Marysia Winkels
Employers on the program
- 2025Cohere1 talk
- 2022–2023GoDataDriven3 talks
- 2019Aidence1 talk
Appearances by year
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 24, 2025 | PyData Amsterdam 2025 | PyData | talk | Help! There Are Humans in My Data! as Cohere Good quality data is the basis for high quality models and valuable data insights. But isn't it annoying how often your data is riddled with those pesky humans? | Video |
| Jun 2, 2023 | PyData London 2023 | PyData | talk | Data Storytelling through Visualization as GoDataDriven Data is everywhere. It is through analysis and visualization that we are able to turn data into information that can be used to drive better decision making. | |
| Dec 2, 2022 | PyData Eindhoven 2022 | PyData | talk | Data Storytelling through Visualization as GoDataDriven Data is everywhere. It is through analysis and visualization that we are able to turn data into information that can be used to drive better decision making. | Video |
| Jun 17, 2022 | PyData London 2022 | PyData | talk | Models schm-odels: why you should care about Data-Centric AIData Centric AI is the term coined by AI pioneer Andrew Ng for the movement that argues we shift our focus towards iterating on our data instead of models to…Show lessData Centric AI is the term coined by AI pioneer Andrew Ng for the movement that argues we shift our focus towards iterating on our data instead of models to improve machine learning predictions. But isn't this what we have always done? | |
| Apr 11, 2022 | PyCon DE & PyData Berlin 2022 | PyData | tutorial | (Serious) Time for Time Series as GoDataDriven From inventory to website visitors, resource planning to financial data, time-series data is all around us. Knowing what comes next is key to success in this…Show lessFrom inventory to website visitors, resource planning to financial data, time-series data is all around us. Knowing what comes next is key to success in this dynamically changing world. | |
| Oct 9, 2019 | PyCon DE & PyData Berlin 2019 | PyData | talk | Equivariance in CNNs: how generalising the weight-sharing property increases data-efficiency as Aidence Equivariance in CNNs: how generalising the weight-sharing property increases data-efficiency |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alexander CS Hendorf | 4 | — | 2023 |
| Cheuk Ting Ho | 4 | — | 2023 |
| Valerio Maggio | 4 | — | 2023 |
| Vincent Warmerdam | 3 | — | 2025 |
| James Powell | 3 | — | 2023 |
| Theodore Meynard | 3 | — | 2023 |
| Adam Hill | 2 | — | 2025 |
| Benjamin Bossan | 2 | — | 2025 |
| Wesley Boelrijk | 2 | — | 2025 |
| Ade Idowu | 2 | — | 2023 |
| Ian Ozsvald | 2 | — | 2023 |
| Jim Dowling | 2 | — | 2023 |
| Laszlo Sragner | 2 | — | 2023 |
| Natan Mish | 2 | — | 2023 |
| Pedro Tabacof | 2 | — | 2023 |
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.