BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pyconde-pydata-2024//speaker//RL3YL7
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-pyconde-pydata-2024-GNK3PV@pretalx.com
DTSTART;TZID=CET:20240424T110500
DTEND;TZID=CET:20240424T113500
DESCRIPTION:Climate change is one of the biggest and most daunting challeng
 es that our and future generations are going to face. In order to mitigate
  climate change and its consequences\, first one needs to understand the p
 roblem and get a rough idea about the magnitude of human made global warmi
 ng. As a proper numbers nerd I understand problems best when looking at sc
 ience\, statistics\, and measurements. So here’s my little guide to bett
 er grasp what climate change is all about through data.
DTSTAMP:20260616T030331Z
LOCATION:B05-B06
SUMMARY:Climate Crisis in Numbers - Robert Meyer
URL:https://pretalx.com/pyconde-pydata-2024/talk/GNK3PV/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-pyconde-pydata-2024-UGJJMP@pretalx.com
DTSTART;TZID=CET:20240424T114000
DTEND;TZID=CET:20240424T121000
DESCRIPTION:About 5 years ago my co-founder and I launched alcemy\, a Machi
 ne Learning startup to help decarbonize the cement and concrete supply cha
 in. I experienced first hand moving from a simple proof of concept\, a ML 
 model inside a Jupyter notebook\, to a full-fledged pipeline running 24/7 
 and steering massive amounts of cement production in real plants. I can te
 ll you the road was long and winding. I want to share some of the hard les
 sons we learned along the way with you. If you are an aspiring ML or Softw
 are Engineer\, Data Scientist\, Entrepreneur\, or you are just wondering h
 ow Machine Learning applied in the wild looks like this talk is for you. N
 o prior knowledge is required except some familiarity with basic concepts 
 and terminology of Machine Learning.
DTSTAMP:20260616T030331Z
LOCATION:B05-B06
SUMMARY:Lessons learned from deploying Machine Learning in an old-fashioned
  heavy industry - Robert Meyer
URL:https://pretalx.com/pyconde-pydata-2024/talk/UGJJMP/
END:VEVENT
END:VCALENDAR
