Hamza Tahir – Medium

Hamza Tahir

Hamza Tahir

Unconventional splitting techniques for time-series datasets

Be careful when time is a dimension in your dataset

Sep 14, 2022

Unconventional splitting techniques for time-series datasets

Sep 14, 2022

Hamza Tahir

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

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

Apr 7, 2022

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

Apr 7, 2022

Hamza Tahir
in
Towards Data Science

Taking on the ML pipeline challenge

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

Oct 27, 2021

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

Oct 27, 2021

Hamza Tahir
in
Towards Data Science

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

Eliminate technical debt with iterative, reproducible pipelines.

Mar 31, 2021

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

Mar 31, 2021

Hamza Tahir
in
Towards Data Science

“Spot” the difference in ML costs

Optimize ML training costs on the cloud using spot instances.

Jan 28, 2021

“Spot” the difference in ML costs

Jan 28, 2021

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.

Jan 22, 2021

A wall which says “Until debt tear us apart”

Jan 22, 2021

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.

Jan 20, 2021

Is your Machine Learning Reproducible?

Jan 20, 2021

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…

Jun 26, 2020

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

Jun 26, 2020

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…

Jun 11, 2020

Can you do the splits?

Jun 11, 2020

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…

Mar 1, 2020

Why deep learning development in production is (still) broken

Mar 1, 2020

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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