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47:17
Architecture & Design Follow 2128 Followers

Cluster Consensus: When Aeron Met Raft

Posted by Martin Thompson  on  Jun 28, 2018 Posted by Martin Thompson Follow 26 Followers  on  Jun 28, 2018

Martin Thompson explains how consensus algorithms operate and the techniques that can be applied to make them efficient. Thompson covers the mechanics of a working consensus system.

32:58
AI, ML & Data Engineering Follow 875 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.

44:37
Development Follow 611 Followers

Category Theory for the Working Hacker

Posted by Philip Wadler  on  Mar 20, 2018 Posted by Philip Wadler Follow 5 Followers  on  Mar 20, 2018

Philip Wadler explains why category theory is of interest for developers & how categories model three basic data types: products (logical and), sums (logical or), and functions (logical implication).

51:44
Development Follow 611 Followers

Evolve with Genetic Algorithms

Posted by Charlie Koster  on  Jan 04, 2018 1 Posted by Charlie Koster Follow 1 Followers  on  Jan 04, 2018 1

Charlie Koster introduces genetic algorithms, what they are, what they are useful for, and demonstrates code that shows how to create and use them.

43:21
AI, ML & Data Engineering Follow 875 Followers

Best Trade-off Point Algorithm for Efficient Resource Provisioning in Hadoop

Posted by Peter Nghiem  on  Oct 28, 2017 Posted by Peter Nghiem Follow 0 Followers  on  Oct 28, 2017

Peter Nghiem presents the Best Trade-off Point method and algorithm with mathematical formulas for obtaining the exact optimal number of task resources for any workload running on Hadoop.

43:00
Architecture & Design Follow 2128 Followers

What Came First: The Ordering of Events in Systems

Posted by Kavya Joshi  on  Oct 05, 2017 Posted by Kavya Joshi Follow 5 Followers  on  Oct 05, 2017

Kavya Joshi explores the beautifully simple happens-before principle and delves into how happens-before is tracked in a distributed database like Riak.

49:47
Architecture & Design Follow 2128 Followers

Architecture & Algorithms Powering Search @ZocDoc

Posted by Brian D'Alessandro  on  Sep 04, 2017 Posted by Brian D'Alessandro Follow 0 Followers , Pedro Rubio Follow 0 Followers  on  Sep 04, 2017

Brian D'Alessandro and Pedro Rubio talk about the patient friendly search system they have built at Zocdoc using various products from the AWS stack and custom Machine Learning pipelines.

30:19
Development Follow 611 Followers

Load Balancing is Impossible

Posted by Tyler McMullen  on  Dec 31, 2016 5 Posted by Tyler McMullen Follow 1 Followers  on  Dec 31, 2016 5

Tyler McMullen discusses load balancing techniques and algorithms such as Randomized Least-conns, Join-Idle-Queue, and Load Interpretation.

45:02
Development Follow 611 Followers

Algorithms for Animation

Posted by Courtney Hemphill  on  Oct 02, 2016 Posted by Courtney Hemphill Follow 0 Followers  on  Oct 02, 2016

Courtney Hemphill walks through the basic principles of animation design and the simple formulas that can be used to create robust animations.

46:31
Development Follow 611 Followers

Unorthodox Paths to High Performance

Posted by Alex Rasmussen  on  Aug 21, 2016 Posted by Alex Rasmussen Follow 0 Followers  on  Aug 21, 2016

Alex Rasmussen examines some lessons learned while building record-setting sorting systems at UC San Diego.

34:07
Architecture & Design Follow 2128 Followers

Distributed Consensus: Making the Impossible Possible

Posted by Heidi Howard  on  Jun 28, 2016 Posted by Heidi Howard Follow 1 Followers  on  Jun 28, 2016

Heidi Howard explores how to construct resilient distributed systems on top of unreliable components. Howard discusses which algorithms are best suited to different situations.

32:32
AI, ML & Data Engineering Follow 875 Followers

Detecting Anomalies in Streaming Data, Evaluating Algorithms for Real-World Use

Posted by Alexander Lavin  on  Jun 01, 2016 Posted by Alexander Lavin Follow 0 Followers  on  Jun 01, 2016

Alexander Lavin introduces the Numenta Anomaly Benchmark (NAB), a framework for evaluating anomaly detection algorithms on streaming data.

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