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Machine Learning for Fun
Finding Bigfoot with the Nexosis API
Who is this Guy?
Guy Royse
Developer Evangelist
Nexosis
guy@nexosis.com
@guyroyse
2
Who is this Company?
3
Nexosis is a company of
developers focused on
providing easy access to
machine learning.
4
IANADS
MGM - 2001: A Space Odyssey
Machine Learning for Fun - Finding Bigfoot with the Nexosis API
Machine Learning for Fun - Finding Bigfoot with the Nexosis API
8
My math teacher
called me average.
How mean!
9
What Do We Do?
Demand Forecasting Regression Analysis
Classification Anomaly Detection
Impact Analysis/What-If?
10
Do You Do One of These?
Customer Service Distribution &
Logistics
Energy Greater Good
Human Resources IoT Manufacturing &
Operations
Sales & Marketing
11
Datasets
Date Sales Holiday? Promo Temperature
2/5/2010 $24,924.50 No A 14º F
2/12/2010 $46,039.49 Yes C 16º F
2/19/2010 $41,595.55 No B 24º F
2/26/2010 $19,403.54 No B 19º F
12
Encoded Dataset
Date Sales Holiday? _A _B _C Temperature
2/5/2010 24,924.5 0 1 0 0 14.0
2/12/2010 46,039.49 1 0 0 1 16.0
2/19/2010 41,595.55 0 0 1 0 24.0
2/26/2010 19,403.54 0 0 1 0 19.0
13
Forecasting
Date Sales Holiday? Promo Temperature
2/5/2010 $24,924.50 No A 14º F
2/12/2010 $46,039.49 Yes C 16º F
2/19/2010 $41,595.55 No B 24º F
2/26/2010 $19,403.54 No B 19º F
3/5/2010 ? No B 20º F
3/12/2010 ? No B 22º F
3/19/2010 ? No B 24º F
14
Impact Analysis
Date Sales Sales
Impact
Holiday? Promo Temperature
2/5/2010 $24,924.50 No A 14º F
2/12/2010 $46,039.49 ? Yes C 16º F
2/19/2010 $41,595.55 ? No B 24º F
2/26/2010 $19,403.54 ? No B 19º F
15
Regression
Sale Price Basement? Stories Square Footage Neighborhood
$124,924.50 No 1 800 sq. ft. Southtown
$246,039.49 Yes 2 1,600 sq. ft. Northtown
$141,595.55 No 2 1,490 sq. ft, Downtown
$192,403.54 Yes 3 2,440 sq. ft. Uptown
? No 1 920 sq. ft. Southtown
16
Classification
Sale Price Basement? Stories Square Footage Neighborhood
$124,924.50 No 1 800 sq. ft. Southtown
$246,039.49 Yes 2 1,600 sq. ft. Northtown
$141,595.55 No 2 1,490 sq. ft, Downtown
$192,403.54 Yes 3 2,440 sq. ft. Uptown
$132,539.19 No 1 920 sq. ft. ?
17
18
19
Bigfoot Field Researchers Organization Data
Date ID Report Classification Latitude Longitude
1/15/1958 8086 A series of large, human-like footprints
are found on a farm near Wayne National
Forest
Class B 39.63382 -81.40079
4/15/1958 16691 Man describes possible sighting during
childhood in Hinkley Basin
Class B 37.055 -121.845
5/14/1958 1670 Large footprint find, large creature
witnessed by a school bus driver
Class A 48.2475 -121.9425
11/1/1958 7425 A Teenager and His Dog Encounter an
Ape-like Creature While Retrieving Their
Trap Lines
Class A 40.92276 -82.44401
12/1/1958 25670 Possible tracks found crossing field of
snow 50 years ago in the City of Thunder
Bay
Class B 48.3766 -89.30945
12/31/1958 2364 Two teenage boys encounter a white
ape-like animal
Class A 36.7999 -83.66641
20
Imputation & Aggregation
Date Quantity
1/15/1958 1
4/15/1958 1
5/14/1958 1
11/1/1958 1
12/1/1958 1
12/31/1958 1
Date Quantity
1/1/1958 1
2/1/1958 0
3/1/1958 0
4/1/1958 1
5/1/1958 1
6/1/1958 0
7/1/1958 0
8/1/1958 0
9/1/1958 0
10/1/1958 0
11/1/1958 1
12/1/1958 2
Imputation
Aggregation
21
22
23
Your Favorite Languages
Machine Learning for Fun - Finding Bigfoot with the Nexosis API
25
January 1950 to December 2016
Historical Bigfoot Sightings
26
January 2017 through December 2019
Forecasted Bigfoot Sightings
27
January 2017 through December 2019
Forecasted Bigfoot Sightings
28
October 1993 to February 2002
Impact of X-Files on Bigfoot Sightings
Machine Learning for Fun - Finding Bigfoot with the Nexosis API
Who is this Guy?
Guy Royse
Developer Evangelist
Nexosis
guy@nexosis.com
@guyroyse
30
Machine Learning for Fun - Finding Bigfoot with the Nexosis API
32
Credits
o Images
o https://www.flickr.com/photos/reivax/16450931531
o https://www.flickr.com/photos/tim_d/155441805
o https://www.nexusmods.com/fallout4/mods/5071/
o https://twitter.com/DannyDutch
o Data
o http://www.bfro.net/
o https://data.world/timothyrenner/bfro-sightings-data

