Blog  Tag
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 covid19 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 physics probabilities programming radiotherapy regression selfdriving cars social networks statistics tensors vector analysis
Bayes theorem

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

The expectationmaximization algorithm  Part 1 03 Jul 2021

An introduction to Gaussian Processes 30 Mar 2021

Alternating direction method of multipliers and Robust PCA 15 Mar 2021

Why is normal distribution so ubiquitous? 29 Jan 2021

A gentle introduction to kernel density estimation 08 Dec 2020

An almost oneliner to construct the Mandelbrot set with Mathematica 01 Dec 2020

GitHub analytics with Mathematica 14 Oct 2020

Adversarial attacks on neural networks 23 Jul 2019
Principal Component Analysis

The encoderdecoder model as a dimensionality reduction technique 21 Jan 2021

Principal component analysis with Lagrange multiplier 01 Nov 2020
Python

Bayesian optimization for hyperparameter tuning 08 May 2021

Longest substring with nonrepeating characters 14 Apr 2021

A list of machinelearning questions for interviews 22 Jan 2021

The encoderdecoder 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
R language

Decision Trees: Gini index vs entropy 13 Apr 2021

Benford's law and COVID19 conspiracy theories 21 Aug 2020

Normality tests in statistics 06 May 2020
REST API
Tensorflow

The encoderdecoder 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 nonrepeating 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
covid19

Have you ever heard of anyone who became ill with Covid19? 27 Nov 2020

Benford's law and COVID19 conspiracy theories 21 Aug 2020

Common misconceptions about exponential growth 08 Apr 2020
decision trees
environment
exponential
fractals
functional programming
general relativity

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

The expectationmaximization 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 machinelearning questions for interviews 22 Jan 2021

The encoderdecoder 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

Energy considerations for training deep neural networks 14 Aug 2019

Gradient descent 28 Jul 2019

Adversarial attacks on neural networks 23 Jul 2019
mathematics

The expectationmaximization 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 oneliner to construct the Mandelbrot set with Mathematica 01 Dec 2020

Have you ever heard of anyone who became ill with Covid19? 27 Nov 2020

Principal component analysis with Lagrange multiplier 01 Nov 2020

Benford's law and COVID19 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

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 expectationmaximization 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
physics
probabilities
programming

Acquisition functions in Bayesian Optimization 11 Jun 2021

Bayesian optimization for hyperparameter tuning 08 May 2021

Longest substring with nonrepeating characters 14 Apr 2021

An almost oneliner to construct the Mandelbrot set with Mathematica 01 Dec 2020

GitHub analytics with Mathematica 14 Oct 2020
radiotherapy
regression
selfdriving cars
social networks
statistics

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 COVID19 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