List: 👨🏽‍🏫 Machine Learning Theory | Curated by Diego Unzueta

Jul 28, 2022
22 stories
👨🏽‍🏫 Machine Learning Theoryby Diego Unzueta
In
TDS Archive
by
Diego Unzueta
Data Visualization Theory: An IntroductionKey Data Visualization Theory needed in Data Science
Mar 29, 2022
3
Mar 29, 2022
3
In
TDS Archive
by
Diego Unzueta
Transformers: An Overview of the Most Novel AI ArchitectureThe Model Responsible for your Siri, Alexa and Google Home
Jul 27, 2022
3
Jul 27, 2022
3
In
TDS Archive
by
Diego Unzueta
Support Vector Machines (SVMs): Important DerivationsSVM Theory Comprehensively Explained and Visualized
May 9, 2022
1
May 9, 2022
1
In
TDS Archive
by
Diego Unzueta
Unsupervised Learning: K-Means ClusteringK-means Clustering Intuitively Explained
Apr 5, 2022
Apr 5, 2022
In
TDS Archive
by
Diego Unzueta
Using AI to Detect FraudWhat is Precision and Recall and how do you use it?
Mar 16, 2022
2
Mar 16, 2022
2
In
TDS Archive
by
Diego Unzueta
How GANs Learn: A Simple IntroductionHow Generative Adversarial Networks (GANs) learn, theory and application
Nov 1, 2021
Nov 1, 2021
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TDS Archive
by
Diego Unzueta
Reinforcement Learning: An IntroductionAn introduction to the fundamentals of Reinforcement Learning, all you need to know to get started
Jan 21, 2022
1
Jan 21, 2022
1
In
TDS Archive
by
Diego Unzueta
Fisher’s Linear Discriminant: Intuitively ExplainedAn intuitive explanation of Fisher’s Linear Discriminant, the Basis of Linear Discriminant Analysis
Dec 22, 2021
1
Dec 22, 2021
1
In
TDS Archive
by
Diego Unzueta
Convolutional Layers vs Fully Connected LayersWhat is really going on when you use a convolutional layer vs a fully connected layer?
Nov 13, 2021
2
Nov 13, 2021
2
In
TDS Archive
by
Diego Unzueta
How to Generate Tabular Data Using CTGANsAn in-depth explanation of how CTGANs work
Nov 9, 2021
2
Nov 9, 2021
2
In
TDS Archive
by
Diego Unzueta
Differentiable Generator Networks: an IntroductionAn introduction to VAEs, GANs and their challenges
Oct 21, 2021
1
Oct 21, 2021
1
In
TDS Archive
by
Diego Unzueta
VAEs: Indirect Sampling from Latent Image DistributionGenerating Image Data with Variational Auto Encoders
Oct 11, 2021
Oct 11, 2021
In
TDS Archive
by
Diego Unzueta
Kernel Methods: A Simple IntroductionThe basics of kernel methods and Radial Basis Functions
Oct 14, 2021
Oct 14, 2021
In
TDS Archive
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Diego Unzueta
MCMC: A Visual IntroductionTwo basic sampling algorithms visually explained
Oct 5, 2021
2
Oct 5, 2021
2
In
TDS Archive
by
Diego Unzueta
Kalman Filtering: A Simple IntroductionThe optimal online learning algorithm for linear systems with Gaussian noise
Oct 4, 2021
3
Oct 4, 2021
3
In
TDS Archive
by
Diego Unzueta
Fourier Transforms: An Intuitive VisualisationAn intuitive visualisation of a discrete Fourier transform applied to simple time-series data.
Sep 17, 2021
6
Sep 17, 2021
6
In
TDS Archive
by
Diego Unzueta
Where Online Learning Outperforms Conventional Models: How Recursive Least Squares WorksA simple model that learns on the fly updating its weights as new data comes in.
Sep 17, 2021
1
Sep 17, 2021
1
In
TDS Archive
by
Diego Unzueta
Derivation of Least Squares Regressor and ClassifierA basic but powerful classifier and regressor, their derivations and why they work
Sep 17, 2021
1
Sep 17, 2021
1
In
TDS Archive
by
Diego Unzueta
Equivalence of Regularised Least Squares and Maximising the Posterior Probability Function
Sep 17, 2021
Sep 17, 2021
In
TDS Archive
by
Diego Unzueta
Drawing out the Posterior Probability Surface of a Gaussian ClassifierGaussian Classifiers, exploring the effect of covariance and priors on the posterior probability surface
Sep 20, 2021
Sep 20, 2021