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49:58
AI, ML & Data Engineering Follow 706 Followers

Data Pipelines for Real-time Fraud Prevention at Scale

Posted by Mikhail Kourjanski  on  May 23, 2018 Posted by Mikhail Kourjanski Follow 1 Followers  on  May 23, 2018

Mikhail Kourjanski discusses the architecture of PayPal’s data service which combines a Big Data approach with providing data in real time for decision making in fraud detection.

37:05
AI, ML & Data Engineering Follow 706 Followers

pDB: Scalable Prediction Infrastructure with Precision and Provenance

Posted by Balaji Rengarajan  on  May 23, 2018 Posted by Balaji Rengarajan Follow 0 Followers  on  May 23, 2018

Balaji Rengarajan describes the platform built on the Celect’s pDB framework, providing multiple use cases such as online personalization, document classification, and geospatial anomaly detection.

35:56
AI, ML & Data Engineering Follow 706 Followers

Self-racing Using Deep Neural Networks: Lap 2

Posted by Jendrik Joerdening  on  May 23, 2018 Posted by Jendrik Joerdening Follow 1 Followers , Anthony Navarro Follow 1 Followers  on  May 23, 2018

Jendrik Joerdening, Anthony Navarro discuss how a team of Udacity students used neural networks to teach in two days a car drive by itself around a track.

50:45
AI, ML & Data Engineering Follow 706 Followers

The Black Swan of Perfectly Interpretable Models

Posted by Mayukh Bhaowal  on  May 22, 2018 Posted by Mayukh Bhaowal Follow 0 Followers , Leah McGuire Follow 0 Followers  on  May 22, 2018

Mayukh Bhaowal, Leah McGuire discuss how Salesforce Einstein made ML more transparent and less of a black box, and how they managed to drive wider adoption of ML.

57:37
Java Follow 792 Followers

Java at Speed

Posted by Gil Tene  on  May 18, 2018 Posted by Gil Tene Follow 11 Followers  on  May 18, 2018

Gil Tene talks about getting the most of Java applications and understanding some of the optimizations the latest crop of JVMs are able to apply when running on the latest servers.

39:20
Architecture & Design Follow 1760 Followers

Consensus: Why Can't We All Just Agree?

Posted by Heidi Howard  on  May 18, 2018 Posted by Heidi Howard Follow 1 Followers  on  May 18, 2018

Heidi Howard takes a journey though the history of consensus, and looks ahead to the future of distributed consensus.

47:03
Development Follow 508 Followers

Fast, Flexible and Functional Programming with OCaml

Posted by Gemma Gordon  on  May 18, 2018 Posted by Gemma Gordon Follow 0 Followers , Anil Madhavapeddy Follow 0 Followers  on  May 18, 2018

Gemma Gordon and Anil Madhavapeddy give a brief history of OCaml, and explain how they are unlocking its potential in the “new” world of browsers and IoT.

34:46
Development Follow 508 Followers

C++ for Real-Time Communications in the Cloud

Posted by Thiya Ramalingam  on  May 16, 2018 1 Posted by Thiya Ramalingam Follow 0 Followers  on  May 16, 2018 1

Thiya Ramalingam talks about what Zoom’s platform engineers have learned over the years from running a complete C++ stack in their back-end service.

37:05
Development Follow 508 Followers

From Rocks to Rust: Our C to Rust Paradigm Shift

Posted by Esther Momcilovic  on  May 16, 2018 Posted by Esther Momcilovic Follow 0 Followers  on  May 16, 2018

Esther Momcilovic talks about the reasons why Metaswitch chose Rust, and what it’s been like for the development teams getting to grips with this language.

46:01
Development Follow 508 Followers

Rust 2018: An Epochal Release!

Posted by Steve Klabnik  on  May 16, 2018 Posted by Steve Klabnik Follow 0 Followers  on  May 16, 2018

Steve Klabnik talks about where Rust is now, what new features are coming down the pipeline, how it's all being managed, and how this affects Rust's development in the future.

32:58
AI, ML & Data Engineering Follow 706 Followers

Counting is Hard: Probabilistic Algorithms for View Counting at Reddit

Posted by Krishnan Chandra  on  May 15, 2018 Posted by Krishnan Chandra Follow 0 Followers  on  May 15, 2018

Krishnan Chandra explains the challenges of building a view counting system at scale, and how Reddit used probabilistic counting algorithms to make scaling easier.

46:19
AI, ML & Data Engineering Follow 706 Followers

Developing Data and ML Pipelines at Stitch Fix

Posted by Jeff Magnusson  on  May 15, 2018 Posted by Jeff Magnusson Follow 0 Followers  on  May 15, 2018

Jeff Magnusson discusses thoughts and guidelines on how Stitch Fix develops, schedules, and maintains their data and ML pipelines.

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