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BEGIN:VEVENT
UID:20260625T135942Z - 34423@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20240521T090000
DTEND;TZID=Europe/Brussels:20240521T163000
CREATED:20260625T135942Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/train-the-trainer-s
 ustainable-machine-learning-techniques-65/register">Train the trainer: sus
 tainable machine learning techniques</a>\nJoin Train the trainer: sustaina
 ble machine learning techniques AI has become an important role in softwar
 e development. Core functionalities of software have been replaced by mach
 ine learning models. However\, the use of these kinds of adaptive techniqu
 es are not without drawbacks. They may use a lot of energy\, introduce bia
 s and have discriminatory effects. Target audience: Training providers inc
 luding training schools\, trainers and coaches. Novice data scientists and
  AI engineers with a basic knowledge of:PythonScikit-learnPandasWhat will 
 you learn?Students will learn to understand and improve the impact on peop
 le & the environment.How different machine learning models compare w.r.t. 
 their impact on the environment.How to improve the performance of ML syste
 ms for minorities.How to assess fairness of ML techniques.How to lower the
  need for large amounts of data.Strengths and weaknesses of different eval
 uation metrics.Sources of bias that may introduce discrimination.How to im
 prove the robustness of algorithmic outcomes.Awareness of potential second
 ary effects that are not modelled in data.Dangers of the “closed world
 ” assumption.Programme outline: 9:30 The AI mission is introduced to the
  students\;10:00 Students tackle the problem\, in pairs\, on their own\;11
 :00 The tutor helps students move forward and identifies potential problem
 s\;12:30 The different approaches of the students are discussed\, and quan
 titatively compared w.r.t fairness & impact on the environment. 13:00 BREA
 K14:00 Techniques to assess and improve sustainability-related issues are 
 explained.15:00 Small exercises are done to empower the students.16:30 Wra
 p-up and further reading Practical information Language: English Number of
  participants: 14 max Location: FARI Test and Experience Centre\, Canterst
 een 16\, 1000 Brussels. Date & time: 21/5/2024 from 9am to 16.30pm Cancell
 ations: should be notified by [...]
DTSTAMP:20260625T135942Z
LOCATION:sustAIn.brussels\, Kantersteen 16\, 1000 Brussel\, Belgium
SUMMARY:Train the trainer: sustainable machine learning techniques
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/tr
 ain-the-trainer-sustainable-machine-learning-techniques-65/register">Train
  the trainer: sustainable machine learning techniques</a>\nJoin Train the 
 trainer: sustainable machine learning techniques AI has become an importan
 t role in software development. Core functionalities of software have been
  replaced by machine learning models. However\, the use of these kinds of 
 adaptive techniques are not without drawbacks. They may use a lot of energ
 y\, introduce bias and have discriminatory effects. Target audience: Train
 ing providers including training schools\, trainers and coaches. Novice da
 ta scientists and AI engineers with a basic knowledge of:PythonScikit-lear
 nPandasWhat will you learn?Students will learn to understand and improve t
 he impact on people & the environment.How different machine learning model
 s compare w.r.t. their impact on the environment.How to improve the perfor
 mance of ML systems for minorities.How to assess fairness of ML techniques
 .How to lower the need for large amounts of data.Strengths and weaknesses 
 of different evaluation metrics.Sources of bias that may introduce discrim
 ination.How to improve the robustness of algorithmic outcomes.Awareness of
  potential secondary effects that are not modelled in data.Dangers of the 
 “closed world” assumption.Programme outline: 9:30 The AI mission is in
 troduced to the students\;10:00 Students tackle the problem\, in pairs\, o
 n their own\;11:00 The tutor helps students move forward and identifies po
 tential problems\;12:30 The different approaches of the students are discu
 ssed\, and quantitatively compared w.r.t fairness & impact on the environm
 ent. 13:00 BREAK14:00 Techniques to assess and improve sustainability-rela
 ted issues are explained.15:00 Small exercises are done to empower the stu
 dents.16:30 Wrap-up and further reading Practical information Language: En
 glish Number of participants: 14 max Location: FARI Test and Experience Ce
 ntre\, Cantersteen 16\, 1000 Brussels. Date & time: 21/5/2024 from 9am to 
 16.30pm Cancellations: should be notified by [...]
END:VEVENT
END:VCALENDAR