Jake Hession – Medium

Jake Hession

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Jake Hession

Liquid Neural Nets (LNNs)

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

Feb 6

Liquid Neural Nets (LNNs)

Feb 6

Jake Hession

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

Support Vector Machine in a Nutshell

Aug 2

Jake Hession

Topology Optimization and Diffusion Models

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

May 7

Topology Optimization and Diffusion Models

May 7

Jake Hession

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

Discrete Distributions

Mar 6

Jake Hession

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

Recurrent Neural Networks and LSTM

Feb 19

Jake Hession

K-means Clustering

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

Feb 9

K-means Clustering

Feb 9

Jake Hession

Intro to TinyML

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

Jan 25

Intro to TinyML

Jan 25

Jake Hession

Getting Started.

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

Jan 19

Jan 19

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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