The Conference for Machine Learning Innovation

Case Study: Making the Most out of a Doomed Project

Session
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Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Infos

Some projects’ challenges are simply not meant to be solved – just because anything that can go wrong will go wrong. Miscommunications, dataset issues, unreasonably high expectations to name a few – everything will happen. More than that, usually you won’t see it coming until it’s too late. The question is what to do if you are in such a situation, especially when you have a bunch of competitors.

In this talk, we will take a thorough look at such project to cover all the problems the development team came across and discuss what actually matters when the goal seems unreachable.

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session Diese Session originates from the archive of stammt aus dem Archiv von BerlinBerlin . Take me to the current program of . Hier geht es zum aktuellen Programm von Munich Munich , Singapore Singapore or oder Berlin Berlin .

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