## Machine Learning Perspective on the Twin Prime Conjecture

This article focuses on the machine learning aspects of the problem, and the use of pattern recognition techniques leading to interesting, new

## The Inverse Problem in Random Dynamical Systems

Dynamical system used in weather prediction (see here) We are dealing here with random variables recursively defined by Xn+1 = g(Xn), with X1 being

## Orbits of Non-periodic Fourier Series: Simple Introduction, Cool Applications

These Fourier series can be considered as bivariate time series (X(t), Y(t)) where t is the time, X(t) is a weighted sum of cosine terms of

## Covid-19: Fundamental Statistics that are Ignored

This is not a discussion as to whether the data is flawed or not, or whether we are comparing apples to oranges or not (the way statistics are

## Central Limit Theorem for Non-Independent Random Variables

The original version of the central limit theorem (CLT) assumes n independently and identically distributed (i.i.d.) random variables X1, ..., Xn,

## Salary Trends for Data Scientists and Machine Learning Professionals

Source: here If you are wondering how much a data scientist earns, whether you are a hiring manager or looking for a job, there are plenty of

## More Fun Math Problems for Machine Learning Practitioners

This is part of a series featuring the following aspects of machine learning: Mathematics, simulations, benchmarking algorithms based on synthetic

## The Machine Learning Process in 7 Steps

In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you

## The Pros and Cons of Working for a Startup

As a machine learning professional, I have worked for several startups ranging from zero to 600 employees, as well as companies such as eBay, Wells

## Simple Introduction to Public-Key Cryptography and Cryptanalysis: Illustration with Random Permutations

In this article, I illustrate the concept of asymmetric key with a simple example. Rather than discussing algorithms such as RSA, (still widely

## Could Machine Learning Practitioners Prove Deep Math Conjectures?

Many of us have solid foundations in math or have an interest in learning more, and are passionate about solving difficult problems during our free

## Fun Math Problems for Machine Learning Practitioners

This is part of a series featuring the following aspects of machine learning: Mathematics, simulations, benchmarking algorithms based on synthetic

## Fascinating Facts About Complex Random Variables and the Riemann Hypothesis

Orbit of the Riemann zeta function in the complex plane (see also here) Despite my long statistical and machine learning career both in academia and

## What I Learned From 25 Years of Machine Learning

Source: here Here is what I learned from practicing machine learning in business settings for over two decades, and prior to that in the academia.