More Related Content

Machine Learning for Fun - Finding Bigfoot with the Nexosis API

  • 1. Machine Learning for Fun Finding Bigfoot with the Nexosis API
  • 2. Who is this Guy? Guy Royse Developer Evangelist Nexosis guy@nexosis.com @guyroyse 2
  • 3. Who is this Company? 3 Nexosis is a company of developers focused on providing easy access to machine learning.
  • 5. MGM - 2001: A Space Odyssey
  • 8. 8 My math teacher called me average. How mean!
  • 9. 9 What Do We Do? Demand Forecasting Regression Analysis Classification Anomaly Detection Impact Analysis/What-If?
  • 10. 10 Do You Do One of These? Customer Service Distribution & Logistics Energy Greater Good Human Resources IoT Manufacturing & Operations Sales & Marketing
  • 11. 11 Datasets Date Sales Holiday? Promo Temperature 2/5/2010 $24,924.50 No A 14º F 2/12/2010 $46,039.49 Yes C 16º F 2/19/2010 $41,595.55 No B 24º F 2/26/2010 $19,403.54 No B 19º F
  • 12. 12 Encoded Dataset Date Sales Holiday? _A _B _C Temperature 2/5/2010 24,924.5 0 1 0 0 14.0 2/12/2010 46,039.49 1 0 0 1 16.0 2/19/2010 41,595.55 0 0 1 0 24.0 2/26/2010 19,403.54 0 0 1 0 19.0
  • 13. 13 Forecasting Date Sales Holiday? Promo Temperature 2/5/2010 $24,924.50 No A 14º F 2/12/2010 $46,039.49 Yes C 16º F 2/19/2010 $41,595.55 No B 24º F 2/26/2010 $19,403.54 No B 19º F 3/5/2010 ? No B 20º F 3/12/2010 ? No B 22º F 3/19/2010 ? No B 24º F
  • 14. 14 Impact Analysis Date Sales Sales Impact Holiday? Promo Temperature 2/5/2010 $24,924.50 No A 14º F 2/12/2010 $46,039.49 ? Yes C 16º F 2/19/2010 $41,595.55 ? No B 24º F 2/26/2010 $19,403.54 ? No B 19º F
  • 15. 15 Regression Sale Price Basement? Stories Square Footage Neighborhood $124,924.50 No 1 800 sq. ft. Southtown $246,039.49 Yes 2 1,600 sq. ft. Northtown $141,595.55 No 2 1,490 sq. ft, Downtown $192,403.54 Yes 3 2,440 sq. ft. Uptown ? No 1 920 sq. ft. Southtown
  • 16. 16 Classification Sale Price Basement? Stories Square Footage Neighborhood $124,924.50 No 1 800 sq. ft. Southtown $246,039.49 Yes 2 1,600 sq. ft. Northtown $141,595.55 No 2 1,490 sq. ft, Downtown $192,403.54 Yes 3 2,440 sq. ft. Uptown $132,539.19 No 1 920 sq. ft. ?
  • 17. 17
  • 18. 18
  • 19. 19 Bigfoot Field Researchers Organization Data Date ID Report Classification Latitude Longitude 1/15/1958 8086 A series of large, human-like footprints are found on a farm near Wayne National Forest Class B 39.63382 -81.40079 4/15/1958 16691 Man describes possible sighting during childhood in Hinkley Basin Class B 37.055 -121.845 5/14/1958 1670 Large footprint find, large creature witnessed by a school bus driver Class A 48.2475 -121.9425 11/1/1958 7425 A Teenager and His Dog Encounter an Ape-like Creature While Retrieving Their Trap Lines Class A 40.92276 -82.44401 12/1/1958 25670 Possible tracks found crossing field of snow 50 years ago in the City of Thunder Bay Class B 48.3766 -89.30945 12/31/1958 2364 Two teenage boys encounter a white ape-like animal Class A 36.7999 -83.66641
  • 20. 20 Imputation & Aggregation Date Quantity 1/15/1958 1 4/15/1958 1 5/14/1958 1 11/1/1958 1 12/1/1958 1 12/31/1958 1 Date Quantity 1/1/1958 1 2/1/1958 0 3/1/1958 0 4/1/1958 1 5/1/1958 1 6/1/1958 0 7/1/1958 0 8/1/1958 0 9/1/1958 0 10/1/1958 0 11/1/1958 1 12/1/1958 2 Imputation Aggregation
  • 21. 21
  • 22. 22
  • 25. 25 January 1950 to December 2016 Historical Bigfoot Sightings
  • 26. 26 January 2017 through December 2019 Forecasted Bigfoot Sightings
  • 27. 27 January 2017 through December 2019 Forecasted Bigfoot Sightings
  • 28. 28 October 1993 to February 2002 Impact of X-Files on Bigfoot Sightings
  • 30. Who is this Guy? Guy Royse Developer Evangelist Nexosis guy@nexosis.com @guyroyse 30
  • 32. 32 Credits o Images o https://www.flickr.com/photos/reivax/16450931531 o https://www.flickr.com/photos/tim_d/155441805 o https://www.nexusmods.com/fallout4/mods/5071/ o https://twitter.com/DannyDutch o Data o http://www.bfro.net/ o https://data.world/timothyrenner/bfro-sightings-data