Artificial Intelligence Explained In Simple Words | What Is AI? | Explained On A Real World Example!

AI For Beginners · Beginner ·📐 ML Fundamentals ·2y ago

Key Takeaways

Explains artificial intelligence in simple terms, using a real-world example of house price prediction to illustrate how a simple AI algorithm works

Original Description

#aiexplained #ai #artificialintelligence #machinelearning #easy #realworld 🔥 Artificial Intelligence explained in simple words on a real world example! By going through the example of house price prediction, the video aims to explain how a simple AI house price prediction algorithm works. By comparing the intelligence of humans with AI, we assess how closely human intelligence stands to the mathematical algorithms in this context. Some details and points are abstract and not detailed. If you want to know more about how AI works, subscribe to our channel since we are going to explain all the basics in easy-to-understand manner! 🔍 Key points covered: 0:00 - Introduction to the problem. 0:11 - Why are brokers that good? 0:22 - Criteria for comparison (Role of features). 0:32 - The role of Statistics. 0:48 - What are AI models? 0:56 - AI for house price prediction. 1:38 - Subscribe to us! 🔔 Don't forget to like, subscribe, and hit the bell icon to stay updated with our latest videos! 🤖 We break down complex AI concepts into easy-to-understand videos, perfect for beginners and enthusiasts alike. Whether you're curious about machine learning, neural networks, or the future of AI, you'll find engaging and informative content here. 📚 Note that we use synthetic generations, such as AI-generated images and voices, to enhance the appeal and engagement of our content. 🌐 If you have any questions or topics you want us to cover, leave a comment below. Additionally, share with your thoughts about the content, how do you think we can make them better? Thanks for watching!
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from AI For Beginners · AI For Beginners · 1 of 32

