Dhruv Nair

#Machine Learning

Estimating Uncertainty in Machine Learning Models — Part 3

Dhruv Nair | October 18, 2019

Check out part 1 (here)and part 2 (here) of this series In the last part of our series on uncertainty estimation, we addressed the limitations of approaches like bootstrapp...

#Machine Learning

Estimating Uncertainty in Machine Learning Models – Part 2

Dhruv Nair | October 18, 2019

You can check out part 1 of this series here In part 1 of this series, we discussed the sources of uncertainty in machine learning models, and techniques to quantify u...

#Machine Learning

Estimating Uncertainty in Machine Learning Models — Part 1

Dhruv Nair | October 18, 2019

“We demand rigidly defined areas of doubt and uncertainty!” - Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why is uncertainty important? Let’s imag...

#Machine Learning

ICLR Reproducibility Interview #2: Arnout Devos, Sylvain Chatel, Matthias Grossglauser

Dhruv Nair | October 18, 2019

R2D2 Meta-Learning Method. Full paper here Interview by Cecelia Shao The ...

#Machine Learning

Part II: Manual Feature Engineering techniques for the Kaggle Home Credit Default Competition

Dhruv Nair | October 18, 2019

Our second post in this series, where the Comet.ml team competes to win the Kaggle Home Credit Def...

#Machine Learning

Part I: Conducting Exploratory Data Analysis (EDA) for the Kaggle Home Credit Default Competition

Dhruv Nair | October 18, 2019

Follow along as the Comet.ml team competes to win the Kaggle Home Credit Default Competition�...

#Machine Learning

Using fastText and Comet.ml to classify relationships in Knowledge Graphs

Dhruv Nair | October 18, 2019

TLDR: In this post, we will examine how a simple model, fastText, learns to represent entities in a subset of the FB15K kn...

More articles for this author

Estimating Uncertainty in Machine Learning Models — Part 3

Estimating Uncertainty in Machine Learning Models – Part 2

Estimating Uncertainty in Machine Learning Models — Part 1

ICLR Reproducibility Interview #2: Arnout Devos, Sylvain Chatel, Matthias Grossglauser

Part II: Manual Feature Engineering techniques for the Kaggle Home Credit Default Competition

Part I: Conducting Exploratory Data Analysis (EDA) for the Kaggle Home Credit Default Competition

Using fastText and Comet.ml to classify relationships in Knowledge Graphs

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