Measure Of Dispersion
A measure of dispersion tells us how spread out or scattered the data is. It shows how much the…
Standard Deviation
Standard deviation measures how spread out the numbers are in a dataset. Low standard deviation → The numbers are…
Modeling With Equations
Modeling with equations is essential for both math and machine learning, as it helps you translate real-world problems into…
Equations
Understanding Equations in Simple Terms An equation is like a balance scale ⚖️. It shows that two things are…
Rational Expressions
A rational expression is just like a fraction, but instead of just numbers in the numerator and denominator, there…
Algebraic Expressions
An algebraic expression is like a mathematical recipe that tells you how numbers and letters (variables) are combined using…
Enjoying the Process Of Becoming Ml Engineer
When ever I solve any problem of Math, It gives peace to my soul. I am really enjoying the…
Exponents
Exponents are a way of writing repeated multiplication in a short form. Instead of writing the same number multiple…
Real numbers
Real numbers are just numbers that can be found on the number line. They include: Basically, real numbers include…
The Greatest Engineers of All Time and Lessons from Their Lives
Engineering has shaped the world we live in, from the smallest electronic circuits to the largest bridges and space…
Functions
Think of a function as a machine that takes something in, does some work on it, and then gives…
Unsupervised Learning, Recommenders, Reinforcement Learning Certification
I’m happy to share that I’ve obtained a new certification: Unsupervised Learning, Recommenders, Reinforcement Learning from https://t.co/SfcwdHFb86!#MachineLearning #AI #ReinforcementLearning…
Game based on Reinforcement Learning
Game based on Reinforcement Learning Algorithm#ReinforcementLearning #AI #Zulqai pic.twitter.com/JJMvaIKSIq — Zulqarnain Jabbar (@Zulq_ai) March 6, 2025
Markov Decision Process (MDP)
Imagine you are playing a video game where you control a character moving through different rooms, collecting coins, and…
Exploration vs. Exploitation in Reinforcement Learning (RL)
Reinforcement Learning (RL) agents must balance two opposing strategies when making decisions: Analogy: Choosing a Restaurant 🍔 vs 🍕…
Continous State Applications
A continuous state application means that the state of a system can take any value within a range, instead…
random (stochastic) environment
A stochastic (random) environment is one where your actions don’t always lead to the same outcome, even if you…
Machine Learning Roadmap With Courses
I am becoming a machine learning engineer, and I have created a roadmap for beginners like you to become…
delta and epsilon in layman terms
Delta (Δ) → Change or Difference Epsilon (ε) → Tiny Margin of Error#machinelearning #ArtificialInteligence #zulqai — Zulqarnain Jabbar (@Zulq_ai)…
Limits In Layman Terms
Imagine you are walking towards a wall. Every step you take, you cover half the remaining distance: Even though…
Feature Scalling
Feature scaling is like making everything fit in the same range so that no feature dominates the others.#machinelearning #ai…
collaborative filtering
Loading data for collaborative filtering? Exclude unnecessary columns (user ID, movie ID, etc.)Define feature counts for users & moviesSet…
Lifelong Learning
Lifelong learning surpasses your formal school degree. — Zulqarnain Jabbar (@Zulq_ai) February 4, 2025
Data Is Precious Than Gold Nowadays
Data is more Precious than Gold nowadays. — Zulqarnain Jabbar (@Zulq_ai) February 3, 2025
Advanced Learning Algorithms Certification From Deeplearning.AI
I’m excited to share a significant milestone in my journey toward becoming a machine learning engineer! I recently completed…
Accuracy and Percision
Accuracy is about overall correctness.Precision is about the reliability of positive predictions. — Zulqarnain Jabbar (@Zulq_ai) January 15, 2025…
image compression using K-means clustering
To deeply understand the concept of image compression using K-means clustering, let’s break it down into its core elements,…
Steps For Building End To End Machine Learning Projects
Steps for building end_to_end ML Projects: 1. Data Cleaning2. EDA3. Text Preprocessing4. Model Building5. Evaluation6. Improvements7. Website conversion8. Deployment#zulqai…
Porter Stemmer
The Porter Stemmer is a text-processing tool that reduces words to their “stem” or root form. It is part…
Few people truly pursue what they love to do
Few people truly pursue what they love to do. — Zulqarnain Jabbar (@Zulq_ai) January 9, 2025 In the fast-evolving…
What is Hypothesis In Machine Learning
In machine learning and statistics, a hypothesis is essentially a proposed model or function that tries to explain the…
Hyperparameters
Hyperparameters are settings or configurations that you choose before training a machine learning or deep learning model. These parameters…
What Does Relu Activation Do In Machine learning
The ReLU activation function (Rectified Linear Unit) is one of the most commonly used activation functions in machine learning,…
Types Of Layers In Machine Learning
Imagine recognizing a face in a photo: Conv2D: Detects edges of the nose, eyes, and mouth. MaxPooling2D: Keeps the…
Numbers Are Everywhere
No's Are Everywhere Neural Networks Just See No's In The Images — Zulqarnain Jabbar (@Zulq_ai) January 4, 2025
why normal distribution is important in data science?
The normal distribution, also known as the Gaussian distribution, is a type of probability distribution that is symmetric and…
What is entropy in machine learning (Simple Words)
In simple words, entropy in machine learning is a measure of uncertainty or randomness in data. It tells us…
Why We Use Bias And Variance In Machine Learning?
Bias and Variance are concepts used to describe the performance of machine learning models and to understand how well…
Training Set, Cross Validation Set & Test Set
Training set: Used to train the model. Validation (CV) set: Used to tune model hyperparameters (e.g., complexity, regularization). Test…
Data Synthesis in Machine Learning
In today’s data-driven world, machine learning models thrive on large, diverse, and high-quality datasets. However, obtaining such datasets is…
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