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Classification Metrics and Regression Metrics: A Beginner-Friendly Guide to Evaluating Machine…
Introduction Continue reading on Medium »
K-Nearest Neighbors (KNN): Understanding One of the Simplest Machine Learning Algorithms
Machine Learning | Python | Data Science Continue reading on Medium »
Windows 11 Is About to Tell Every App How Old You Are
Eighty days until the deadline. One Microsoft blog post nobody read, one signature nobody noticed, and a Linux panic that aged like milk. Continue reading on Medium »
Same Meaning, Different Models: Engineering a Semantic Layer for LLM Interoperability
Abstract Continue reading on Stackademic »
How Machine Learning Learns from Data
From Raw Data to Intelligent Decisions — by Aman Kumar Singh Continue reading on Medium »
I’ve Tested 40+ AI Tools in 18 Months. The Reviews Are Missing the Most Important Thing
Every benchmark compares speed, accuracy, and features. Nobody is measuring what these tools are quietly doing to the people who use them. Continue reading on Medium »
Google Gemini 4 Argon: Features, AI Agents & What Comes Next
Gemini 4 Argon is here. But Google’s biggest move isn’t just building a smarter AI model. It’s changing what AI can actually do for us. Continue reading on Medium »
Is Speech Recognition Still the Hard Part of a Voice Controlled Browser?
A local Whisper and Playwright experiment, read against Thinking Machines Lab’s interaction models Continue reading on Medium »
Introduction to the Cloud ☁️ Diary Entry 1 ❤️
Welcome to the cloud Continue reading on Medium »
Poverty Takes Away All the Happiness in Life
Gurbat insan ki zindagi ka aik aisa dukh hai jo uski bohat si khushiyan cheen leta hai. Jab insan ke paas paisa nahi hota, to usay apni… Continue reading on Medium »
Why is polynomial regression still linear regression?
A model containing X² is still called linear regression. Wait, what? 🤯 Continue reading on Medium »
You’re Already Using AI But Are You Actually AI-Ready? 10 Skills to Master
As AI reshapes software development, knowledge work, and everyday problem-solving, here’s a practical roadmap to the skills that matter… Continue reading on Towards AI »
Why F-test than individual t- tests on features of ml model?
If you’ve used statsmodels for linear regression, you've probably seen a t-statistic and p-value for every coefficient. Continue reading on Medium »
If You Believe in the Future of AI, ODSC AI West 2026 Is for You
How fast are things changing? Well, just look at the news: every few months, someone claims the future of AI will arrive all at once, with… Continue reading on Medium »
Beyond the Hype: How Artificial Intelligence is Reshaping the Future of Work
We have all seen the dramatic headlines warning that robots are coming for our careers. Yet, if you look inside modern offices, home… Continue reading on Medium »
Customers Churn Prediction using Machine Learning
In this article, I want to share what I learned about Customer Churn Prediction using Machine Learning. Continue reading on Medium »
Python Coding Interview Series:6/29 [Sliding Window]
Instead of re-examining every stretch of a list from scratch, keep one window, slide it forward, and update its summary as items enter and… Continue reading on Models to Systems »
Transfer Learning on 30 Photos: Classifying and Detecting Parking Spaces, and the Bugs That…
A pretrained ResNet, EfficientNet and ConvNeXt, a fine-tuned YOLOv8, and an honest audit of my own 143-cell notebook. Continue reading on Medium »
Self-Attention Explained with Real Numbers
How does a transformer know that “bank” means a riverbank? Compute self-attention by hand on a three-word example, step by step, with… Continue reading on Medium »
Payment Failed? The App Might Not Be the Problem
Behind every digital transaction sits an ecosystem of banks, payment networks, processors, and technology companies. Continue reading on Medium »
Corporations are ditching ai
who would have thought? Continue reading on sofia’s tech cubicle »
Your Model Can Ace the Format Check and Still Fail the Question
A new paper shows that rule-checking benchmarks can reward hollow answers, that RL training can bake that habit in, and that a light fix… Continue reading on Medium »
Voice Deepfake Antidote: Combining AI-Based Voice Deepfake Detection with Contextual Risk…
A browser-based prototype that detects fake voices and adds context to warn users about social engineering attacks. Continue reading on Medium »
Image Classification, Starting from the Simplest Idea
k-nearest neighbors from Stanford CS231n Lecture 2: how it works, how to tune it, and where it breaks Continue reading on Medium »
Cheap GPU Cloud Is the Wrong Question: 4 Hidden Costs Behind Every GPU Vendor Quote
Originally published on the Convox blog Continue reading on Medium »
Machine Learning with Python: From Basic Concepts to Real-World Applications
Machine Learning with Python Course learning is a practical starting point for anyone curious about how computers can learn from… Continue reading on Medium »
AI Harms and Their Technical Causes
How technical choices can lead to safety failures, and what to do differently Continue reading on Medium »
Can One GPU Really Run a 320-Billion-Parameter Coding Model? A Practical Reality Check
GLM 5.3 Flash is a huge open-weight coding model. A new runtime claims it can run on a single 24 GB graphics card. Here is what that means… Continue reading on Medium »
95% Cache Hits, 5% Database Load: How Meta Handles Billions of Requests
Imagine you’re building an application that serves 100 million users. Every time someone opens their feed, your backend needs to retrieve… Continue reading on Medium »
Small Probe. Bigger Concrete Insights
Can a compact ultrasonic probe help assess the quality of massive concrete structures? Yes. Ultrasonic Pulse Velocity (UPV) testing allows… Continue reading on Medium »
A Technical Review of AI Techniques, Healthcare Applications, Challenges, and Future Directions
Deep Learning for Medical Image Analysis: A Technical Review Continue reading on Medium »
The AI Engineer Roadmap for 2027
If I were starting out as an AI Engineer in 2027, I wouldn’t jump straight into the newest AI agent frameworks or spend months on prompt… Continue reading on Medium »
The 5 Levels of Agentic AI (And Why Most Businesses Need Less Autonomy Than They Think)
Not every AI application is an AI agent. Continue reading on Medium »
“Fingerprint, iris, or voice: which biometric fails first, and why fusion saves you”
Biometric systems feel unbeatable — until you realize every single one of them can actually fail at one point just on its own. Continue reading on Medium »
Which number can you trust? Classification and regression metrics, explained with a smoke alarm
Accuracy sounds like the only score that matters, until your model never finds a single case Continue reading on Data Science Collective »
What 0.8 is supposed to mean
When I hand Jeb a question, he hands back a number for every option. A made-up example: Billing 0.81, Technical 0.12, Account 0.07. Continue reading on Medium »
Gated Linear Units and Variants: The FFN Change That Made Every Modern LLM Better
ReLU is a hard switch. GELU is a smooth one. GLU adds a second path that learns how much information to pass through. Every model built… Continue reading on Medium »
Day 14 of 100: Why a Lower Learning Rate Didn’t Always Give Me Better Results
My hands-on experiment with learning-rate scheduling, Momentum, and Python. Continue reading on Medium »
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