Spotify: A Product Story

04: Human vs Machine

Mar 31, 2021

48:38

Creator website

Episode guests

Andrew Ng

Highlights

AI Chapters

Episode notes

The Genius Behind Matrix Computation

00:32

The Importance of Creating True Machine Learning First Products

00:41

Moving Beyond Baseline Machine Learning with Reinforcement Learning at Spotify

00:24

Building a Product That Recommends New Music

02:37

Introduction

5min

Building a Product That Recommends New Music

3min

How to Make Machine Learning Work for You

5min

Creating Machine Learning First Products

3min

What Are the Components of Describe Music?

3min

The Evolution of Machine Learning - Discover Weekly

4min

Machine Learning and AI - What's Next?

5min

The Human in the Loop

5min

Algorithms Aren't Scalable, but They Scale Incredibly Well

1min

10.

Music Editing - Is There a Better Way to Personalize Music Data?

2min

11.

What Is Song to Sing in the Car?

2min

12.

Machine Learning and Algoritmic Plus Editorial

3min

13.

Machine Learning - A Cooperative Game?

7min

Will AI truly replace us humans when it comes to music? Listen to machine learning (ML) legend Andrew Ng and Spotify insiders on what it really means to develop products in an AI/ML first world, how we invented the term “Algotorial” and how reinforcement learning (RL) applies to music.

Features interviews with Andrew Ng, Oskar Stål, Ajay Kalia, Meg Tarquinio, and Tony Jebara.

Transcript here

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Spotify: A Product Story

04: Human vs Machine

Episode guests

The Genius Behind Matrix Computation

The Importance of Creating True Machine Learning First Products

Moving Beyond Baseline Machine Learning with Reinforcement Learning at Spotify

Building a Product That Recommends New Music

Get the Snipdpodcast app

AI-poweredpodcast player

Discoverhighlights

Save anymoment

Share& Export

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Discoverhighlights

Get the Snipd
podcast app

AI-powered
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highlights

Save any
moment

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& Export

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highlights