Netflix Tech

JANUARY 31, 2019

by Richard Cool Netflix has over 139M members streaming on more than half a billion devices spanning over 1,700 different types of devices from hundreds of brands. This diverse device ecosystem results in a high dimensionality feature space, often with sparse data, and can make identifying device performance issues challenging. Identifying ways to scale solutions in this space is vital as the ecosystem continues to grow both in volume and diversity.

Electronics 86

Electronics Entertainment Machine Learning Engineering 86

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Western Union and IQVIA to name just a couple — CDSW is now also ready to help Hortonworks customers accelerate the delivery of new data products through secure, collaborative data science at scale.

Data Science 77

Data Science Machine Learning Scala Government 77

Zalando Engineering

JANUARY 30, 2019

Shared language and visualizing to deliver great products *Football is an environment with changing variables that players and coaches need to react to. Teams attempt to move the ball down the field by running or passing in a set number of plays. *If you’ve ever watched a football game you will see coaches holding a subset of plays from the coach’s playbook they think may work for the game they are playing.

Designing 40

Designing Building IT Management 40

Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Building 53

Building Data 53

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data

Netflix Tech

JANUARY 31, 2019

By Gang Su & Ian Yohai From living rooms in Bogota, to morning commutes in Tokyo, to beaches in Los Angeles and dorms in Berlin, Netflix strives to bring joy to over 139 million members around the globe and connect people with stories they’ll love. Every bit of the customer experience is imbued with innovation, right from the very first encounter with Netflix during the signup process?

Healthcare 83

Healthcare Process Accessible Accessibility 83

Data Engineering Podcast

JANUARY 28, 2019

Summary Controlling access to a database is a solved problem… right? It can be straightforward for small teams and a small number of storage engines, but once either or both of those start to scale then things quickly become complex and difficult to manage. After years of running across the same issues in numerous companies and even more projects Justin McCarthy built strongDM to solve database access management for everyone.

Accessible 100

Accessible Accessibility Database Management 100

Teradata

JANUARY 31, 2019

Atif Kureishy explores how to fill the artificial intelligence skills gap.

49

49

Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Building 40

Building Data 40