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

Jul 28, 2022
22 stories
👨🏽‍🏫 Machine Learning Theoryby Diego Unzueta
Diego Unzueta
in
Towards Data Science
Data Visualization Theory: An IntroductionKey Data Visualization Theory needed in Data Science
Mar 29, 2022
3
Mar 29, 2022
3
Diego Unzueta
in
Towards Data Science
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
Diego Unzueta
in
Towards Data Science
Support Vector Machines (SVMs): Important DerivationsSVM Theory Comprehensively Explained and Visualized
May 9, 2022
1
May 9, 2022
1
Diego Unzueta
in
Towards Data Science
Unsupervised Learning: K-Means ClusteringK-means Clustering Intuitively Explained
Apr 5, 2022
Apr 5, 2022
Diego Unzueta
in
Towards Data Science
Using AI to Detect FraudWhat is Precision and Recall and how do you use it?
Mar 16, 2022
2
Mar 16, 2022
2
Diego Unzueta
in
Towards Data Science
How GANs Learn: A Simple IntroductionHow Generative Adversarial Networks (GANs) learn, theory and application
Nov 1, 2021
Nov 1, 2021
Diego Unzueta
in
Towards Data Science
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
Diego Unzueta
in
Towards Data Science
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
Diego Unzueta
in
Towards Data Science
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
Diego Unzueta
in
Towards Data Science
How to Generate Tabular Data Using CTGANsAn in-depth explanation of how CTGANs work
Nov 9, 2021
2
Nov 9, 2021
2
Diego Unzueta
in
Towards Data Science
Differentiable Generator Networks: an IntroductionAn introduction to VAEs, GANs and their challenges
Oct 21, 2021
1
Oct 21, 2021
1
Diego Unzueta
in
Towards Data Science
VAEs: Indirect Sampling from Latent Image DistributionGenerating Image Data with Variational Auto Encoders
Oct 11, 2021
Oct 11, 2021
Diego Unzueta
in
Towards Data Science
Kernel Methods: A Simple IntroductionThe basics of kernel methods and Radial Basis Functions
Oct 14, 2021
Oct 14, 2021
Diego Unzueta
in
Towards Data Science
MCMC: A Visual IntroductionTwo basic sampling algorithms visually explained
Oct 5, 2021
2
Oct 5, 2021
2
Diego Unzueta
in
Towards Data Science
Kalman Filtering: A Simple IntroductionThe optimal online learning algorithm for linear systems with Gaussian noise
Oct 4, 2021
3
Oct 4, 2021
3
Diego Unzueta
in
Towards Data Science
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
Diego Unzueta
in
Towards Data Science
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
Diego Unzueta
in
Towards Data Science
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
Diego Unzueta
in
Towards Data Science
Equivalence of Regularised Least Squares and Maximising the Posterior Probability Function
Sep 17, 2021
Sep 17, 2021
Diego Unzueta
in
Towards Data Science
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