Taking a look at some of our most memorable and popular stories from the past year- 27239Murphy2025-03-22
Beating GPT3.5 in a Chess Match using a Multi-Strategy AI with Deep Reinforcement Learning- 26433Murphy2025-03-22
NYCOpenData has a treasure trove of both interesting and rich datasets to explore related to topics concerning health, environment, business, and education. I stumbled upon the 2018 Central Park Squirrel Census dataset and I knew immediately that I had to- 29938Murphy2025-03-22
In previous posts (e.g., here) we have expanded on the benefits of developing AI models in the cloud. Machine Learning projects, especially large ones, typically require access to specialized machinery (e.g., training accelerators), the ability to scale a- 28183Murphy2025-03-22
The challenges of running Principal Component Analysis in PySpark- 21777Murphy2025-03-22
An engineered guide for data analytics with SQL- 29469Murphy2025-03-22
When loading a wide Excel table into Power BI, we end up with a suboptimal Data model. What can we do to create a good Data model?- 22496Murphy2025-03-22
The simple reasoning behind prompt engineering- 25908Murphy2025-03-22
Linear models, handling non-linearity, and regularization- 22945Murphy2025-03-22
Am I solving the right problem?- 23957Murphy2025-03-22
Large Language Models are the next generation of Operating Systems- 24220Murphy2025-03-22
Advanced validation techniques with Pandera to promote data quality and reliability- 29070Murphy2025-03-22
Finding an answer with Python, MIDI, and Matplotlib- 26830Murphy2025-03-22
And what the Gen-AI revolution has taught us for 2024- 21752Murphy2025-03-22
Disclaimer: the examples in this post are for illustrative purposes and are not commentary on any specific content policy at any specific company. All views expressed in this article are mine and do not reflect my employer. Why is there any spam on social- 22609Murphy2025-03-22
Modern data warehousing and Machine Learning- 29938Murphy2025-03-22
In this blog, I will guide you through the process of analyzing Chess Grandmasters' openings using Python.- 25322Murphy2025-03-22
The recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous...- 21632Murphy2025-03-22
Fine-tuning large pre-trained models is computationally challenging, often involving adjustment of millions of parameters. This...- 23487Murphy2025-03-22
How to up-level your structured problem solving skills and communication skills- 24497Murphy2025-03-22
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
