H2 o kaggle-032515

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How to win data science competitions Wednesday, March 25, 2015 7:00 PM H2O Office 2307 Leghorn St., Mountain View, CA (map) How to win kaggle style data science competitions and influence decisions with R, Deep Learning and H2O's fast algorithms. We take a few public and kaggle datasets & model to win competitions on accuracy and scoring speed. Live Stream: http://new.livestream.com/accounts/10932136/events/3918088

Software

How to win data
science competitions
Silicon Valley Big Data Science
Mountain View, 3/25/2015
Arno Candel, H2O.ai
Matt Dowle, H2O.ai
Mark Landry, Team H2O.ai

H2O, @ArnoCandel
Outline
Introduction to H2O (5 mins)
Kaggle Problems (55 mins)
Otto Group
Rain
2
https://github.com/h2oai/h2o-dev/tree/
master/h2o-r/demos/kaggle

H2O, @ArnoCandel
Teamwork at H2O.ai
Java, Apache v2 Open-Source
#1 Java Machine Learning in Github
Join the community!
3

H2O, @ArnoCandel
H2O: Open-Source (Apache v2)
Predictive Analytics Platform
4

H2O, @ArnoCandel 5
H2O Architecture - Designed for speed,
scale, accuracy & ease of use
Key technical points:
• distributed JVMs + REST API
• no Java GC issues  
(data in byte[], Double)
• loss-less number compression
• Hadoop integration (v1,YARN)
• R package (CRAN)
Pre-built fully featured algos: 
K-Means, NB, PCA, CoxPH, 
GLM, RF, GBM, DeepLearning

H2O, @ArnoCandel 6
H2O GitBooks
https://leanpub.com/u/h2oai

H2O, @ArnoCandel
H2O World
7
http://h2o.ai/h2o-world/
http://learn.h2o.ai
Watch the Videos
Day 2
• Speakers from Academia & Industry
• Trevor Hastie (ML)
• John Chambers (S, R)
• Josh Bloch (Java API)
• Many use cases from customers
• 3 Top Kaggle Contestants (Top 10)
• 3 Panel discussions
Day 1
• Hands-On Training
• Supervised
• Unsupervised
• Advanced Topics
• Markting Usecase
• Product Demos
• Hacker-Fest with  
Cliff Click (CTO, Hotspot)
Join us at H2O World 2015!

H2O, @ArnoCandel
Sparkling Water: Spark+H2O
9

H2O Deep Learning, @ArnoCandel
Past H2O Kaggle Starter R Scripts
10

H2O, @ArnoCandel
Otto Group Challenge
11
Data:
93 numerical features
9 output classes
62k training set rows
144k test set rows

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Otto Group Challenge
12
Install H2O (h2o-dev)

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Otto Group Challenge
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LB score: 0.501
(Benchmark: 1.56)
#332 out of 1203

H2O, @ArnoCandel
How much did it rain?
18

H2O, @ArnoCandel
Hands-On: Rain Challenge
19
Trouble:
“List columns”, missing values,
outliers, noise, …

H2O, @ArnoCandel
Please Welcome
Matt Dowle!
20

H2O, @ArnoCandel
Beating the Benchmark
22
Score: 0.00973, Benchmark: 0.011776 by Mark Landry

H2O, @ArnoCandel
More can be done with H2O
23

H2O, @ArnoCandel
Key Take-Aways
H2O is an open source predictive analytics
platform for data scientists and business
analysts who need scalable and fast
machine learning.
Join our Community and Meetups!
https://github.com/h2oai
h2ostream community forum
www.h2o.ai
@h2oai
24
Thank you!

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Safelyio Toolbox Talk Softwate & App (How To Digitize Safety Meetings)

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Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices. These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions. Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site. The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages. Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information. This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/

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一比一原版(UMN毕业证)明尼苏达大学毕业证如何办理

Safelyio Toolbox Talk Softwate & App (How To Digitize Safety Meetings)

在线购买加拿大英属哥伦比亚大学毕业证本科学位证书原版一模一样

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H2 o kaggle-032515

1. How to win data science competitions Silicon Valley Big Data Science Mountain View, 3/25/2015 Arno Candel, H2O.ai Matt Dowle, H2O.ai Mark Landry, Team H2O.ai

2. H2O, @ArnoCandel Outline Introduction to H2O (5 mins) Kaggle Problems (55 mins) Otto Group Rain 2 https://github.com/h2oai/h2o-dev/tree/ master/h2o-r/demos/kaggle

3. H2O, @ArnoCandel Teamwork at H2O.ai Java, Apache v2 Open-Source #1 Java Machine Learning in Github Join the community! 3

4. H2O, @ArnoCandel H2O: Open-Source (Apache v2) Predictive Analytics Platform 4

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6. H2O, @ArnoCandel 6 H2O GitBooks https://leanpub.com/u/h2oai

7. H2O, @ArnoCandel H2O World 7 http://h2o.ai/h2o-world/ http://learn.h2o.ai Watch the Videos Day 2 • Speakers from Academia & Industry • Trevor Hastie (ML) • John Chambers (S, R) • Josh Bloch (Java API) • Many use cases from customers • 3 Top Kaggle Contestants (Top 10) • 3 Panel discussions Day 1 • Hands-On Training • Supervised • Unsupervised • Advanced Topics • Markting Usecase • Product Demos • Hacker-Fest with   Cliff Click (CTO, Hotspot) Join us at H2O World 2015!

8. H2O, @ArnoCandel iPython Notebooks 8

9. H2O, @ArnoCandel Sparkling Water: Spark+H2O 9

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11. H2O, @ArnoCandel Otto Group Challenge 11 Data: 93 numerical features 9 output classes 62k training set rows 144k test set rows

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14. H2O, @ArnoCandel Flow-based GUI 14

15. H2O, @ArnoCandel Otto Group Challenge 15

16. H2O, @ArnoCandel Otto Group Challenge 16

17. H2O, @ArnoCandel Otto Group Challenge 17 LB score: 0.501 (Benchmark: 1.56) #332 out of 1203

18. H2O, @ArnoCandel How much did it rain? 18

19. H2O, @ArnoCandel Hands-On: Rain Challenge 19 Trouble: “List columns”, missing values, outliers, noise, …

20. H2O, @ArnoCandel Please Welcome Matt Dowle! 20

21. H2O, @ArnoCandel 21 by Matt Dowle

22. H2O, @ArnoCandel Beating the Benchmark 22 Score: 0.00973, Benchmark: 0.011776 by Mark Landry

23. H2O, @ArnoCandel More can be done with H2O 23

24. H2O, @ArnoCandel Key Take-Aways H2O is an open source predictive analytics platform for data scientists and business analysts who need scalable and fast machine learning. Join our Community and Meetups! https://github.com/h2oai h2ostream community forum www.h2o.ai @h2oai 24 Thank you!

H2 o kaggle-032515

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