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To compile knowledge acquired by our alumni, and reach out across the world.
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Publication Vision And Guidelines
Publication Vision And Guidelines
What we seek to achieve, and what is needed to publish here
James Koh, PhD
Sep 8, 2023
Extract Structured Output from Unstructured Texts with LLM Tool-Calling
Extract Structured Output from Unstructured Texts with LLM Tool-Calling
1. INTRODUCTION
Joshua Phuong Le
Jun 19
Reinforcement Learning: Optimal Blackjack Strategies
Reinforcement Learning: Optimal Blackjack Strategies
Simulating Blackjack games to learn the optimal playing strategy using Monte Carlo and TD(λ)
Neel Modha
Jun 14
Naïve Bayes Classifier for Text Classification of Customer Reviews
Naïve Bayes Classifier for Text Classification of Customer Reviews
In this post, we will explore using the Naïve Bayes Classifier to differentiate 1-star and 5-star customer text reviews. In particular, we…
XY
Jun 13
Serverless LLMs — Diversifying from OpenAI LLMs in Azure Environment for both Personal and…
Serverless LLMs — Diversifying from OpenAI LLMs in Azure Environment for both Personal and…
I. MOTIVATION
Joshua Phuong Le
May 29
A worked example on updating weights by gradient descent
A worked example on updating weights by gradient descent
For CS610 Applied Machine Learning
James Koh, PhD
May 9
On Parameter Selection and Shrinkage
On Parameter Selection and Shrinkage
For CS610 Applied Machine Learning
James Koh, PhD
May 3
Probabilistic Generative Models — A worked example
Probabilistic Generative Models — A worked example
Introduction
James Koh, PhD
Apr 14
How to host your CV on https — starting from zero
How to host your CV on https — starting from zero
A step-by-step guide using Amazon Web Services
James Koh, PhD
Apr 3
How I Went from Engineer to Data Scientist
How I Went from Engineer to Data Scientist
I. INTRODUCTION
Joshua Phuong Le
Mar 20
Singular Value Decomposition — Explained step by step with code
Singular Value Decomposition — Explained step by step with code
What it is intuitively, with numbers to illustrate
James Koh, PhD
Feb 6
80% of Data Scientists supposedly hold a Master’s/PhD — Is It Fair As A Minimum Requirement?
80% of Data Scientists supposedly hold a Master’s/PhD — Is It Fair As A Minimum Requirement?
4 contributing factors, and what we can make of it moving forward.
James Koh, PhD
Jan 14
Reinforcement Learning: Implementing TD(λ) with function approximation
Reinforcement Learning: Implementing TD(λ) with function approximation
A unicorn of an algorithm combining the benefits of Monte Carlo, single-step Temporal Difference methods and the n-steps in between
Ruo Xi Yong
Dec 20, 2023
A Survey on Publications by Companies You Know
Technical writing on Medium by well-known organizations
James Koh, PhD
Nov 23, 2023
Doing a PhD — The 5 W’s
Doing a PhD — The 5 W’s
Who, What, When, Where, Why? Things to consider before embarking on this journey
James Koh, PhD
Nov 11, 2023
When Customer Centricity Slides into Customer Obsession
When Customer Centricity Slides into Customer Obsession
Is the customer king, are you overly obsessed with what they want? Here is my thoughts to avoid pitfalls of customer obsession.
Kelvin LEE
Nov 3, 2023
6 Established RL Models — 1 min Each
6 Established RL Models — 1 min Each
DQN | PPO | A2C | DDPG | TD3 | SAC — Intuition For Practitioners/Enthusiasts
James Koh, PhD
Oct 21, 2023
Open-Access For My Articles
Open-Access For My Articles
Will be updated regularly, so there is no wall
James Koh, PhD
Oct 17, 2023
In-The-Money Kaggle Gold — What It Brought Me?
In-The-Money Kaggle Gold — What It Brought Me?
Just a realization; nothing towards career
James Koh, PhD
Oct 11, 2023
What Is Noise (In Data Science)?
What Is Noise (In Data Science)?
From the Data Science and Engineering perspective
James Koh, PhD
Oct 3, 2023
Data Scientist Role — To Wait Or Not To Wait For?
Data Scientist Role — To Wait Or Not To Wait For?
3 points to ask yourself
James Koh, PhD
Sep 30, 2023
Change Starts with You
Change Starts with You
“Everyone has the power to model roles, and groups of people may exert the most powerful influence of all”. Lifted off this McKinsey…
Kelvin LEE
Sep 28, 2023
Key takeaways 5 (Eligibility Traces) — Sutton and Barto RL textbook
Key takeaways 5 (Eligibility Traces) — Sutton and Barto RL textbook
What you should know about the credit assignment problem, forward view λ-return and backward view TD(λ)
James Koh, PhD
Sep 26, 2023
Whistle-blowing Page (MITB For All Publication)
Whistle-blowing Page (MITB For All Publication)
For any concerns over plagiarism, technical inaccuracies, copyright violations or use of generative AI in any articles within our…
James Koh, PhD
Sep 20, 2023
Key takeaways 4 (Temporal Difference Learning) — Sutton and Barto RL textbook
Key takeaways 4 (Temporal Difference Learning) — Sutton and Barto RL textbook
What you should know about TD(0), SARSA and Q-learning
James Koh, PhD
Sep 16, 2023
Key Takeaways 3 (MC Methods) From Sutton and Barto RL textbook
Key Takeaways 3 (MC Methods) From Sutton and Barto RL textbook
What you should know about Monte Carlo Methods
James Koh, PhD
Sep 4, 2023
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