Changing Tech

Exploring AI, Machine Learning & the technologies reshaping our world. From breakthrough models to real-world impact — we break down what’s next

[Changing Tech @devSouravSharma]

So:

Price = 5 × 10 + 20

Price = 50 + 20
Predicted price = ₹70 lakhs

The model doesn't magically know ₹70 lakhs. It learned the weight (5) and bias (20) from the training data.

#AI #MachineLearning #LinearAlgebra #ArtificialIntelligence #DeepLearning #DataScience #LearningAI

[Changing Tech @devSouravSharma]

🧠 Learning AI/ML? Don't skip the basics.

Let's understand one of the simplest but most important ideas:

=> Linear Equation

The classic form:

y = mx + b

But in Machine Learning, you'll often see:

ŷ = wx + b

#AI #MachineLearning #ArtificialIntelligence #ML #LearningAI

[Changing Tech @devSouravSharma]

🏠 Example 1: Predicting house price using one feature

Suppose the model learns:

Price = 5 × Size + 20

Here:

Size = house size in 100 sq. ft.
5 = weight
20 = bias
Price = predicted price in ₹ lakhs

If the house is 1,000 sq. ft., then:

Size = 10 (because 1,000 ÷ 100 = 10)

[Changing Tech @devSouravSharma]

Goodbye AI, hello SI! 🧠⚡ President Trump signed an executive order renaming "Artificial Intelligence" to "Super Intelligence" across all U.S. federal agencies.
Are you switching to SI or sticking with AI? #SuperIntelligence #TechNews #AI #trending #viral #SI

[Changing Tech @devSouravSharma]

@SheralTech Totally agree! I’m starting with the fundamentals to better understand what’s happening under the hood of AI. 🤖📚

[Changing Tech @devSouravSharma]

🧠 Learning AI/ML? Start with Linear Algebra.

But what exactly is it?

Think of it as the mathematics AI uses to work with data.👇
#AI #MachineLearning #LinearAlgebra #DeepLearning #ArtificialIntelligence #LLM #DataScience

[Changing Tech @devSouravSharma]

The simple idea:

Data → Vectors/Matrices → Math → Patterns → Predictions

I'm learning AI/ML step by step and sharing the journey.
#AI #MachineLearning #LinearAlgebra #DeepLearning #ArtificialIntelligence #LLM #DataScience

[Changing Tech @devSouravSharma]

For example:

A person can be represented as:

[Age, Height, Weight]

→ [28, 170, 70]

A dataset containing thousands of people becomes a matrix.

The same idea extends to:

🤖 Machine Learning
🧠 Neural Networks
👁️ Computer Vision
💬 NLP & LLMs
🎯 Recommendation Systems

[Changing Tech @devSouravSharma]

📊 Data Science

- Finding relationships between variables
- Mathematical transformations
- Statistical modeling

🧠 Deep Learning

- Vectors
- Weight calculations
- Neural network computations

💻 Computer Graphics & Games

- Position and movement
- 2D/3D transformations

[Changing Tech @devSouravSharma]

🚀 You think Algebra is just school mathematics? Think again.

If you're planning to learn AI, Machine Learning, Data Science, or even modern software technologies, Algebra is one of the foundations you shouldn't skip.
#AI #MachineLearning #ArtificialIntelligence #LinearAlgebra

[Changing Tech @devSouravSharma]

But where does this become useful in technology?

🤖 AI & Machine Learning

- Representing data mathematically
- Understanding ML models
- Linear regression
- Neural networks
- Optimization and loss functions

[Changing Tech @devSouravSharma]

Examples of machine learning in daily life:
1️⃣ - Recommendation Systems
2️⃣ - Virtual Assistants
3️⃣ - Email Spam Filtering
4️⃣ - Social Media Feeds
5️⃣ - Facial Recognition

[Changing Tech @devSouravSharma]

Machine Learning explained in 30 seconds:
Traditional coding: You give rules → computer gives output.
ML: You give examples → computer finds the rules. That's it.
That's the whole idea. 🧵👇

[Changing Tech @devSouravSharma]

Why does this even matter? 🤔

Some problems are too complex for hard-coded rules — handwriting recognition, speech understanding, stock prediction.

But show a model enough data, and it finds the pattern on its own.