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
190
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
120
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
szilard
0
110
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
75
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Budapest BI Forum, Budapest, Nov 2019
szilard
0
150
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - LA Data Science Meetup - Playa Vista, August 2019
szilard
0
120
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019
szilard
0
93
Featured
See All Featured
Building Applications with DynamoDB
mza
96
6.6k
Product Roadmaps are Hard
iamctodd
PRO
54
11k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
30
9.7k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Automating Front-end Workflow
addyosmani
1370
200k
A Tale of Four Properties
chriscoyier
160
23k
Being A Developer After 40
akosma
90
590k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
656
61k
Gamification - CAS2011
davidbonilla
81
5.4k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
22k
Testing 201, or: Great Expectations
jmmastey
45
7.7k
Making Projects Easy
brettharned
117
6.4k
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