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Tansel Arif
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  • United Kingdom
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Tansel Arif liked Michael Grogan's blog post Image Recognition with Keras: Convolutional Neural Networks
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Tansel Arif's blog post was featured

Wheel Of Fortune - Bayesian Inference

PREFACEPreviously, I tackled the Gambler's Ruin problem using conditional probability and difference equations as well as visualising the simulations of the problem in a random walk style using Python/Pygame. This can be found here: …See More
Feb 17
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paul c liked Tansel Arif's blog post Gambler's Ruin simulations
Feb 7
Tansel Arif's blog post was featured

Gambler's Ruin simulations

PREFACE This article has 4 sections:Introduction: Introduction to the gambler's ruin problemMethodology: How the simulation will be carried outPseudocode: Summary of the Python CodeTheory: A summary of the theory The full code and theory can be found herehttps://github.com/TanselArif-21/GamblersRuinINTRODUCTION The Gambler’s Ruin problem frames…See More
Feb 7
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Tansel Arif updated their profile
Jan 15

Profile Information

Short Bio
4 years of software engineering experience. Mathematical modelling, Database Administration, Code optimisation, App development, Statistical Learning and Solving optimisation problems using statistical learning.
My Web Site Or LinkedIn Profile
http://https://www.linkedin.com/in/tansel-arif-phd-86264492/
Field of Expertise
Data Science, Machine Learning, Other
Professional Status
Other
Years of Experience:
4
Your Job Title:
Quantitative Consultant, Data Scientist
Interests:
Contributing, Networking

Tansel Arif's Blog

Wheel Of Fortune - Bayesian Inference

Posted on February 15, 2019 at 9:52am 0 Comments

PREFACE

Previously, I tackled the Gambler's Ruin problem using conditional probability and difference equations as well as visualising the simulations of the problem in a random walk style using Python/Pygame. This can be found here: …

Continue

Gambler's Ruin simulations

Posted on February 5, 2019 at 4:55am 0 Comments

PREFACE



This article has 4 sections:

  1. Introduction: Introduction to the gambler's ruin problem
  2. Methodology: How the simulation will be carried out
  3. Pseudocode: Summary of the Python Code
  4. Theory: A summary of the theory



The full code and theory can be found here: …

Continue

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