Whispers from the digital wind, hang tight..
A data-driven approach to machine unlearning of generative language models Image generated with DALLE 3 In today’s tech landscape, you’d be hard pressed to find someone who hasn’t heard of machine learning. Over the last decade the research field has been so
How to turn an origin-destination matrix into a mesmerizing animation Continue reading on Towards Data Science »
Navigating the Realm of Adversarial Machine Learning Continue reading on Towards Data Science »
Complex tasks completed in a quick and simple way. Continue reading on Towards Data Science »
But why should the columns of the first matrix match the rows of the second? Why not have the rows of both match? Continue reading on Towards Data Science »
“The Book of Why” Chapters 3&4, a Read with Me series Continue reading on Towards Data Science »
A guide on who should use it, when to use it, how to use it, and why I was wrong before… Continue reading on Towards Data Science »
With the constant buzz around new tools and cutting-edge models, it’s easy to lose sight of a basic truth: the real value in leveraging data lies in its ability to bring about tangible positive change. Whether it’s around complex business
Background, implementation, and model improvement Among the trees (photo by author) Decision trees (DT) get ditched much too soon. It happens like this: The DT is trained. Natural overfitting presents. Hyper-parameters get tuned (unsatisfactorily). Finally, the tree is replaced with Random Forest. While that
Master Computer Vision by building a CNN from scratch all by yourself. Continue reading on Towards Data Science »
Recent Comments