Decode AI

Artificial Intelligence

[Day 23] Unsupervised Machine Learning Type 6 – t-SNE (with a Small Python Project)

t-SNE is like unfolding a messy ball of song data into a beautiful 2D map—see genres, patterns & outliers with just one glance! 🎶🧠

Artificial Intelligence

[Day 22] Unsupervised Machine Learning Type 5 – ICA (Independent Component Analysis) (with a Small Python Project)

Ever wish you could untangle mixed signals like brainwaves or audio streams? ICA does just that—like magic for messy data! 🎧🧠

Artificial Intelligence

[Day 21] Unsupervised Machine Learning Type 4 - Principal Component Analysis(PCA) (with a Small Python Project)

Too many features? PCA squeezes your data into 2 smart axes—keeping the patterns, ditching the noise. 💡📉

Artificial Intelligence

[Day 20] Unsupervised Machine Learning Type 3 - DBSCAN (with a Small Python Project)

Forget fixed clusters—DBSCAN hunts down dense transaction zones and flags outliers like a fraud-sniffing detective. 🕵️‍♂️💳

Artificial Intelligence

[Day 19] Unsupervised Machine Learning Type 2 - Hierarchical Clustering (with a Small Python Project)

From borrower risk levels to cancer cells—hierarchical clustering builds a tree of insights! Dive in with a visual Python demo 🚀📊

Artificial Intelligence

[Day 18] Unsupervised Machine Learning Type 1 - K-Means Clustering (with a Small Python Project)

Ever grouped patients by symptoms or spotted fraud without labels? That’s K-Means! Dive into unsupervised learning with this visual Python project! 🧠📊

Artificial Intelligence

[Day 17] Supervised Machine Learning Type 8 - Gradient Boosting Machines (GBM) (with a Small Python Project)

Failed your first test? Learn from it! That’s exactly how Gradient Boosting works. Discover how machines ace predictions just like you would! 💡📊

Artificial Intelligence

[Day 16] Supervised Machine Learning Type 7 - Random Forest (with a Small Python Project)

What happens when 100+ decision trees team up? You get Random Forest—a prediction powerhouse! Learn it with a heart disease project in Python!

Artificial Intelligence

[Day 15] Supervised Machine Learning Type 6 - Naive Bayes Algorithm (with a Small Python Project)

How can probabilities predict survival? Discover Naive Bayes—ML’s quiet powerhouse—with real-world cases and a Titanic rescue mission in Python!

Artificial Intelligence

[Day 14] Supervised Machine Learning Type 5 - k-Nearest Neighbors (k-NN) Algorithm (with a Small Python Project)

No training, just intuition—k-NN predicts like a pro using your nearest data points. Discover how it works with fruits & shopping habits!

Artificial Intelligence

[Day 13] Supervised Machine Learning Type 4 - Support Vector Machine (with a Small Python Project)

How do machines draw the perfect line between “yes” & “no”? Discover the magic of SVM with real examples and a flower-predicting Python project!

Artificial Intelligence

[Day 12] Supervised Machine Learning Type 3 - Decision Tree (with a Small Python Project)

Ever wondered how machines decide “yes” or “no”? Dive into Decision Trees—learn with real examples, Python code & even build a music recommender!

Artificial Intelligence

[Day 11] Supervised Machine Learning Type 2 - Logistic Regression (with a Small Python Project)

Can AI predict if a patient has diabetes? With Logistic Regression, it can. Dive into one of ML’s simplest and smartest tools for classification.

Artificial Intelligence

[Day 10] Supervised Machine Learning Type 1 - Linear Regression (with a Small Python Project)

Want to predict house prices or Canada’s future income? Linear Regression is your go-to tool—simple, powerful, and perfect for real-world insights.

Artificial Intelligence

[Day 9] Supervised Machine Learning Algorithms

Before diving into deep learning, let’s master the basics—real-world ML tools like regression, trees, SVMs, and more that solve big problems simply.

Artificial Intelligence

[Day 8] Types of Large Language Models (LLMs)

From GPT to Gemini, LLMs come in many forms—text wizards, code companions, image interpreters, and multilingual maestros. Meet the AI family tree.

Artificial Intelligence

[Day 7] Understanding of Large Language Models

Ever wondered how AI like ChatGPT seems to “understand” you? Meet Large Language Models—the brain behind the magic, trained on billions of words to write, chat, translate, and think like us.

Artificial Intelligence

[Day 6] Architectures of Generative AI

Learn how GANs, VAEs, and Transformers power generative AI—from photorealistic images to human-like text—each built for a unique creative task.

Artificial Intelligence

[Day 5] Understanding of Generative AI

Generative AI goes beyond analysis to create original content—text, images, music, and code—transforming industries and the future of creativity.

Artificial Intelligence

[Day 4] Understanding of Deep Learning

Deep learning uses layered neural networks to mimic the brain, powering smart tech from medical imaging to AI-generated videos. Dive into the future.

Artificial Intelligence

[Day 3] Machine Learning (ML) and Neural Networks (NN)

Learn how Machine Learning teaches computers to learn from data and how Neural Networks mimic the human brain to power AI like face recognition and chatbots.

Artificial Intelligence

[Day 2] Demystifying Artificial Intelligence: From Basics to Breakthroughs

Discover how AI—from rule-based systems to creative machines like ChatGPT—is transforming our world and shaping the future of human progress.

Artificial Intelligence

[Day 1] What is Artificial Intelligence?

Dive into the world of Artificial Intelligence—discover how AI, Machine Learning, Neural Networks, Deep Learning, Generative AI, and Large Language Models are transforming industries, unlocking creativity, and reshaping our future in real-time.

APIs

Mastering APIs: A Simplified Guide for Product Managers (3/3)

c. API server Once the API client assembles the request, it sends it to the appropriate endpoint on the API server for processing. The API server is responsible for handling authentication, validating input data, retrieving or manipulating data from a database, and returning the appropriate response to the client. 1.

APIs

Mastering APIs: A Simplified Guide for Product Managers (2/3)

API Saga continues... 3. Components of an API? Imagine you're sending a message to a friend. You (the API Client) write down what you need (API Request) and give it to the messenger (API Server). The messenger takes your message to your friend (API Server processes the request)