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I thought you needed advanced math to build machine learning models, but I was wrong
Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...
A class that is able to develop any (n, k) linear code. Includes an implementation of an ASCII correcting linear code along with a simulation of error correction.
Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
Neural fingerprinting is the identification of individuals in a cohort based on neuroimaging recordings of brain activity. In magneto- and electroencephalography (M/EEG), it is common practice to use ...
Notifications You must be signed in to change notification settings Introduction This is my report for my implementation of my Kaggle competition submission of ‘Bring back the Sun’. 1.1.
Abstract: Many machine learning applications employ a multiclass classification stage that uses multiple binary linear classifiers as building blocks. Among these, commonly used strategies such as one ...
Abstract: In this paper we present a linear pattern classification algorithm, Principal Component Null Space Analysis (PCNSA) which uses only the first and second order statistics of data for ...
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