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Jake Hession

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Liquid Neural Nets (LNNs)

A deep dive into Liquid Neural Networks, one of the most exciting recent developments in time series forecasting

Feb 6, 2024

Liquid Neural Nets (LNNs)

Feb 6, 2024

Binary Decision Trees and Forests

A broad overview of decision trees and forests, as well as new research into optimal decision tree sets.

Dec 21, 2024

Binary Decision Trees and Forests

Dec 21, 2024

Support Vector Machine in a Nutshell

Support Vector Machines (SVMs) are a foundational regression/binary classification model and one of the most useful concepts in machine…

Aug 2, 2024

Support Vector Machine in a Nutshell

Aug 2, 2024

Topology Optimization and Diffusion Models

Explore how diffusion models and GANs can aid engineering and product design

May 7, 2024

Topology Optimization and Diffusion Models

May 7, 2024

Discrete Distributions

Distributions are great for modeling sequences of events and determining the probability of a certain number of successes or a range of…

Mar 6, 2024

Discrete Distributions

Mar 6, 2024

Recurrent Neural Networks and LSTM

An introduction RNNs and LSTMs, two of the most common and reliable neural net architecures for sequential tasks.

Feb 19, 2024

Recurrent Neural Networks and LSTM

Feb 19, 2024

K-means Clustering

K-means clustering is a common machine learning approach that can help you draw new insights from data

Feb 9, 2024

K-means Clustering

Feb 9, 2024

Intro to TinyML

A quick dive into TinyML; boldly going smaller in a field where scaling is all the rage

Jan 25, 2024

Intro to TinyML

Jan 25, 2024

Getting Started.

I can call this my New Year’s resolution, right?

Jan 19, 2024

Jan 19, 2024

Jake Hession

Jake Hession

Pursuing a degree in Computer Science and History, interested in Computer Vision, TinyML, and Generative AI. Writing to learn.

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