SlideShare a Scribd company logo
- 90 KM
- It is the oldest cross-
country ski race in the
world
- Carl XVI Gustaf, King
of Sweden (Joined 3
times), Just like our
Alexander
- 15,800 participants in
2018
0 - Professionals
1 - Best Amateurs
2 – “I train every week”
3
4
5 – “I join for fun”
6
7
8
9 – “At least not 10”
10 – “At least I join!”
11 Starting Groups
Photo by Bernt Rostad, Akkurat Restaurang & Bar, flickr
"I was 30
minutes faster
than you..."
Value?
They asked my help with the model
and gave them a random generator
instead
Version 0: Randomizer
https://blog.insightdatascience.com/always-start-with-
a-stupid-model-no-exceptions-3a22314b9aaa
• Somehow, very natural for experienced ML
practitioners
• Somehow, very tempting to apply fancy-
pansy Model for ML starters
• It helps quickly get an idea how Feasible a
project it (Data / Deployment / Performance)
• You learn something by analyze errors
• "We did it!" feeling with client/customer
• "Terrible model sir- you didn't include
[weather]"
Thx dude! Thats a new feature
• ML Practitioners: Create 1 in 1st week
Project Owner: Demand 1 in 1st week
Version 1: Median Corrector
Version 2: Linear Model
Each dot someone who participated in both
years – our test group
990 LM were created
Did it work?
• Random Model –> 45 minutes (+ random error)
• Median Correctos -> 25 minutes
• Linear Model -> 19 minutes
• WebDev team was trained in implementing my poor
JavaScript
• When the 2019 data arrived – updating the model for live
version took 4 hours
If we had
more time...
What could
be a V3
version?
SKIING AND MACHINE LEARNING - DISCUSSION AROUND A USE-CASE GOING DOWNHILL! - Big Data Expo 2019
SKIING AND MACHINE LEARNING - DISCUSSION AROUND A USE-CASE GOING DOWNHILL! - Big Data Expo 2019

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SKIING AND MACHINE LEARNING - DISCUSSION AROUND A USE-CASE GOING DOWNHILL! - Big Data Expo 2019

  • 1.
  • 2. - 90 KM - It is the oldest cross- country ski race in the world - Carl XVI Gustaf, King of Sweden (Joined 3 times), Just like our Alexander - 15,800 participants in 2018
  • 3. 0 - Professionals 1 - Best Amateurs 2 – “I train every week” 3 4 5 – “I join for fun” 6 7 8 9 – “At least not 10” 10 – “At least I join!” 11 Starting Groups
  • 4. Photo by Bernt Rostad, Akkurat Restaurang & Bar, flickr "I was 30 minutes faster than you..."
  • 5. Value? They asked my help with the model and gave them a random generator instead Version 0: Randomizer
  • 6. https://blog.insightdatascience.com/always-start-with- a-stupid-model-no-exceptions-3a22314b9aaa • Somehow, very natural for experienced ML practitioners • Somehow, very tempting to apply fancy- pansy Model for ML starters • It helps quickly get an idea how Feasible a project it (Data / Deployment / Performance) • You learn something by analyze errors • "We did it!" feeling with client/customer • "Terrible model sir- you didn't include [weather]" Thx dude! Thats a new feature • ML Practitioners: Create 1 in 1st week Project Owner: Demand 1 in 1st week
  • 7. Version 1: Median Corrector
  • 8. Version 2: Linear Model Each dot someone who participated in both years – our test group 990 LM were created
  • 9. Did it work? • Random Model –> 45 minutes (+ random error) • Median Correctos -> 25 minutes • Linear Model -> 19 minutes • WebDev team was trained in implementing my poor JavaScript • When the 2019 data arrived – updating the model for live version took 4 hours
  • 10. If we had more time... What could be a V3 version?