How to use the full capabilities of Matplotlib to tell a more compelling story Continue reading on Towards Data Science »
Dancing with the stars of binary realms.
How to use the full capabilities of Matplotlib to tell a more compelling story Continue reading on Towards Data Science »
Image generated with DALL.E-3 Welcome to the rollercoaster of ML optimization! This post will take you through my process for optimizing any ML system for lightning-fast training and inference in 4 simple steps. Imagine this: You finally get put on a cool
Learn how powerful Python callables can be. Continue reading on Towards Data Science »
A glimpse into the wizarding world of Tech & what you need to make your way in and succeed as a Data Wizard-ist Continue reading on Towards Data Science »
Showing techniques to optimise your own LLMs — with code examples Continue reading on Towards Data Science »
A Dive into Solving Generative Design Problems Through Deep Reinforcement Learning Continue reading on Towards Data Science »
An example of predicting bulk density (RHOB) with Keras and illustrating impacts of normalisation on prediction results Continue reading on Towards Data Science »
Learn how visualizations, algorithms, and statistics help you to identify anomalies for your machine learning tasks. Continue reading on Towards Data Science »
How to Handle Different CUDA Versions in Your Development Environment Photo by Nikola Majksner on Unsplash In one of my previous roles as an AI consultant, I was tasked with utilizing virtual environments as a tool for managing and isolating Python
How effectively do different approaches to record linkage use information in the records to make predictions? Wringing information out of data. Image created by the author using DALL·E 3 A pervasive data quality problem is to have multiple different records that
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