Machine Learning 3. Validating a Machine Learning Model: Why It Matters and How to Do It Right Ankit Tomar, June 20, 2025June 10, 2025 Validating a machine learning model is one of the most critical steps in the entire ML lifecycle. After all, you want to be sure your model is doing what it’s supposed to—performing well, generalizing to new data, and delivering real-world business impact. In this post, let’s explore what model validation… Continue Reading
Machine Learning 2. How Do Machine Learning Models Get Trained? Ankit Tomar, June 19, 2025June 10, 2025 So far, we’ve talked about what machine learning models do at a high level—they take in historical data, learn patterns, and help us make predictions. But how exactly does a machine learning model get trained, tested, and prepared for the real world? Let’s walk through that journey step by step…. Continue Reading
Machine Learning 1. Introduction to Machine Learning – A Simple, Layman-Friendly Explanation Ankit Tomar, June 18, 2025June 9, 2025 Let’s start with a simple question: How do we, as humans, make decisions? Think about it. Whether you’re deciding what to eat, which route to take to work, or when to water your plants—you’re using past experiences to make informed choices. Some of those experiences are your own, some come… Continue Reading
Career Data Science and AI: Real Career Challenges You Should Know Ankit Tomar, June 16, 2025June 6, 2025 Over the past decade, I’ve worked across various domains and seen the field of data science evolve dramatically—from traditional analytics to today’s GenAI capabilities. There’s no doubt we’ve come a long way, and yet, I still find myself answering the same questions over and over again—on YouTube, LinkedIn, and even… Continue Reading
Career 10 Real Ways to Get Better at Data Science & AI Ankit Tomar, June 13, 2025June 6, 2025 Over the past decade, I’ve built countless models, launched data products, and worked across geographies in the field of data science and AI. One thing that stands out to me is the wide skill gap among data science professionals. While many are good at the core task—model development—most fall short… Continue Reading
Machine Learning 🎯 Go-To-Market Reduction with a Hypothesis-First Approach in Data Science Ankit Tomar, June 12, 2025June 6, 2025 Let’s face it — most machine learning models never make it to production. Despite the effort, time, and resources poured into data science projects, a staggering percentage fail to deliver actual business value. Why? One of the biggest culprits is that we often jump straight into the data and start… Continue Reading
Machine Learning Building a Practical Explainable AI Dashboard – From Concept to Reusability 🧰🔍 Ankit Tomar, May 25, 2025June 17, 2025 In today’s world of machine learning, understanding why a model makes a decision is becoming just as important as the decision itself. Interpretability isn’t just a “nice to have” anymore—it’s essential for trust, debugging, fairness, and compliance. That’s why I set out to create a modular, reusable Explainable AI Dashboard…. Continue Reading