Mr. AI Engineer

Matrix inversion is a fundamental operation in linear algebra and shows up in many areas: solving linear systems, change of coordinates, control systems, optimization, computer graphics, and more. If you’ve ever solved a linear system  A x = b  and written the formal solution  x = A − 1 b , you used the idea of an inverse matrix — the “undo” for a linear transformation.

Matrix multiplication is one of the most fundamental operations in  linear algebra  and appears everywhere in data science, machine learning, computer graphics, physics, and engineering. Whether you are building neural networks, solving systems of linear equations, or transforming coordinates in a graphics pipeline — matrix multiplication sits at the center.

 Hi Guys!, Below is an in-depth Data Science Roadmap for 2026 , designed to guide you from beginner to advanced proficiency over a 12-month period. This comprehensive plan accounts for the evolving landscape of data science, incorporating foundational skills, advanced techniques, emerging trends, and practical experience tailored to 2026 industry demands. The roadmap assumes a beginner to intermediate starting point and emphasizes hands-on projects, modern tools, and job readiness. It includes detailed learning objectives, tools, resources, weekly schedules, and milestones, with flexibility for customization based on your pace or prior knowledge.

Hi Guys in this blog we will learn about Matrix Multiplication in Python with NumPy, PyTorch & TensorFlow . Learn matrix multiplication from first principles and implement it in Python using NumPy, PyTorch and TensorFlow. This in-depth, SEO-friendly guide includes a clear introduction, table of contents, and detailed line-by-line explanations of every code snippet so you can copy, run, and understand each implementation.

Clearing a list is a routine task in Python—whether you’re resetting state between iterations, reusing a list to avoid new allocations, or preventing memory from being held longer than needed. There are multiple ways to empty a list in Python, and each method behaves a little differently with respect to in-place mutation , references/aliasing , readability , and Python version support .

Linear Algebra forms the backbone of numerous applications in mathematics, physics, computer science, and artificial intelligence. From solving systems of equations to training deep learning models, linear algebra is everywhere. Among its many fundamental concepts, Symmetric Matrices and Identity Matrices play a particularly important role.

The Frobenius Norm (sometimes misspelled as Forbenius Norm ) is one of the most commonly used norms in linear algebra. It provides a simple yet powerful way to measure the overall “energy” or “magnitude” of a matrix by summing up the squares of all its entries. Think of it as the matrix version of the Euclidean norm for vectors.

In this blog post, we will cover  5 different Python programs  to swap two elements in a list of 10 integers. Each program will be explained in detail with code, step-by-step execution, and outputs. By the end of this article, you will know not just one but five different approaches to swapping elements in Python lists.

Hi Guys, In this blog post, we will cover  5 different Python programs  to interchange the first and last elements of a list. Each method is explained in detail with examples, flowcharts, and diagrams. Python is one of the most popular programming languages today because of its simplicity, readability, and powerful built-in features. When learning Python, beginners often start by practicing basic problems such as swapping variables, reversing a list, or finding maximum and minimum values. One such classic beginner-level problem is: 👉 How do you interchange the first and last elements of a list in Python? Although this task may look simple, there are actually several different ways to solve it. Exploring multiple solutions helps you understand Python’s features better, from basic indexing to advanced list operations.

Hi Guys! Welcome to the new blog  Reference Counting in Python . Memory management is a crucial aspect of programming, especially in a high-level language like Python. Unlike lower-level languages where developers manually allocate and deallocate memory, Python uses automatic memory management through techniques like  garbage collection (GC) . One of the primary mechanisms Python employs for efficient memory management is  reference counting .

Hi Guys! Welcome to the new blog Variables as Memory References in Python: A Deep Dive . In this blog, we will explore how Python variables act as memory references, how the  id()  function helps track object locations, and why immutable and mutable data types behave differently in memory. By the end, you'll have a clear understanding of Python’s memory management and how it impacts variable assignment, object mutability, and performance optimization. Whether you’re a beginner or an experienced Python programmer, mastering this concept will help you write more efficient and bug-free code. When working with Python, many beginners assume that variables directly store values like numbers or strings. However, in reality,  Python variables are just references to memory locations where data is stored . Unlike languages that deal with direct memory allocation, Python manages variables dynamically, optimizing memory usage and performance. Topics Covered in This Blog Understanding...

