Hamza Tahir – Medium

Hamza Tahir

Unconventional splitting techniques for time-series datasets

Be careful when time is a dimension in your dataset

6 min readSep 14, 2022

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Unconventional splitting techniques for time-series datasets

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Hamza Tahir

‘It’s the data, silly!’ How data-centric AI is driving MLOps

The hidden link between data-centric machine learning and MLOps.

9 min readApr 7, 2022

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‘It’s the data, silly!’ How data-centric AI is driving MLOps

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Hamza Tahir
in
Towards Data Science

Taking on the ML pipeline challenge

Why data scientists need to own their ML workflows in production.

7 min readOct 27, 2021

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A data scientist who is confused how to get ML in production

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Hamza Tahir
in
Towards Data Science

Why ML should be written as pipelines from the get-go

Eliminate technical debt with iterative, reproducible pipelines.

6 min readMar 31, 2021

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Why ML should be written as pipelines from the get-go

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Hamza Tahir
in
Towards Data Science

“Spot” the difference in ML costs

Optimize ML training costs on the cloud using spot instances.

5 min readJan 28, 2021

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“Spot” the difference in ML costs

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Hamza Tahir
in
Towards Data Science

Avoiding technical debt with ML pipelines

Start thinking in terms of pipelines rather than scripts to avoid technical debt while developing ML systems.

8 min readJan 22, 2021

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A wall which says “Until debt tear us apart”

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Hamza Tahir
in
Feature Stores for ML

Is your Machine Learning Reproducible?

A breakdown of what reproducible machine learning is, why its important, and what goes into making your ML reproducible.

5 min readJan 20, 2021

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Is your Machine Learning Reproducible?

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Hamza Tahir

Why ML in production is (still) broken — [#MLOps2020]

Just a few days ago, I was able to share my thoughts on the state of Machine Learning in production, and why it’s (still) broken, on the…

5 min readJun 26, 2020

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Why ML in production is (still) broken — [#MLOps2020]

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Hamza Tahir

Can you do the splits?

One attempt to ensure that ML models generalize in unknown settings is splitting data. This can be done in many ways, from 3-way (train…

6 min readJun 11, 2020

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Can you do the splits?

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Hamza Tahir

Why deep learning development in production is (still) broken

Around 87% of machine learning projects do not survive to make it to production. There is a disconnect between machine learning being done…

3 min readMar 1, 2020

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Why deep learning development in production is (still) broken

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Hamza Tahir

Hamza Tahir

Software Engineer turned ML Engineer. Interested in building tech products end-to-end. Co-creator of PicHance, you-tldr, and ZenML.

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