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MITB For All
Tech contents related to AI, Analytics, Fintech, and Digital Transformation. Written by MITB Alumni; open-access for everyone.
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Data Science
Neel Modha
in
MITB For All
Jun 14
Reinforcement Learning: Optimal Blackjack Strategies
Simulating Blackjack games to learn the optimal…
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9
James Koh, PhD
in
MITB For All
Aug 8, 2023
Intuition Behind Probabilities From Supervised Learning
Understanding the underlying principles, going…
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270
2 responses
James Koh, PhD
in
MITB For All
Apr 14
Probabilistic Generative Models — A worked example
Introduction
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29
Joshua Phuong Le
in
MITB For All
Mar 20
How I Went from Engineer to Data Scientist
I. INTRODUCTION
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16
1 response
James Koh, PhD
in
MITB For All
Feb 6
Singular Value Decomposition — Explained step by step with code
What it is intuitively, with numbers…
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81
James Koh, PhD
in
MITB For All
Jan 14
80% of Data Scientists supposedly
hold a Master’s/PhD — Is It Fair As A Minimum Requirement?
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181
1 response
Ruo Xi Yong
in
MITB For All
Dec 20, 2023
Reinforcement Learning: Implementing TD(λ) with function approximation
A unicorn of an algorithm…
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46
2 responses
James Koh, PhD
in
MITB For All
Oct 21, 2023
6 Established RL Models — 1 min Each
DQN | PPO | A2C | DDPG | TD3 | SAC — Intuition For…
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135
1 response
James Koh, PhD
in
MITB For All
Oct 11, 2023
In-The-Money Kaggle Gold — What It Brought Me?
Just a realization; nothing towards career
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178
4 responses
James Koh, PhD
in
MITB For All
Oct 3, 2023
What Is Noise (In Data Science)?
From the Data Science and Engineering perspective
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130