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Bayes theorem DICOM Feynman integration GitHub GraphQL JSON Lagrange multiplier Laplace Leetcode Mathematica Principal Component Analysis Python R language REST API Tensorflow algorithms complex numbers covid-19 decision trees environment exponential fractals functional programming general relativity git gradient descent graphs integrals lenet linear algebra machine learning mathematics medicine neural networks newton method nlp optimization perturbation theory philosophy physics probabilities programming pytorch radiotherapy regression self-driving cars social networks statistics tensors vector analysis
Bayes theorem
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Acquisition functions in Bayesian Optimization 11 Jun 2021
-
Bayesian optimization for hyperparameter tuning 08 May 2021
-
Bayesian connection to LASSO and ridge regression 02 Aug 2020
-
Bayes theorem and likelihood ratios for diagnostic tests 19 Jan 2020
DICOM
Feynman integration
GitHub
GraphQL
JSON
Lagrange multiplier
Laplace
Leetcode
Mathematica
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The expectation-maximization algorithm - Part 1 03 Jul 2021
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An introduction to Gaussian Processes 30 Mar 2021
-
Alternating direction method of multipliers and Robust PCA 15 Mar 2021
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Why is normal distribution so ubiquitous? 29 Jan 2021
-
A gentle introduction to kernel density estimation 08 Dec 2020
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An almost one-liner to construct the Mandelbrot set with Mathematica 01 Dec 2020
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GitHub analytics with Mathematica 14 Oct 2020
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Adversarial attacks on neural networks 23 Jul 2019
Principal Component Analysis
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The encoder-decoder model as a dimensionality reduction technique 21 Jan 2021
-
Principal component analysis with Lagrange multiplier 01 Nov 2020
Python
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Bayesian optimization for hyperparameter tuning 08 May 2021
-
Longest substring with non-repeating characters 14 Apr 2021
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A list of machine-learning questions for interviews 22 Jan 2021
-
The encoder-decoder model as a dimensionality reduction technique 21 Jan 2021
-
Python decorators and the tf.function 13 Jan 2021
-
Probabilistic regression with Tensorflow 07 Jan 2021
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How to implement a Naive Bayes classifier with Tensorflow 31 Dec 2020
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Trainable probability distributions with Tensorflow 26 Dec 2020
R language
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Decision Trees: Gini index vs entropy 13 Apr 2021
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Benford's law and COVID-19 conspiracy theories 21 Aug 2020
-
Normality tests in statistics 06 May 2020
REST API
Tensorflow
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The encoder-decoder model as a dimensionality reduction technique 21 Jan 2021
-
Python decorators and the tf.function 13 Jan 2021
-
Probabilistic regression with Tensorflow 07 Jan 2021
-
How to implement a Naive Bayes classifier with Tensorflow 31 Dec 2020
-
Trainable probability distributions with Tensorflow 26 Dec 2020
-
Custom training loops and subclassing with Tensorflow 20 Dec 2020
algorithms
-
Acquisition functions in Bayesian Optimization 11 Jun 2021
-
Bayesian optimization for hyperparameter tuning 08 May 2021
-
Longest substring with non-repeating characters 14 Apr 2021
-
Probabilistic regression with Tensorflow 07 Jan 2021
-
How to implement a Naive Bayes classifier with Tensorflow 31 Dec 2020
-
Gradient descent 28 Jul 2019
complex numbers
covid-19
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Have you ever heard of anyone who became ill with Covid-19? 27 Nov 2020
-
Benford's law and COVID-19 conspiracy theories 21 Aug 2020
-
Common misconceptions about exponential growth 08 Apr 2020
decision trees
environment
exponential
fractals
functional programming
general relativity
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Dual spaces, dual vectors and dual basis 17 Nov 2019
-
How to derive the Riemann curvature tensor 29 Oct 2019
git
gradient descent
graphs
integrals
lenet
linear algebra
machine learning
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Random thoughts on ChatGPT 16 Jan 2023
-
Custom training loops with Pytorch 25 Sep 2022
-
Applications of autoencoders 17 Sep 2022
-
The expectation-maximization algorithm - Part 1 03 Jul 2021
-
Decision Trees: Gini index vs entropy 13 Apr 2021
-
An introduction to Gaussian Processes 30 Mar 2021
-
Alternating direction method of multipliers and Robust PCA 15 Mar 2021
-
Principal Component Analysis limitations and how to overcome them 23 Feb 2021
-
Why is normal distribution so ubiquitous? 29 Jan 2021
-
A list of machine-learning questions for interviews 22 Jan 2021
-
