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From AI Theory to Real Robots: A Practical Learning Path for Building Physical AI Products
Many learners start their AI journey with courses like CS50 AI or books such as Artificial Intelligence: A Modern Approach. These are excellent for understanding how AI works in software. But when you look at real AI products—robots, drones, smart devices—you realize they live in the physical world. So how do you go from: ✅…
Does AI Only Reuse Existing Knowledge — Or Can It Create Something New?
A thoughtful look at one of the most common arguments used to downplay artificial intelligence. Introduction One of the most frequent remarks about artificial intelligence is: “AI doesn’t create anything new. It only uses existing knowledge.” You’ll often hear this from people who are skeptical about AI’s impact on creativity, science, and innovation. But is…
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Learning Path: Mastering Search Algorithms for CS50 AI (Lecture 0)
https://www.reddit.com/r/ArtificialInteligence/comments/1r57vhb/text_booktutorial_that_covers_search/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button If you are studying CS50’s Introduction to Artificial Intelligence with Python (Lecture 0: Search) and want a strong foundation first, this structured learning path will guide you step-by-step—from intuition to implementation. This post is designed for self-learners, beginners, and developers who want to understand search deeply, not just memorize code. ߎ Why Learn Search…
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- Last Updated on February 14, 2026 by Rajeev Bagra Many beginners in data science often ask: “If I use Python libraries like Pandas, do I really need to learn Object-Oriented Programming (OOP)?” Since most tutorials focus on writing short scripts and working with datasets in notebooks, it may seem that OOP is unnecessary. However, the […]
- Pearson Correlation Explained: A Practical Tutorial for Beginners (With Business & Finance Examples)Last Updated on February 8, 2026 by Rajeev Bagra Understanding correlation is essential in data analysis, finance, marketing, and business intelligence. In this tutorial, you will learn: ✅ What Pearson correlation really measures✅ Why “no correlation” happens✅ How the formula works✅ When Pearson fails✅ How professionals use it in finance✅ How to interpret graphs correctly […]
- Last Updated on January 25, 2026 by Rajeev Bagra If you’re learning AI today or building cloud apps (Flask/Django, APIs, deployment, scaling), you’ve probably seen one big reality: ✅ Most AI tutorials assume NVIDIA + CUDA❌ But not everyone wants to depend on one ecosystem forever. That’s where the AMD Developer Program becomes interesting—especially if […]
- Last Updated on January 23, 2026 by Rajeev Bagra If you’ve ever wondered how people can hide a secret picture inside another image without changing how it looks, you’re about to understand one of the coolest ideas in computer science: ✅ LSB Steganography (Least Significant Bit hiding) In this post, I’ll explain it using a […]
- Last Updated on January 1, 2026 by Rajeev Bagra Why Python Data Analysis Evolves This Way (With Examples) When learning Python, most of us start with lists and dictionaries. They are powerful, flexible, and enough for many small tasks.However, as soon as data becomes larger, tabular, or analytical, we naturally transition to Pandas. This article […]
- When learning Django, one of the most confusing questions for beginners is: ❓ “Should I edit views.py and urls.py in the main project folder or inside my app?” In this tutorial, you will learn: ✅ The difference between Project and App ✅ Where views.py should go ✅ Where urls.py should go ✅ How everything connects […]
- In this tutorial you will learn: How Django renders a page for adding a task How to create a form in HTML How to process form data in Django How CS50 thinks about forms Most of this is inspired by the CS50 Week 3 Django notes about using forms to update a web page. ([edX][1]) […]
- — Understanding Value Types with the Student Example 🔹 Initial Context While learning Object-Oriented Programming (OOP) in Python, we often use dictionaries to store objects. For example: class Student: def __init__(self, exercises): self.exercises = exercises students = {} students["Alice"] = Student(12) students["Bob"] = Student(7) students["Harry"] = Student(5) Here, every value in the dictionary is a […]
- A Beginner-Friendly Learning Tutorial When working with Pandas, many learners ask: ❓ “Why do I need inplace=True when I am already working on the same DataFrame?” Let’s understand this step by step. 🧩 1. The Common Situation Suppose you have a DataFrame called df2: import pandas as pd df2 = pd.read_csv("data/brasil-real-estate-2.csv") Now you want […]
- (Does COUNT(*) Depend on the Column in SELECT?) ✅ Introduction When learning SQL, many beginners assume that COUNT(*) depends on the column written before it in the SELECT statement. For example, when seeing this query: SELECT city, COUNT(*) FROM schools GROUP BY city; A common question is: Does COUNT(*) count “by city” because city […]
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