Image by Author | Ideogram Data is the asset that drives our work as data professionals. Without proper data, we cannot perform our tasks, and our business will fail to gain a competitive advantage. Thus, securing suitable data is crucial for any data professional, and data pipelines are the systems designed for this purpose. …
Build Your Own Simple Data Pipeline with Python and Docker Read More »
need a simple, engaging, and scalable method for presenting geospatial data, they often turn to a heatmap. This 2D visualization divides a map into equal-sized grid cells and uses color to represent the magnitude of aggregated data values within the cells. Overlaying heatmaps on geographical maps permits quick visualization of spatial phenomena. Patterns such as …
How to Overlay a Heatmap on a Real Map with Python Read More »
Image by Author | ChatGPT After mastering the Python fundamentals, the best way to solidify your knowledge is by building projects. But with Python’s vast ecosystem, it can be overwhelming to know where to start. That’s where curated GitHub repositories come in, they provide direct links to real-life projects in data science, automation, machine …
make smart choices when it starts out knowing nothing and can only learn through trial and error? This is exactly what one of the simplest but most important models in reinforcement learning is all about: A multi-armed bandit is a simple model for learning by trial and error. Just like we do. We’ll explore why …
Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning Read More »
Image by Author | ChatGPT ContentsIntroductionPart 1: Understanding Generative AI FundamentalsPart 2: The GenAI Engineering Skill StackPart 3: Tools and Implementation FrameworkPart 4: Hands-On Project PortfolioPart 5: Advanced ConsiderationsPart 6: Responsible GenAI DevelopmentPart 7: Staying Current in the Fast-Moving GenAI SpaceResources for Continued LearningConclusion Introduction The explosion of generative AI has transformed how we …
hype surrounding AI, some ill-informed ideas about the nature of LLM intelligence are floating around, and I’d like to address some of these. I will provide sources—most of them preprints—and welcome your thoughts on the matter. Why do I think this topic matters? First, I feel we are creating a new intelligence that in many …
Image by Author | ChatGPT ContentsIntroduction1. Finding the Day of the Week2. Calculating the Time Until a Future Event3. Working with Timezones4. Getting the Last Day of a Month5. Calculating Your Precise Age6. Iterating Through a Range of Dates7. Parsing Dates from Non-Standard String Formats8. Finding the Nth Weekday of a Month9. Getting the …
10 Surprising Things You Can Do with Python’s datetime Module Read More »
ContentsParts 1 and 2 of this series focussed on the technical aspect of improving the experimentation process. This started with rethinking how code is created, stored and used, and ended with utilising large scale parallelization to cut down the time taken to run experiments. This article takes a step back from the implementation details and …
Reducing Time to Value for Data Science Projects: Part 3 Read More »
Image by Author | Canva Do you think only mathematicians and software engineers can work in AI? Well, you’re wrong if you do. Many people who are successful in data science and AI don’t have a tech background. So, yes, you can transition into AI even if you have started your career in, for example, …
5 Ways to Transition Into AI from a Non-Tech Background Read More »
As a developer working with machine learning models, you likely spend hours writing scripts and adjusting hyperparameters. But when it comes to sharing your work or letting others interact with your models, the gap between a Python script and a usable web app can feel enormous. Gradio is an open source Python library that lets …
Build Interactive Machine Learning Apps with Gradio Read More »
