Deep Learning with Yacine on MSN
Building multivariate linear regression in C++ — no libraries, just code
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
Abstract: Active microwave thermography (AMT) is a coupled electromagnetic (EM) and thermographic nondestructive testing and evaluation (NDT&E) technique. AMT utilizes a radiating EM source (e.g., an ...
This Jupyter Notebook (thompson_stucco_project.ipynb) develops a machine learning pipeline to predict the compressive strength of stucco mixtures. The project includes data loading, exploration, ...
TIOBE Programming Index News August 2025: AI Copilots Are Boosting Python’s Popularity Your email has been sent Generative AI can be a self-fulfilling prophecy: Because gen AI scans vast amounts of ...
In this paper we study necessary optimality conditions for the problem of minimizing a polynomial function over a set defined by polynomial inequalities. Assume that the problem is bounded below and ...
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