Hi Guys Welcome to the new blog Image Transformation Techniques in OpenCV for Image Processing and Computer Vision. In this blog, we will explore the  most essential image transformation techniques in OpenCV , explaining their functionality, real-world applications, and practical implementation with Python code examples. Whether you're a  beginner in image processing or an AI developer looking to refine your skills , this guide will help you understand how to apply transformations effectively to achieve better results in computer vision projects.

Hi Guys! In this blog, we will explore the fundamentals of  D rawing functions in OpenCV , including how to create  lines, rectangles, circles, polygons, and text  on images. With step-by-step explanations and practical examples, you'll learn how to  customize colors, thickness, and positioning  to create visually appealing graphics.

Hi Guys welcome to our new blog  RMBG-2.0 for Background Removal App – The Ultimate AI-Powered Solution . In digital content creation,  background removal  has become an essential task for designers, photographers, and developers. Whether you're working on  e-commerce product images, social media content, or graphic design , having a  fast, efficient, and high-quality  background removal tool is a game-changer. This is where  RMBG-2.0  comes into play.

Hi Guys! welcome to new blog, and In this blog we will talk about  Color Spaces  in image processing and computer vision, a  color space  is a specific way of representing colors using numerical values. Different color spaces are used for different purposes, such as  displaying images, processing colors, and detecting objects .

Hi Guys! Welcome to the PART-2 of Getting Started with OpenCV -  Working with Grayscale Images using OpenCV and Python3 . In this step by step tutorial we are going to learn about What are grayscale images ? How to convert image from RGB to Grayscale ? How to do the depth analysis of an image ? What are Grayscale Images in Image Processing ? A Grayscale Image is a 1D image whose every pixel represents a single color plane, which is know as gray. Gray color plane is a single intensity value plane. It is very different from RGB color plane which has 3 color planes Red(R - 0 -> 255) , Green(G - 0 -> 255) and Blue(B - 0 -> 255) but in Grayscale images has only one color plane which is gray and intensity values goes from 0(Black) to 255(White) and the values lies in between has different shades of gray. 1. How Grayscale Images Work Each pixel in a grayscale image holds a  single value  that defines the brightness. The range of values depends on the bit-depth: 8-bit ...

Hi Guys, Welcome! to step by step tutorial of  Getting Started with OpenCV - Image Loading, Displaying, Saving and Dimensions . OpenCV is the most popular and open source python library in the field of image processing and Computer Vision. From a very long time I was thinking about to start a blog series about OpenCV, Image processing and Computer Vision and finally I am starting this series of OpenCV blogs with this first blog  Getting Started with OpenCV . So, In this very first tutorial we will start with OpenCV and image processing basics. We are going to learn:

Hi Guys! Welcome to the new blog. While working with OpenCV and Jupyter Notebook, have you came across with this thought that what if you will able to display your live webcam feed in a Jupyter notebook. Usually what happens is whenever you tries to run any computer vision program which requires live webcam feed. It opens in the separate window and I don't like this separate webcam window. So, I decided to write a simple python program which will help to display your live webcam feed in a Jupyter notebook using OpenCV and Python3.

Hi Guys let's start with our new blog. Alright, so you're working on a Python project, and you need to install a bunch of packages. But wait—how do you keep track of all of them? Do you write them down on a sticky note? Nah, that's too messy. That's where the  requirements.txt  file comes in! It helps you list all the necessary dependencies so you (or anyone else) can install them quickly and painlessly.

Ultralytics, the computer vision company which the responsible for the develoment of Yolo object detection models, hs recently lanched the Yolov12 series of object detection models and we are going to try these model. So, In this step by step tutorial we are going to to develop a  Web App for the Object Detection using Yolov12, OpenCV and Gradio Framework  and check the performace of Yolov12.