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…
Functions
Think of a function as a machine that takes something in, does some work on it, and then gives…
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…
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…
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…
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…
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…
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…
Applications Of Algebra In Machine Learning
Algebra plays a critical role in machine learning as it forms the foundation for many mathematical operations and concepts…
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