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
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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
A Simple Regression Problem
This article is part of a new series featuring problems with solution, to help you hone your machine learning and pattern recognition skills. Try to
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.