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Andreas Stöffelbauer

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Data Science at Microsoft

How Large Language Models Work

From zero to ChatGPT

Oct 24, 2023

How Large Language Models Work

Oct 24, 2023

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TDS Archive

From Linear Algebra to Deep Learning in 7 Books (Winter 2024 Update)

Seven of my Favourite Machine Learning Books

Nov 17, 2023

From Linear Algebra to Deep Learning in 7 Books (Winter 2024 Update)

Nov 17, 2023

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Data Science at Microsoft

Causal inference using synthetic controls

How to estimate causal effects using Machine Learning instead of A/B testing

Apr 11, 2023

Causal inference using synthetic controls

Apr 11, 2023

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TDS Archive

Intro to DeepMind’s Reinforcement Learning Framework “Acme”

How to Implement RL Agents with Acme

Jun 20, 2021

Intro to DeepMind’s Reinforcement Learning Framework “Acme”

Jun 20, 2021

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TDS Archive

Intellectual Property Rights for Data Scientists

IP Law 101, so to say

Sep 9, 2020

Intellectual Property Rights for Data Scientists

Sep 9, 2020

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TDS Archive

TensorFlow vs PyTorch for Deep Learning

Here’s what coding Deep Neural Networks in TensorFlow and PyTorch looks like

Feb 2, 2020

TensorFlow vs PyTorch for Deep Learning

Feb 2, 2020

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TDS Archive

Generalization, Regularization, Overfitting, Bias and Variance in Machine Learning

How these five Terms define the “Learning” in Machine Learning

Dec 26, 2019

Generalization, Regularization, Overfitting, Bias and Variance in Machine Learning

Dec 26, 2019

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TDS Archive

Linear Algebra to Deep Learning in 5 Books

My Favorite Books for Learning Machine Learning

Nov 29, 2019

Linear Algebra to Deep Learning in 5 Books

Nov 29, 2019

Andreas Stöffelbauer

Andreas Stöffelbauer

Data Scientist @ Microsoft | Guest Teacher @ London School of Economics (LSE)

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