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3:14
My love letter to computer science is very short, James Mickens (Harvard University)
2019-11-14 20:46:47 O'Reilly
3:11
Controlled chaos: The inevitable marriage of DevOps and security, Kelly Shortridge (Capsule8)
2019-11-14 01:54:52 O'Reilly
2:30
The three-headed dog: Architecture, process, structure, Allen Holub (Holub Associates)
2019-11-13 02:38:29 O'Reilly
9:37
Reliability is the most important feature of any product with Lyon Wong and Ashar Rizqi (Blameless)
2019-11-13 02:13:41 O'Reilly
7:17
The challenge of deploying ML in a real-world environment with Craig Wiley (Google)
2019-11-13 01:09:16 O'Reilly
6:28
How do I start with Kubernetes in the enterprise with Karthik Gaekwad (Oracle Cloud Infrastructure)
2019-11-12 21:08:29 O'Reilly
9:37
Reliability is the most important feature of any product with Lyon Wong and Ashar Rizqi (Blameless)
2019-11-12 21:06:05 O'Reilly
11:27
Developing capabilities to cope with the new trends in software architecture with Haiyun Xu (SIG)
2019-11-12 21:03:30 O'Reilly
8:8
Understanding the wholistic reach and scope of data with Roland Scharrer (AXA)
2019-11-12 20:58:39 O'Reilly
10:17
Building AI trust for healthcare and clinical industries with Asif Hasan (Quantiphi)
2019-11-12 20:52:56 O'Reilly
7:17
The challenge of deploying ML in a real-world environment with Craig Wiley (Google)
2019-11-12 20:50:05 O'Reilly
5:40
How do we improve and integrate AI in the enterprise with Fred Reiss (IBM)
2019-11-12 20:48:52 O'Reilly
7:7
Deep learning to operationalize infrastructure with Prasad Vellanki (One Convergence)
2019-11-12 20:45:00 O'Reilly
17:8
Harnessing and fine-tuning open source ML training models with Al Kari (Manceps)
2019-11-12 20:42:35 O'Reilly
11:37
Curating machine learning services and models to enable faster adoption with Ujval Kapasi (NVIDIA)
2019-11-12 20:33:21 O'Reilly
10:42
Creating a visual interface for machine learning with Martin and Robert (PerceptiLabs)
2019-11-12 20:27:45 O'Reilly
10:2
MLIR: Accelerating AI - Chris Lattner and Tatiana Shpeisman
2019-11-11 21:29:24 O'Reilly
8:52
Personalization of Spotify Home and TensorFlow - Tony Jebara
2019-11-11 21:29:04 O'Reilly
7:49
TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow - Mike Liang
2019-11-11 21:28:42 O'Reilly
9:37
“Human Error”: How can we help people build models that do what they expect - Anna Roth
2019-11-11 21:28:11 O'Reilly
5:53
Sticker recommendation and AI-driven Innovations on Hike messaging platform - Ankur Narang
2019-11-11 21:27:39 O'Reilly
13:18
TensorFlow community announcements - Kemal El Moujahid
2019-11-11 21:27:07 O'Reilly
10:11
Enterprise-ready TensorFlow in the Cloud (sponsored by Google Cloud Platform) - Craig Wiley
2019-11-11 21:26:47 O'Reilly
5:22
TensorFlow, open source, and IBM (sponsored by IBM) - Frederick Reiss
2019-11-11 21:26:26 O'Reilly
5:22
Accelerating TensorFlow for research and deployment (sponsored by NVIDIA) - Ujval Kapasi
2019-11-11 21:25:48 O'Reilly
3:28
AI isn't magic. It’s Computer Science. - Robert Thomas (IBM), Tim O'Reilly (O'Reilly Media)
2019-11-08 20:54:59 O'Reilly
10:36
Accelerating ML at Twitter - Theodore Summe
2019-11-08 20:54:14 O'Reilly
12:34
TFX: An end-to-end ML platform for everyone - Konstantinos Katsiapis and Anusha Ramesh
2019-11-06 22:43:38 O'Reilly
12:8
The latest from TensorFlow - Megan Kacholia
2019-11-06 17:55:46 O'Reilly
14:27
TensorFlow Lite: ML for mobile and IoT devices - Sarah Sirajuddin and Jared Duke
2019-11-05 02:25:15 O'Reilly
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