- Presentations
- Documents
- Infographics
Deep learning on mobile - 2019 Practitioner's Guide
Anirudh Koul
•
4 years ago
Where Flux and InfluxDB Are Headed | Paul Dix | InfluxData
InfluxData
•
4 years ago
Wenyuan xu Minrui yan can you trust autonomous vehicles_slides_liu_final
PacSecJP
•
7 years ago
CSW2017 Minrui yan+Jianhao-liu a visualization tool for evaluating can-bus cybersecurity
CanSecWest
•
7 years ago
Testing CAN network with help of CANToolz
Alexey Sintsov
•
8 years ago
Deep Learning with Python (PyData Seattle 2015)
Alexander Korbonits
•
8 years ago
Getting Started with Geospatial Data in MongoDB
MongoDB
•
6 years ago
Photogrammetry- Surveying
Gokul Saud
•
8 years ago
Räumliche Analyse & Visualisierung von Mietpreisdaten für Immobilienportale
Dr. Harald Schernthanner
•
8 years ago
Einfache Heimautomatisierung auf dem Raspberry Pi mit Python
Thomas Koch
•
7 years ago
Apache Superset at Airbnb
Bill Liu
•
6 years ago
Understanding Random Forests: From Theory to Practice
Gilles Louppe
•
9 years ago
MapReduce & Apache Hadoop
Oliver Fischer
•
14 years ago
AWS Initiate Berlin - Maschinelles Lernen - Chancen, Werkzeuge und Beispiel-Anwendungen für öffentliche Einrichtungen
Amazon Web Services
•
6 years ago
Wearables and IoT Strategy
AllSeen Alliance
•
8 years ago
GRPUG Shapely Presentation by Ben DeMott
Ben DeMott
•
11 years ago
OpenStreetMap in 3D using Python
Martin Christen
•
8 years ago
3d mit Python (PythonCamp)
Martin Christen
•
9 years ago
Big Python
Andreas Schreiber
•
9 years ago