← Previous Next →
Artificial Intelligence Explained In Simple Words | What Is AI? | Explained On A Real World Example!
Artificial Intelligence Explained In Simple Words | What Is AI? | Explained On A Real World Example!
AI For Beginners
2 AI vs. ML vs. DL vs. DS - Difference Explained | On Real World Examples | AI For Beginners
AI vs. ML vs. DL vs. DS - Difference Explained | On Real World Examples | AI For Beginners
AI For Beginners
3 Types Of Machine Learning Algorithms | Explained On Real World Examples | ML For Beginners
Types Of Machine Learning Algorithms | Explained On Real World Examples | ML For Beginners
AI For Beginners
4 Best AI Music Generator | Music Generation Tool for FREE | MusicGen developed by Meta AI
Best AI Music Generator | Music Generation Tool for FREE | MusicGen developed by Meta AI
AI For Beginners
5 The Ultimate Guide To Supervised Learning | Explained On Binary Classification Example | Part 1
The Ultimate Guide To Supervised Learning | Explained On Binary Classification Example | Part 1
AI For Beginners
6 The Ultimate Guide To Supervised Learning | Classification And Regression | Part 2
The Ultimate Guide To Supervised Learning | Classification And Regression | Part 2
AI For Beginners
7 Linear Regression Explained | A Beginner's Guide To Regression | The Basics You Need to Know!
Linear Regression Explained | A Beginner's Guide To Regression | The Basics You Need to Know!
AI For Beginners
8 Assumptions Of Linear Regression | What To Do If The Assumptions Do Not Hold? | Part 1
Assumptions Of Linear Regression | What To Do If The Assumptions Do Not Hold? | Part 1
AI For Beginners
9 Checking The Assumptions Of Linear Regression | Statistical And Visual Methods | Part 2
Checking The Assumptions Of Linear Regression | Statistical And Visual Methods | Part 2
AI For Beginners
10 The Purpose of Train-Test Split in Machine Learning | How to Correctly Split Data?
The Purpose of Train-Test Split in Machine Learning | How to Correctly Split Data?
AI For Beginners
11 The Role of Validation Sets in Model Training | Train-Test-Validation Splits | Clearly explained!
The Role of Validation Sets in Model Training | Train-Test-Validation Splits | Clearly explained!
AI For Beginners
12 Overfitting and Underfitting | Bias and Variance Tradeoff in Machine Learning | Clearly Explained!
Overfitting and Underfitting | Bias and Variance Tradeoff in Machine Learning | Clearly Explained!
AI For Beginners
13 Gradient Descent Explained | How Do ML and DL Models Learn? | Simple Explanation!
Gradient Descent Explained | How Do ML and DL Models Learn? | Simple Explanation!
AI For Beginners
14 Main Types of Gradient Descent | Batch, Stochastic and Mini-Batch Explained! | Which One to Choose?
Main Types of Gradient Descent | Batch, Stochastic and Mini-Batch Explained! | Which One to Choose?
AI For Beginners
15 The Role of Loss Functions | Most Common Loss Functions in Machine Learning | Explained!
The Role of Loss Functions | Most Common Loss Functions in Machine Learning | Explained!
AI For Beginners
16 How to Evaluate Your ML Models Effectively? | Evaluation Metrics in Machine Learning!
How to Evaluate Your ML Models Effectively? | Evaluation Metrics in Machine Learning!
AI For Beginners
17 8 Best Tips For Cleaning Your Data | Data Cleaning | Machine Learning, Data Preparation.
8 Best Tips For Cleaning Your Data | Data Cleaning | Machine Learning, Data Preparation.
AI For Beginners
18 Numerical vs. Categorical Data | Represent Your Dataset Correctly!
Numerical vs. Categorical Data | Represent Your Dataset Correctly!
AI For Beginners
19 3 Main Types of Missing Data | Do THIS Before Handling Missing Values!
3 Main Types of Missing Data | Do THIS Before Handling Missing Values!
AI For Beginners
20 7 PROVEN Strategies To Become An AI Engineer (2025 Updated)
7 PROVEN Strategies To Become An AI Engineer (2025 Updated)
AI For Beginners
21 Easiest Guide to K-Fold Cross Validation | Explained in 2 Minutes!
Easiest Guide to K-Fold Cross Validation | Explained in 2 Minutes!
AI For Beginners
22 Normalization and Standardization | Why to Scale the Features? | ML Basics
Normalization and Standardization | Why to Scale the Features? | ML Basics
AI For Beginners
23 The Ultimate Guide to Hyperparameter Tuning | Grid Search vs. Randomized Search
The Ultimate Guide to Hyperparameter Tuning | Grid Search vs. Randomized Search
AI For Beginners
24 How is Artificial Intelligence different from Traditional Programming?
How is Artificial Intelligence different from Traditional Programming?
AI For Beginners
25 All Machine Learning Models Clearly Explained!
All Machine Learning Models Clearly Explained!
AI For Beginners
26 6 Mistakes to Avoid When Learning Machine Learning in 2025
6 Mistakes to Avoid When Learning Machine Learning in 2025
AI For Beginners
27 Best Practices for Effective Data Visualization In Machine Learning!
Best Practices for Effective Data Visualization In Machine Learning!
AI For Beginners
28 Central Limit Theorem Intuition Explained Like You're 5!
Central Limit Theorem Intuition Explained Like You're 5!
AI For Beginners
29 Which Door Would You Choose? | Monty Hall Problem Explained!
Which Door Would You Choose? | Monty Hall Problem Explained!
AI For Beginners
30 All Machine Learning Concepts Explained in 18 Minutes!
All Machine Learning Concepts Explained in 18 Minutes!
AI For Beginners
31 What’s the Probability That Two Randomly Drawn Chords in a Circle Intersect?
What’s the Probability That Two Randomly Drawn Chords in a Circle Intersect?
AI For Beginners
32 Causation vs Correlation | The Most Confused Concept in Data Science
Causation vs Correlation | The Most Confused Concept in Data Science
AI For Beginners

Related Reads

📰
I Built an AI System That Does in 30 Seconds What Takes a Human 10 Minutes; Here’s What Nobody…
Learn how to bridge the gap between AI demo and deployment, a common pitfall for many AI projects
Medium · Machine Learning
📰
What Is MLIR and Why Does It Exist?
Learn about MLIR, a intermediate representation for machine learning models, and its purpose in optimizing ML workflows
Dev.to · Fedor Nikolaev
📰
Why Choosing the Right Machine Learning Development Company Matters More Than the AI Model
Choosing the right machine learning development company is crucial for turning AI investments into measurable results, as it can make or break the success of AI projects
Medium · Machine Learning
📰
Data privacy in AI training: federated learning, differential privacy, and synthetic data
Learn how federated learning, differential privacy, and synthetic data preserve data privacy in AI training, and why they matter for secure machine learning
Dev.to AI

Chapters (7)

Introduction to the problem.
0:11 Why are brokers that good?
0:22 Criteria for comparison (Role of features).
0:32 The role of Statistics.
0:48 What are AI models?
0:56 AI for house price prediction.
1:38 Subscribe to us!
Up next
Is Python Dead in 2026?| Truth About Python in AI Era | 90 Days Roadmap @FameWorldEducationalHub
FAME WORLD EDUCATIONAL HUB
Watch →