Data Exploration with Python: A Hands-On Demo in EDA (and Why It’s Essential for Model Building)
Author(s): Faizulkhan Originally published on Towards AI. Exploratory Data Analysis (EDA) is the bridge between raw data and reliable machine-learning models. In this post, we will learn the “why” and the “how” through a complete, runnable example in Python using NumPy, Pandas, …
How to Pick the Best OCR Model for Text, Table & Graph Parsing — Using OCR Arena
Author(s): Days of Developer Originally published on Towards AI. How to Pick the Best OCR Model for Text, Table & Graph Parsing — Using OCR Arena Optical Character Recognition (OCR) has become a key enabler for digitising documents, automating data flows, and …
LLM Poisoning!
Author(s): Alok Choudhary Originally published on Towards AI. LLM Poisoning! LLM poisoning is a way to deliberately corrupt an AI model by feeding it a small amount of bad data during its training. The core goal of a poisoning attack is to …
Data Imputation in Machine Learning: A Practical, No-Nonsense Guide (ML Chapter -2, Module-2)
Author(s): Sayan Chowdhury Originally published on Towards AI. Missing data shows up everywhere: surveys, logs, sensors, medical records, finance datasets, you name it. And if you feed missing values directly into most ML models, they’ll crash or behave unpredictably. That’s why data …
Agentic AI Fundamentals: Part 3— How Do You Trust an AI Agent in the Real World?
Author(s): Anjanadry Rane Originally published on Towards AI. In the town of Greenfield, Max has grown from a kid with a good sense of direction into something more: a reliable guide who helps others navigate the forest. We’ve been using Max as …
AI Cost Reduction Outlook: How to Cut Operational Expenses Smartly
Author(s): Ruben Melkonian Originally published on Towards AI. How much is your organization losing every quarter by ignoring AI cost reduction potential? According to a recent McKinsey study [1], companies that have already applied gen AI across most critical operations see cost …
4 Techniques to Optimize Your LLM Prompts for Cost, Latency, and Performance
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to greatly improve the performance of your LLM application LLMs are capable of automating a significant number of tasks. Since the release of ChatGPT in 2022, we have seen more and more …
Context Engineering Explained: The Anthropic Guide That’s Changing How Developers Work with AI
Author(s): R Amogh Originally published on Towards AI. In September 2025, Anthropic’s Applied AI team published a blog post that racked up nearly 500,000 views in a week. The title? “Effective Context Engineering for AI Agents.” The post signaled something bigger than …
Turning Images into Live-Blinking Pixel Art Inside Excel (with Python)
Author(s): Sundar Balamurugan Originally published on Towards AI. Turning Images into Live-Blinking Pixel Art Inside Excel (with Python) Ever thought Excel was just a spreadsheet tool? Think again. With a bit of Python magic, Excel can become a canvas that displays images …
How to Consistently Extract Metadata from Complex Documents
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to extract important pieces of information from your documents Documents contain vast amounts of important information. However, this information is, in many cases, hidden deep into the contents of the documents and …
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