectangular arrays of numbers, and operations like addition, subtraction, and multiplication follow specific rules. Below, I’ll explain each operation clearly and concisely, assuming you’re familiar with basic matrix notation. Matrix Addition Definition: Two matrices Read More …