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Log-Loss

2 min read on ML

Go to the profile of Jaideep Ray
Jaideep Ray
Jan 14

Acing your ML interview #1

  • ML sys design problems cover real life scenarios — design a video recommendation service, ads ranking system, search query classifier etc.
  • The interviewer is looking for both breadth and depth. In breadth the focus is on your understanding of end-to-end ML…
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Go to the profile of Jaideep Ray
Jaideep Ray
Dec 27, 2022

Unified virtual memory for large scale ML workloads

Context:

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Go to the profile of Jaideep Ray
Jaideep Ray
Dec 24, 2022

Continuous testing for ML

Context:

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Go to the profile of Jaideep Ray
Jaideep Ray
Nov 22, 2022

Accelerating multimodal model development

  • Typical social network content has a subset of text, videos, audio, image, entities…
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Go to the profile of Jaideep Ray
Jaideep Ray
Nov 1, 2022

Understanding business models for AI companies

We are in the middle of the AI revolution. Apart from AI turbocharging…

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Go to the profile of Jaideep Ray
Jaideep Ray
Oct 24, 2022

A framework for evaluating ml automation

End-to-end ML platforms are the new kids on the block for many enterprises. They are…

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Go to the profile of Jaideep Ray
Jaideep Ray
Oct 18, 2022

Foundation models

We have seen an explosion of ML usage in the last five years across different industry tracks ranging from ads ranking, search…

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Go to the profile of Jaideep Ray
Jaideep Ray
Jul 3, 2022

Drawbacks of using AUC-ROC as measure

Context :

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Go to the profile of Jaideep Ray
Jaideep Ray
Jul 1, 2022

Testing ML Components

Introduction to ml component tests

What is a ML component ?

  • A machine learning component is an individual API or a group of APIs and utilities that implement a particular task in the model lifecycle.
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Go to the profile of Jaideep Ray
Jaideep Ray
Jun 25, 2022

Model warmup

What is it ?

  • Model runtime or execution backend determines if some or all of the initialization is…
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