Interesting Resources

This article consists of lists of resources I have found interesting. Topics include data science, machine learning, software engineering, gaming and 3D graphics and it will be occasionally updated.

Articles

Data Science

1. How to Calculate Bootstrap Confidence Intervals For Machine Learning Results in Python
2. Using Silhouette analysis for selecting the number of cluster for K-means clustering (Part 2) by kapildalwani
3. K-means Clustering: Algorithm, Applications, Evaluation Methods, and Drawbacks by Imad Dabbura
4. How to use k-means clustering for more features
5. DBSCAN clustering for data shapes k-means can’t handle well by Gabriel Pierobon
6. DBSCAN Python Example: The Optimal Value For Epsilon (EPS) by Cory Maklin
7. Team Data Science Process Documentation (TDSP) by Microsoft Azure’s blog
8. Data Science Life Cycle 101 for Dummies like Me by Sangeet Moy Das
9. Structured-Case: A Methodological Framework for Building Theory in Information Systems Research by Paul Anthony Swatman
10. What data scientists need to know about DevOps
11. The 5 Feature Selection Algorithms every Data Scientist should know
12. 5 Regression Loss Functions All Machine Learners Should Know
13. Deploy a Machine Learning Model as a Web Application (Part 1)
14. About Train, Validation and Test Sets in Machine Learning
15. A Simple Introduction to K-Nearest Neighbors Algorithm
16. Cost-Sensitive Decision Trees for Imbalanced Classification
17. A Guide to Decision Trees for Machine Learning and Data Science

Software Engineering

1. Software Design Principles

DevOps

1. Docker Overview
2. Docker Orientation and Set Up
3. Continuous integration and delivery
4. GitLab Continuous Integration (CI) & Continuous Delivery (CD)
5. Building Docker images with GitLab CI/CD
6. Install GitLab Runner
7. Install GitLab Runner manually on GNU/Linux
8. Configuring GitLab Runners
9. Getting started with GitLab CI/CD
10. GitLab CI: Pipelines, CI/CD and DevOps for Beginners

Books

Forecasting

1. Forecasting: Principles and Practice book by Rob J Hyndman and George Athanasopoulos
2. Introduction to Machine Leaning with Python by Andreas C. Müller, Sarah Guido

Online Courses

Software Engineering

1. GitLab CI: Pipelines, CI/CD and DevOps for Beginners

Videos