The encoder-decoder model as a dimensionality reduction technique 21 Jan 2021
-
Python decorators and the tf.function 13 Jan 2021
-
Probabilistic regression with Tensorflow 07 Jan 2021
-
How to implement a Naive Bayes classifier with Tensorflow 31 Dec 2020
-
Trainable probability distributions with Tensorflow 26 Dec 2020
-
Custom training loops and subclassing with Tensorflow 20 Dec 2020
-
Principal component analysis with Lagrange multiplier 01 Nov 2020
-
Bayesian connection to LASSO and ridge regression 02 Aug 2020
-
Norms and machine learning 19 Oct 2019
-
What does it really mean for a machine to learn mathematics? 27 Sep 2019
-
Arcsin transformation gone wrong 13 Sep 2019
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Energy considerations for training deep neural networks 14 Aug 2019
-
Gradient descent 28 Jul 2019
-
Adversarial attacks on neural networks 23 Jul 2019
mathematics
-
Custom training loops with Pytorch 25 Sep 2022
-
Applications of autoencoders 17 Sep 2022
-
The joy of not google'ing: Short to long stick ratio in broken rods 20 Dec 2021
-
The expectation-maximization algorithm - Part 1 03 Jul 2021
-
Decision Trees: Gini index vs entropy 13 Apr 2021
-
An introduction to Gaussian Processes 30 Mar 2021
-
Alternating direction method of multipliers and Robust PCA 15 Mar 2021
-
Principal Component Analysis limitations and how to overcome them 23 Feb 2021
-
Why is normal distribution so ubiquitous? 29 Jan 2021
-
Trainable probability distributions with Tensorflow 26 Dec 2020
-
Custom training loops and subclassing with Tensorflow 20 Dec 2020
-
Computing improper integrals with Cauchy's residue theorem 15 Dec 2020
-
A gentle introduction to kernel density estimation 08 Dec 2020
-
An almost one-liner to construct the Mandelbrot set with Mathematica 01 Dec 2020
-
Have you ever heard of anyone who became ill with Covid-19? 27 Nov 2020
-
Principal component analysis with Lagrange multiplier 01 Nov 2020
-
Benford's law and COVID-19 conspiracy theories 21 Aug 2020
-
Bayesian connection to LASSO and ridge regression 02 Aug 2020
-
How to sum a divergent series with Pade approximation 13 Jul 2020
-
A simple example of perturbation theory 21 Jun 2020
-
Normality tests in statistics 06 May 2020
-
Dual spaces, dual vectors and dual basis 17 Nov 2019
-
The birthday paradox, factorial approximation and Laplace's method 09 Nov 2019
-
How to derive the Riemann curvature tensor 29 Oct 2019
-
Norms and machine learning 19 Oct 2019
-
What does it really mean for a machine to learn mathematics? 27 Sep 2019
-
Arcsin transformation gone wrong 13 Sep 2019
-
The meaning of curl operator 22 Aug 2019
medicine
-
Common misconceptions about exponential growth 08 Apr 2020
-
Bayes theorem and likelihood ratios for diagnostic tests 19 Jan 2020
neural networks
-
Random thoughts on ChatGPT 16 Jan 2023
-
Custom training loops with Pytorch 25 Sep 2022
-
Applications of autoencoders 17 Sep 2022
-
Bayesian optimization for hyperparameter tuning 08 May 2021
-
Norms and machine learning 19 Oct 2019
-
What does it really mean for a machine to learn mathematics? 27 Sep 2019
-
Arcsin transformation gone wrong 13 Sep 2019
-
Adversarial attacks on neural networks 23 Jul 2019
newton method
nlp
optimization
-
The expectation-maximization algorithm - Part 1 03 Jul 2021
-
Acquisition functions in Bayesian Optimization 11 Jun 2021
-
Bayesian optimization for hyperparameter tuning 08 May 2021
-
Alternating direction method of multipliers and Robust PCA 15 Mar 2021
-
Trainable probability distributions with Tensorflow 26 Dec 2020
-
Custom training loops and subclassing with Tensorflow 20 Dec 2020
-
Principal component analysis with Lagrange multiplier 01 Nov 2020
-
Norms and machine learning 19 Oct 2019
-
Gradient descent 28 Jul 2019
perturbation theory
-
How to sum a divergent series with Pade approximation 13 Jul 2020
-
A simple example of perturbation theory 21 Jun 2020
philosophy
physics
probabilities
programming
-
Acquisition functions in Bayesian Optimization 11 Jun 2021
-
Bayesian optimization for hyperparameter tuning 08 May 2021
-
Longest substring with non-repeating characters 14 Apr 2021
-
An almost one-liner to construct the Mandelbrot set with Mathematica 01 Dec 2020
-
GitHub analytics with Mathematica 14 Oct 2020
pytorch
radiotherapy
regression
self-driving cars
social networks
statistics
-
Custom training loops with Pytorch 25 Sep 2022
-
Applications of autoencoders 17 Sep 2022
-
An introduction to Gaussian Processes 30 Mar 2021
-
Alternating direction method of multipliers and Robust PCA 15 Mar 2021
-
Principal Component Analysis limitations and how to overcome them 23 Feb 2021
-
Why is normal distribution so ubiquitous? 29 Jan 2021
-
Trainable probability distributions with Tensorflow 26 Dec 2020
-
Custom training loops and subclassing with Tensorflow 20 Dec 2020
-
A gentle introduction to kernel density estimation 08 Dec 2020
-
Principal component analysis with Lagrange multiplier 01 Nov 2020
-
Benford's law and COVID-19 conspiracy theories 21 Aug 2020
-
Bayesian connection to LASSO and ridge regression 02 Aug 2020
-
Normality tests in statistics 06 May 2020
-
Bayes theorem and likelihood ratios for diagnostic tests 19 Jan 2020