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4:13
AI and big ag data for food security - Sara Menker & Nemo Semret (Gro Intelligence)
2019-12-11 01:08:18 O'Reilly
2:2
How to deploy infrastructure in just 13.8 billion years, Ingrid Burrington (Independent)
2019-12-10 20:31:45 O'Reilly
2:46
5 things Go taught me about open source? Dave Cheney (VMWare)
2019-12-10 02:12:00 O'Reilly
2:33
From the trenches: Patrick Kua - Neal Ford (ThoughtWorks), Patrick Kua (N26
2019-12-06 01:19:12 O'Reilly
3:9
Observability: Understanding production through your customers' eyes, Christine Yen (Honeycomb)
2019-12-04 22:10:17 O'Reilly
3:9
Modern machine learning architectures, Brian Sletten (Bosatsu Consulting)
2019-12-04 03:05:00 O'Reilly
3:0
Building high-performing engineering teams, 1 pixel at a time, Lena Reinhard (CircleCI)
2019-12-03 02:47:21 O'Reilly
42:39
Better Together Diversity Lunch (sponsored by Intuit)
2019-11-25 20:22:54 O'Reilly
27:48
Better Together Diversity Networking Lunch
2019-11-25 20:21:14 O'Reilly
2:10
Cognitive biases in the architect's life, Birgitta Boeckeler (ThoughtWorks)
2019-11-15 01:48:03 O'Reilly
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
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