Blog - Amir Masoud Sefidian, Data Science, Machine Learning, Artificial Intelligence, Deep Learning, Data Analysis

2022-01-23

Understanding AdaBoost algorithm and its mathematics

14 mins read If you’re going through this tutorial, you’ve probably heard of XGBoost, LightGBM, or something of those sorts before. These are […]

2022-01-11

Theory of Generalization: growth function, dichotomies, and break points

15 mins read The size of our data set N plays a major role when it comes to the reliability of the generalization Ein […]

2022-01-01

Mathematical view of Bias-Variance trade-off

6 mins read The bias-variance trade-off is an important concept in statistics and machine learning. This is used to get better performance out […]

2021-12-26

Walk-forward optimization for algorithmic trading strategies on cloud architecture

11 mins read Table of Contents: Introduction Terminology Walk-forward Optimization Design of walk-forwards The Architecture Configuring cloud machines using Ansible Docker Swarm Optimization […]

2021-12-19

Understanding stdin, stdout, and stderr in Linux

11 mins read stdin, stdout, and stderr are three data streams created when you launch a Linux command. You can use them to tell if your […]

2021-12-19

What is a Makefile?

27 mins read If you want to run or update a task when certain files are updated, the make utility can come in handy. The make utility […]

2021-12-17

Useful sed command use cases in Linux

8 mins read In this article, we will review sed, the well-known stream editor, and share 15 tips to use it in order […]

2021-12-17

Shebang in Linux Shell Scripting

6 mins read You’ll often come across shell scripts that start with: This #! is called shebang or hashbang. The shebang plays an important role […]

2021-12-12

Useful keyboard shortcuts for Linux Bash

5 mins read The bash shell features a wide variety of keyboard shortcuts you can use. These will work in bash on any […]

2021-12-10

Understanding Gaussian Process

79 mins read Gaussian Process is a machine learning technique. You can use it to do regression, classification, among many other things. Being […]

2021-12-10

Docker Swarm tutorial along with code

29 mins read Table of Content • Your first Swarm cluster • Your first Swarm deployment • Explore the stack • Set up […]

2021-12-04

Steps to sample from a multivariate Gaussian (Normal) distribution with Python code

2 mins read Steps: A widely used method for drawing (sampling) a random vector x from the N-dimensional multivariate normal distribution with mean vector μ and covariance matrix Σ works as […]

2021-11-29

Solving six problems with Bayesian statistics

8 mins read 1) The first one is a warm-up problem. Suppose there are two full bowls of cookies. Bowl #1 has 10 […]

2021-11-21

Difference between Maximum Likelihood Estimation (MLE) and Maximum A Posteriori (MAP)

4 mins read Maximum Likelihood Estimation (MLE) and Maximum A Posteriori (MAP), are both methods for estimating variable from probability distributions or graphical […]

2021-11-20

Understanding Expectation-Maximization (EM) algorithm with an example in Python

7 mins read Suppose we have some data sampled from two different groups, red and blue: Here, we can see which data point […]