Vikram Madan
Employers on the program
- 2019–2020Amazon Web Services2 talks
Events2
Conferences1
Talks2
Years active2019–2020
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | How the NFL builds computer vision training datasets at scale as AWS Machine Learning Building highly accurate labeled datasets is necessary for training high-quality machine learning (ML) models. Amazon SageMaker Ground Truth is a fully managed…Show lessBuilding highly accurate labeled datasets is necessary for training high-quality machine learning (ML) models. Amazon SageMaker Ground Truth is a fully managed data labeling service that makes it easy to accurately label large-scale datasets at a fraction of the cost. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | Build accurate training datasets with Amazon SageMaker Ground Truth as Amazon Web Services Successful machine learning models are built on high-quality training datasets. Typically, the task of data labeling is distributed across a large number of…Show lessSuccessful machine learning models are built on high-quality training datasets. Typically, the task of data labeling is distributed across a large number of humans, adding significant overhead and cost. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Lima | 2 | — | 2020 |
| Aashmeet Kalra | 2 | — | 2020 |
| Adam Wagner | 2 | — | 2020 |
| Aditya Bindal | 2 | — | 2020 |
| Adnan Hasan | 2 | — | 2020 |
| Adrian Hornsby | 2 | — | 2020 |
| Ahmed Omran | 2 | — | 2020 |
| Ajit Zadgaonkar | 2 | — | 2020 |
| Akshat Vig | 2 | — | 2020 |
| Akshay Ram | 2 | — | 2020 |
| Alex Bestavros | 2 | — | 2020 |
| Alex Casalboni | 2 | — | 2020 |
| Alex DeBrie | 2 | — | 2020 |
| Alex Wood | 2 | — | 2020 |
| Ali Saidi | 2 | — | 2020 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.