Skip to content Software Engineering in the LLM Era
engineering space, debates about whether using LLMs in coding is a good or a bad idea are raging. On the ...
Read more STOP Building Useless ML Projects – What Actually Works
all the time: “What projects should I do to get a job in data science or machine learning?” This question ...
Read more A Developer’s Guide to Building Scalable AI: Workflows vs Agents
I had just started experimenting with CrewAI and LangGraph, and it felt like I’d unlocked a whole new dimension of ...
Read more Use OpenAI Whisper for Automated Transcriptions
development lately with large language models (LLMs). A lot of the focus is on the question-answering you can do with ...
Read more Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed
you should read this article If you are planning to go into data science, be it a graduate or a ...
Read more How I Automated My Machine Learning Workflow with Just 10 Lines of Python
is magical — until you’re stuck trying to decide which model to use for your dataset. Should you go with a random ...
Read more Building a Modern Dashboard with Python and Gradio
second in a short series on developing data dashboards using the latest Python-based GUI development tools, Streamlit, Gradio, and Taipy. ...
Read more The Journey from Jupyter to Programmer: A Quick-Start Guide
, myself included, start their coding journey using a Jupyter Notebook. These files have the extension .ipynb, which stands for ...
Read more Reducing Time to Value for Data Science Projects: Part 2
In part 1 of this series we spoke about creating re-usable code assets that can be deployed across multiple projects. ...
Read more Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
In this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the results ...
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