Your mental models can both assist and limit your perceptions of the world, especially when you meet a person for the first time

A man underneath a chalkboard with gears drawn on it.

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…

Thoughts and Theory

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.

Part 1…

I like it 😊 Good work!

Perhaps a little philosophical at times. But still a nice Blog. Made me laugh quite a few times!

If you do choose to publish, I encourage you to remove the parts about 'deadline' and 'assessment' etc. Mr Joe Public doesn't need to know about those bits.

I like it 😊 Great work!

Try adding some headings 😉 It'll help guide the reader along.

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.

Part 1…

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.

Part 1…

A Visual Data Exploration Research Project to Better Understand the Nuances of Our Global Nutrition

Contents

This is Part 6 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.

Part 1…

Chris Mahoney

I’m a keen Data Scientist and Business Leader, interested in Innovation, Digitisation, Best Practice & Personal Development. Check me out: chrimaho.com

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