Moisés Martínez
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- Codemotion Madrid3 editions2016–2026
on a stage with
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Would You Let Your Phone Explain the World to You? | Codemotion Madrid 2026 | 2026-04-20 |
A mobile app built with Flutter that uses an on-device multimodal language-vision model (PaliGemma-type) to analyze camera images and generate conversational… | ||
| Tearing down AlphaStar | DevFest Málaga 2019 | 2019-12-14 |
A breakdown of DeepMind’s AlphaStar AI for StarCraft II, explaining its internal architecture and the individual components (models, modules, and training… | ||
| Building models for TPU devices | GDG DevFest Galicia 2019 | 2019-10-26 |
Shows how to train a TensorFlow model, apply 8-bit quantization, freeze and convert it to TensorFlow Lite, then compile for the Edge TPU (Coral) and deploy to… | ||
| Using Machine Learning and Not Dying Trying | Codemotion Madrid 2017 | 2017-11-24 |
An introduction to what machine learning is and which techniques exist (supervised, unsupervised, reinforcement), including key concepts like overfitting… | ||
| Entrevista a Nerea Luis y Moisés Martínez | Codemotion Madrid 2017 | 2017-11-24 |
Todos los videos de CODEMOTION 2017
https://www.youtube.com/playlist?list=PLKxa4AIfm4pWeEgciQ_898Tqzsd24lApG
Descarga gratis la versión digital del libro de… | ||
| How can AI help you? | Codemotion Madrid 2016 | 2016-11-18 |
Overview of how artificial intelligence can be applied to everyday applications, covering techniques like prediction, robotics, route planning and… | ||
| Real-time Learning with Spark | Codemotion Madrid 2016 | 2016-11-18 |
Shows how to process streaming data with Apache Spark and MLlib to perform real-time machine learning: building and updating models as new data arrives so you… | ||
| We Talk with | Codemotion Madrid 2016 | 2016-11-18 |
An interview with Moisés Martínez about real-time streaming using Apache Spark, discussing challenges in obtaining actionable information during streaming and… | ||
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