What is a Firewall?
A firewall is a tool that protects your computer or network by blocking unwanted traffic and letting the good stuff through. It works like a digital security guard, watching over…
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What is a Man-in-the-Middle (MitM) Attack?
A Man-in-the-Middle (MitM) attack is when a hacker secretly slips into the communication between two parties—like you and a website—without either of you knowing. The attacker can listen to, change,…
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What is a VPN (Virtual Private Network)?
A VPN, or Virtual Private Network, is a tool that keeps your internet activity private and secure. It creates a protected tunnel between your device and the internet. This tunnel…
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What is Threat Intelligence?
Threat intelligence is information that helps you understand and prepare for cyber threats. It tells you who might attack, how they plan to do it, and what you can do…
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What is Multi-Factor Authentication (MFA)?
Multi-Factor Authentication (MFA) is a security method that requires more than just a password to access an account. It combines two or more ways to verify your identity. This could…
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What is a ROC Curve?
A ROC curve, short for Receiver Operating Characteristic curve, is a graph that shows how well your binary classification model performs across different decision thresholds. It plots the True Positive…
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What is Bias-Variance Tradeoff?
The bias-variance tradeoff explains why machine learning models struggle to get everything right. When you make a model too simple, it makes large mistakes because it can’t capture the full…
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What is Synthetic Data?
Synthetic data is artificially generated data that mimics real-world data without using any actual personal or sensitive information. It’s created using algorithms or models that learn from real datasets and…
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What is a Confusion Matrix?
A confusion matrix is a simple table that helps you understand how well a classification model is performing. It compares what your model predicted with the actual labels from your…
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What is Hyperparameter Tuning?
Hyperparameter tuning is the process of finding the best settings for your machine learning model to make it perform better. It helps you choose the right values for things like…
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