Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Machine Learning Trends in 2017 - Budapest Data...
Search
szilard
December 19, 2017
0
120
Machine Learning Trends in 2017 - Budapest Data Christmas - Dec 2017
szilard
December 19, 2017
Tweet
Share
More Decks by szilard
See All by szilard
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Data Con LA - Oct 2020
szilard
0
180
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - Albuquerque Machine Learning Meetup (Online) - Aug 2020
szilard
0
130
Better than Deep Learning: Gradient Boosting Machines (GBM) - eRum conference - invited talk - June 2020
szilard
0
110
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
szilard
0
100
A Random Walk in Data Science and Machine Learning in Practice - CEU, Business Analytics Masters - Budapest, Febr 2020
szilard
0
300
Better than My Meetup/Conference Talks: Going Deeper in Various GBM Topics - GBM Advanced Workshop - Budapest, Nov 2019
szilard
0
72
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Budapest BI Forum, Budapest, Nov 2019
szilard
0
140
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - LA Data Science Meetup - Playa Vista, August 2019
szilard
0
110
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019
szilard
0
87
Featured
See All Featured
Into the Great Unknown - MozCon
thekraken
40
1.9k
The Language of Interfaces
destraynor
158
25k
Designing for humans not robots
tammielis
253
25k
Practical Orchestrator
shlominoach
189
11k
Raft: Consensus for Rubyists
vanstee
140
7k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
47
9.6k
Making Projects Easy
brettharned
116
6.3k
Build The Right Thing And Hit Your Dates
maggiecrowley
37
2.8k
RailsConf 2023
tenderlove
30
1.1k
Visualization
eitanlees
146
16k
Git: the NoSQL Database
bkeepers
PRO
430
65k
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
Transcript
Machine Learning Trends in 2017 Szilárd Pafka, PhD Chief Scientist,
Epoch Budapest Data Christmas December 2017
None
Disclaimer: I am not representing my employer (Epoch) in this
talk I cannot confirm nor deny if Epoch is using any of the methods, tools, results etc. mentioned in this talk
None
Source: Andrew Ng
None
None
None
None
...
None
None
None
None
None
None
None
None
None
10x
10x
None
None
None
None
None
None
None
1M: CPU cache effects
(lightgbm 10M)
16 cores vs 1: 16 cores:
None
None
Aggregation 100M rows 1M groups Join 100M rows x 1M
rows time [s] time [s]
Aggregation 100M rows 1M groups Join 100M rows x 1M
rows time [s] time [s]
None
None
None
None
None
me @confs / talks :: 2017