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Let’s start by getting one thing straight. There’s no single way to estimate a machine learning project. After all, you’re asking people to create a program that can harness vast amounts of data in such a way that it generates huge value for your business. And that’s no easy task. But if you work with the right team, they will have a process that makes estimating the work as simple as possible. Based on our experience working with many clients, we’ve created a process that seems to work well. In this article, we’ll share it with you so you can…
Image by Author # Introduction Data validation code in Python is often a pain to maintain. Business rules get buried in nested if statements, validation logic mixes with error handling, and adding new checks often means sifting through procedural functions to find the right place to insert code. Yes, there are data validation frameworks you can use, but we’ll focus on building something super simple yet useful with Python. Let’s write a simple Domain-Specific Language (DSL) of sorts by creating a vocabulary specifically for data validation. Instead of writing generic Python code, you build specialized functions and classes that express…
Image processing has had a resurgence with releases like Nano Banana and Qwen Image, stretching the boundary of what was previously possible. We’re no longer stuck with extra fingers or broken text. These models can produce life-like images and illustrations that mimic the work of a designer. Meta’s latest release, SAM3D, is here to make its own contribution to this ecosystem. With an ingenious approach to 3D object and body modelling, It’s here to present itself as a welcome addition to any designer’s arsenal. This article will break down what SAM3D is, how you can access it and a hands-on…
As the pandemic took hold and society closed down, e-learning let educational institutions continue to teach their students. And over the last eighteen months, more and more solutions have helped improve the quality and effectiveness of online learning. Artificial intelligence has played a crucial role across the e-learning industry. According to a Global Market Insights report, AI in education will surpass USD 6 billion by 2024. In this article, you’ll find five examples of how AI is transforming e-learning today. 1. Crafting personalized learning experiences In educational environments, learners typically receive the same content. Given how challenging it would be…
Sponsored Content As businesses and researchers rely ever more on web data, large-scale scraping has become a mission-critical activity in 2026. The success of such projects hinges on choosing the right proxy provider—one with global coverage, high reliability, powerful anti-bot capabilities, and strong compliance. In this article, we compare industry leaders: Bright Data, Oxylabs, Smartproxy, and NetNut. Why Use Proxies for Large-Scale Scraping? At scale, web scraping quickly hits obstacles like geo-restrictions, IP bans, and CAPTCHAs. Robust proxies allow you to rotate identities, reach any region, and bypass sophisticated anti-bot systems, all while protecting your infrastructure…
Imagine an AI that doesn’t just answer your questions, but thinks ahead, breaks tasks down, creates its own TODOs, and even spawns sub-agents to get the work done. That’s the promise of Deep Agents. AI Agents already take the capabilities of LLMs a notch higher, and today we’ll look at Deep Agents to see how they can push that notch even further. Deep Agents is built on top of LangGraph, a library designed specifically to create agents capable of handling complex tasks. Let’s take a deeper look at Deep Agents, understand their core capabilities, and then use the library to…
The pandemic has led to a striking deterioration of finances, both for corporations and households alike. And if you need to contact debtors who fail to repay in time, you can use artificial intelligence and machine learning to support the process. In this post, we talk about how AI can improve debt collection, discussing the benefits of using it in your business. How to use AI in debt collection Some 191 million Americans now have credit cards, with total consumer credit exceeding $14.9 trillion. If lenders are to stay afloat, they need effective ways to collect the debt. Here are…
Image by Editor # Introduction I have been immersed in artificial intelligence (AI) tools, not just writing about them but using them every day in my work as a data scientist. They have completely changed how I get things done, helping me write cleaner code, improve my writing, speed up data analysis, and deliver projects much faster. In this article, I share the seven AI tools that have become permanent parts of my workflow. No replacements, no substitutes — just the essentials that power everything from machine learning projects to content automation. # 1. Grammarly AI Image by Author …
NeurIPS dropped its list of the best research papers for the year 2025, and the list does more than name-drop impressive work. It provides a map for navigating the problems the field now cares about. This article would shed some light to what those papers are, and how they were able to contribute to AI. We’ve also included links to the full papers, incase you were curious. The Selection Criteria The best paper award committees were tasked with selecting a handful of highly impactful papers from the Main Track and the Datasets & Benchmark Track of the conference. They came…
Artificial intelligence is taking over the business world. McKinsey’s ‘The state of AI in 2020’ report estimates that 50% of companies already use AI in at least one function. And that only scratches the surface of what’s to come. Forecasts suggest that the revenues generated by artificial intelligence will double between 2020 and 2024, signaling how many businesses will harness the technology in the name of growth. That said, companies still struggle to adopt AI — and today, we’ll share the ten challenges we hear about the most. Let’s dive in. 10 Challenges to AI Adoption If you’re considering using…