Machine Learning Archives - Software Engineering Daily

Data Science at Spotify with Boxun Zhang

Dec 11, 2015
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Episode notes
1
Introduction
00:00 • 2min
2
Is There a Chronological Overlap Between Data Science and Distributed Systems?
02:07 • 2min
3
The Evolution of Big Data at Spotifi
03:43 • 3min
4
Do You Need to Understand the Underlying Technology?
07:01 • 3min
5
How to Reduce the Time Expended Cleaning Data?
10:23 • 3min
6
Log Archiver - Why Did It Fail?
13:36 • 2min
7
Koka at Spotifi - What Are the Benefits of Using Koka?
15:15 • 2min
8
Is There Any Open Source Alternative to Lu?
17:29 • 2min
9
Hadup a - What Are the Persistent Themes in the Hadup a Problems?
19:33 • 3min
10
How Do You Work on a Data Science Architecture?
22:04 • 3min
11
Gradien Boosting Models - A General Purpose Implementation
24:59 • 2min
12
Random Forest in Machine Learning?
27:15 • 2min
13
Using Random Forest for Classification and Regression Problems?
28:56 • 2min
14
The Most Popular Clustering Elgenno Used Out There
30:42 • 2min
15
Machine Learning and Data Science - Gradient Decadence
32:38 • 2min
16
The Collaborative Process Between Data Scientists and Engineers at Spotifi
34:36 • 4min
17
Sitting Together in a Data Science Environment?
38:07 • 3min
18
The Future of Streaming Systems in Spotify
41:08 • 2min
19
Tenser Flow
43:37 • 2min
20
Deploying Machine Learning Models to User's Devices
45:59 • 2min
21
What Is the Future of Data Science?
48:05 • 3min
22
Is There a Future for Data Science?
51:10 • 2min
23
Discover Weekly - Are You Using Machine Learning to Generate Music?
52:45 • 3min