Computer Science

What Is a Bit Vector?

What Is a Bit Vector?

This is what a bit vector is. A bit vector is like an array of bits. So if you want to know what a bit vector is in detail and how to create and use one, then you’re in the right place. Let’s jump right in! Understand Bit Vectors You’ll learn what bit vectors are, … Read more

Computer’s Pros & Cons: Which?

Computer's Pros & Cons: Which?

Here are the pros and cons of computers. To many, computers are the greatest invention in human history. Others think computers are responsible for changing the world they knew into something they no longer understand. Let’s get started! The Pros and Cons of Computers In the current day and age, computers are everywhere. They are … Read more

Heart and Brain of a Computer: Which Parts?

Heart and Brain of a Computer: Which Parts? (And More)

Here are the heart and the brain of a computer. The CPU and GPU are the brain—the heart is the northbridge of the motherboard. So if you’re curious how a computer compares to human body, then this article is for you. Let’s get started! How a Computer Compares to the Human Body—Analogies A computer is … Read more

12 Best Computer Architecture Books?

12 Best Computer Architecture Books (Pros & Cons)

Here are the 12 best computer architecture books. Learn why each book made the list and what it is about. So if you want to know what the best computer architecture books are, then this article is for you. Let’s get started! What to Look for in a Computer Architecture Book The first thing to … Read more

Computer’s Body, Mind, and Soul: Which Parts?

Computer's Body, Mind, and Soul: Which Parts? (Simple)

Here are the body, mind, and soul of a computer. Do you think there is such a thing as a computer mind? Here’s the scoop. Let’s get started! The Body, Mind, and Soul of a Computer A computer is very much like a human body, and different parts can be compared quite easily. Several referrals … Read more

PCA vs. ICA: Difference?

PCA vs. ICA: Difference? (Coding Examples)

PCA tries to find mutually orthogonal components whereas in ICA the components may not be orthogonal. ICA searches for mutually independent components. PCA tries to maximize the variance of the input signal along with the principal components, while ICA minimizes mutual information in found components.