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Philip (Sterling) Osborne Data

PhD Student in Artificial Intelligence

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Reinforcement Learning from Scratch: Applying Model-free Methods and Evaluating Parameters in Detail

Making Programming Easier with Keyboard Macros — Video

Learning NLP Language Models with Real Data

3 Tips to Improving Your Data Science Workflow

RL from Scratch Part 1.3: Finding the Optimal Policy 2

RL from Scratch Part 1.2: Finding the Optimal Policy 1

22nd February 201930th October 2019 osbornep2019 Posts

Reinforcement Learning from Scratch: Applying Model-free Methods and Evaluating Parameters in Detail

This project was created as a means to learn Reinforcement Learning (RL) independently in a Python notebook. Applying RL without the need of a complex, virtual environment to interact with.Continue reading

3rd February 2019 osbornep2019 Posts

Making Programming Easier with Keyboard Macros — Video

A recent video from Linus Tech Tips introduced how one of their editors uses macros for video editing. This got me thinking; can macros be easily created to improve myContinue reading

3rd February 2019 osbornep2019 Posts

Learning NLP Language Models with Real Data

Language Models (LMs) estimate the relative likelihood of different phrases and are useful in many different Natural Language Processing applications (NLP). For example, they have been used in Twitter BotsContinue reading

3rd February 20193rd February 2019 osbornep2019 Posts

3 Tips to Improving Your Data Science Workflow

These simple tips, devised from my own learning experiences, should help you improve your data science work, project management and the output when sharing with others. 1. Notebooks and Markdown NotebooksContinue reading

18th December 201818th December 2018 osbornep2018 Posts

RL from Scratch Part 1.3: Finding the Optimal Policy 2

RL from scratch v1.3 Reinforcement Learning from Scratch Part 1: Finding the Optimal Policy of an Environment Fully Defined within a Python Notebook¶ Solving an Example Task of Throwing PaperContinue reading

18th December 2018 osbornep2018 Posts

RL from Scratch Part 1.2: Finding the Optimal Policy 1

RL from scratch v1.2 Reinforcement Learning from Scratch Part 1: Finding the Optimal Policy of an Environment Fully Defined within a Python Notebook¶ Solving an Example Task of Throwing PaperContinue reading

18th December 2018 osbornep2018 Posts

RL from Scratch Part 1.1: Defining the Environment

RL from scratch v1.1 Reinforcement Learning from Scratch Part 1: Finding the Optimal Policy of an Environment Fully Defined within a Python Notebook¶ Solving an Example Task of Throwing PaperContinue reading

12th September 2018 osbornep2018 Posts

Building a Back to Uni/School Budget Computer for the First Time

Building a computer from scratch has long an ambition of mine but I was apprehensive due to my lack of knowledge when it comes to computer hardware. Instead, I haveContinue reading

21st July 2018 osbornep2018 Posts

LoL AI Model Part 3: Final Output

LoLModel_Part3 AI in Video Games: Improving Decision Making in League of Legends using Real Match Statistics and Personal Preferences¶ Part 3: Introducing Personal Preferences and Concept of Final Output¶ MotivationsContinue reading

28th June 201828th June 2018 osbornep2018 Posts

A simple Method for Tracking Code Progress in Python Notebooks

For a while now, I have often felt left in the dark when it comes to the progress of my code cells in notebooks. Therefore I wanted to find aContinue reading

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  • Reinforcement Learning from Scratch: Applying Model-free Methods and Evaluating Parameters in Detail
  • Making Programming Easier with Keyboard Macros — Video
  • Learning NLP Language Models with Real Data
  • 3 Tips to Improving Your Data Science Workflow
  • RL from Scratch Part 1.3: Finding the Optimal Policy 2

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