How To Turn Your Code from Good to Great — Contents 1. Introduction 2. R + RStudio 3. Python + VSCode 4. Conclusion 5. More Resources 1. Introduction Modern day programmers write a lot of code. That’s part of the job. But one of the main principles of writing good code is the DRY principle: Don’t Repeat Yourself (see The DRY Principle: R…

Your mental models can both assist and limit your perceptions of the world, especially when you meet a person for the first time — Our mental models are deeply engrained images of how we see the world and how we react in different scenarios and situations (McShane, Travaglione & Olekalns 2010, p. 91; Senge 2006, p. 164). When I meet someone for the first time, my mental models greatly influence my perceptions of them…

A Review of the Historic, Modern, and Future Applications of this Special Form of Machine Learning — Contents 1. Introduction 2. Historic Developments (pre 1992) — 2.1. Concurrent Developments — — 2.1.1. Learning by Trial and Error — — 2.1.2. The Problem of Optimal Control — — 2.1.3. Temporal Difference Learning Methods — 2.2. Combined Developments 3. Modern Developments (Post 1992) — 3.1. Developments in Board Games — 3.2. Developments in…

A Visual Data Exploration Research Project to Better Understand the Nuances of Our Global Nutrition — Contents This is Part 1 of an 8-Part research project aiming to better understand the nuances of our global nutrition. It explores this topic through the utilisation of data visualisation and data science techniques. It is complimented by a Web App: ExploringUndernourishment, which is freely available to the public.

Take a Look Under The Hood of Neural Network Architecture: Design and Build a Neural Network, from Scratch, in R, without using any Deep Learning Frameworks or Packages — Special thanks to: Alex Scriven Contents: 1. Introduction 2. Background 3. Semantics 4. Set Up 5. Get Data 6. Check Data 7. Prepare the Data 8. Instantiate the Network 9. Initialise the Network 10. Forward Propagation 11. Calculate the Cost 12. Backward Propagation 13. Update Model Parameters 14. Run the Model End-to-End 15. Create Prediction 16. Conclusion 17. Post Script…

A Visual Data Exploration Research Project to Better Understand the Nuances of Our Global Nutrition — Contents This is Part 8 of an 8-Part research project aiming to better understand the nuances of our global nutrition. It explores this topic through the utilisation of data visualisation and data science techniques. It is complimented by a Web App: ExploringUndernourishment, which is freely available to the public.

A Visual Data Exploration Research Project to Better Understand the Nuances of Our Global Nutrition — Contents This is Part 7 of an 8-Part research project aiming to better understand the nuances of our global nutrition. It explores this topic through the utilisation of data visualisation and data science techniques. It is complimented by a Web App: ExploringUndernourishment, which is freely available to the public.