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28:0
Hosting Notebooks for 100,000 Users - Scott Sanderson
2018-04-26 21:57:35 O'Reilly
26:19
Flipping the classroom with Jupyter and Github - Ryan Cooper
2018-04-24 23:47:42 O'Reilly
20:53
Supporting Reproducibility in Jupyter through Dataflows - David Koop
2018-04-23 20:00:21 O'Reilly
4:38
Automating decisions with Data in the Cloud - Amr Awadallah (Cloudera)
2018-04-19 21:59:16 O'Reilly
40:6
State of Jupyter - Matthias Bussonnier
2018-04-17 19:50:21 O'Reilly
25:17
From Data Exploration to Modeling to Deployment - Roope Astala
2018-04-13 00:08:16 O'Reilly
22:8
Visualizing machine learning algorithms in the Jupyter notebook - Chakri Cherukuri
2018-04-11 19:46:29 O'Reilly
23:55
Deep Learning and Deep Integration via Jupyter - Douglas Blank
2018-04-10 21:38:12 O'Reilly
26:54
Citizen Data Science campaign - Dave Stuart
2018-04-09 21:05:08 O'Reilly
26:26
Building analytical microservices powered by Jupyter Kernels - Luciano Resende and Kevin Bates
2018-04-06 21:00:12 O'Reilly
23:9
Accelerate the Machine Learning Pipeline on Very Large Datasets - Aaron Williams
2018-04-04 21:08:20 O'Reilly
17:33
Building cloud-native applications with Kubernetes and Istio, by Kelsey Hightower
2018-04-04 00:29:55 O'Reilly
2:55
Events on the Outside, on the Inside, and at the Core - Chris Richardson
2018-04-03 23:28:32 O'Reilly
4:16
JD.com security intelligence and analytics: From big data to big impact - Tony Lee (JD.com)
2018-04-03 00:07:53 O'Reilly
3:19
Turning Request-response on its Head - Cornelia Davis (Pivotal)
2018-03-30 21:59:10 O'Reilly
5:21
What Separates the Clouds? - William Vambenepe (Sponsored by Google Cloud)
2018-03-30 01:10:16 O'Reilly
2:35
Crisis Text Line Data Usage and Insights - Nancy Lublin & Bob Filbin (Crisis Text Line)
2018-03-27 20:08:34 O'Reilly
3:57
Defining Responsible Data Practices: A Community-Driven Approach - Natalie Evans Harris (BrightHive)
2018-03-22 19:31:11 O'Reilly
6:26
Accelerate Application Delivery with a Cloud-Native Mindset (Sponsored by IBM) - Andrew Hately
2018-03-22 00:32:48 O'Reilly
3:23
Inclusivity for the Greater Good - Ajey Gore (GO-JEK)
2018-03-21 19:02:59 O'Reilly
5:7
Operationalizing Machine Learning - Dinesh Normal (Sponsored by IBM)
2018-03-20 23:42:34 O'Reilly
3:13
Data Science in the Cloud - Alex Smola (Amazon)
2018-03-19 20:46:55 O'Reilly
3:22
Privacy in the Age of Machine Learning - Ben Lorica (O'Reilly Media)
2018-03-16 02:08:19 O'Reilly
13:40
Scale, security, and blockchain with René Bostic (IBM Cloud)
2018-03-15 00:02:06 O'Reilly
11:20
Abstracting infrastructure away from developers with Peter-Mark Verwoerd (Google Cloud)
2018-03-14 23:56:47 O'Reilly
14:1
Creating tools to cross machines and networks with Viktor Klang (Lightbend)
2018-03-14 23:52:04 O'Reilly
8:15
Incremental scale in the cloud with Tobias Ternstrom (Microsoft)
2018-03-14 23:40:01 O'Reilly
6:37
Latency-free queries for interactive response times with Eric Hanson (MemSQL)
2018-03-14 23:31:50 O'Reilly
8:56
Building data fabrics to stretch across AI and machine learning with Jack Norris (MapR)
2018-03-14 22:52:13 O'Reilly
11:1
Fluid machine learning that is always on and always learning with Dinesh Nirmal (IBM)
2018-03-14 22:48:05 O'Reilly
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