The Conference for Machine Learning Innovation

Vladimir Rybakov

Vladimir Rybakov
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Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

Vladimir Rybakov

WaveAccess

Vladimir holds a master’s degree in engineering. He became interested in machine learning and data science since the first years of studying. During that time, he published several publications, participated in two grants, and wrote both his baccalaureate’s and master’s papers in the field of ML. Since 2015, Vladimir manages the ML R&D team in WaveAccess.

This Speaker belongs to the Dieser Speaker gehört zum Programm vom SingaporeSingapore and  und BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

This Speaker belongs to the Dieser Speaker gehört zum Programm vom SingaporeSingapore and  und BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

Take me to the full program of Zum vollständigen Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Speaker Dieser Speaker belongs to the gehört zum Programm von SingaporeSingapore and  und BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

All talks by Vladimir Rybakov

No current talks available.

All talks by Vladimir Rybakov from other editions

Singapore 2020 Singapore 2020 -

Real Machine Learning Challenges That You’ve Never Faced at Kaggle



Berlin 2019 Berlin 2019 Singapore 2020 Singapore 2020 -

Essential Workshop to Exploratory Data Analysis and Feature Engineering



Berlin 2019 Berlin 2019 -

Case Study: Making the Most out of a Doomed Project



Munich 2019 Munich 2019 -

Does Deep Learning make Feature Engineering obsolete?



Berlin 2018 Berlin 2018 -

The challenge of putting ML into practice



All talks by Vladimir Rybakov

No current talks available.

All talks by Vladimir Rybakov from other editions

Singapore 2020 Singapore 2020 -

Real Machine Learning Challenges That You’ve Never Faced at Kaggle



Berlin 2019 Berlin 2019 Singapore 2020 Singapore 2020 -

Essential Workshop to Exploratory Data Analysis and Feature Engineering



Berlin 2019 Berlin 2019 -

Case Study: Making the Most out of a Doomed Project



Munich 2019 Munich 2019 -

Does Deep Learning make Feature Engineering obsolete?



Berlin 2018 Berlin 2018 -

The challenge of putting ML into practice



All talks by Vladimir Rybakov

Singapore 2020 Singapore 2020 -

Real Machine Learning Challenges That You’ve Never Faced at Kaggle



Berlin 2019 Berlin 2019 Singapore 2020 Singapore 2020 -

Essential Workshop to Exploratory Data Analysis and Feature Engineering




All talks by Vladimir Rybakov from other editions

Berlin 2019 Berlin 2019 -

Case Study: Making the Most out of a Doomed Project



Munich 2019 Munich 2019 -

Does Deep Learning make Feature Engineering obsolete?



Berlin 2018 Berlin 2018 -

The challenge of putting ML into practice



All talks by Vladimir Rybakov

Berlin 2019 Berlin 2019 Singapore 2020 Singapore 2020 -

Essential Workshop to Exploratory Data Analysis and Feature Engineering



Berlin 2019 Berlin 2019 -

Case Study: Making the Most out of a Doomed Project




All talks by Vladimir Rybakov from other editions

Singapore 2020 Singapore 2020 -

Real Machine Learning Challenges That You’ve Never Faced at Kaggle



Munich 2019 Munich 2019 -

Does Deep Learning make Feature Engineering obsolete?



Berlin 2018 Berlin 2018 -

The challenge of putting ML into practice



All talks by Vladimir Rybakov

Singapore 2020 Singapore 2020 -

Real Machine Learning Challenges That You’ve Never Faced at Kaggle



Berlin 2019 Berlin 2019 Singapore 2020 Singapore 2020 -

Essential Workshop to Exploratory Data Analysis and Feature Engineering



Berlin 2019 Berlin 2019 -

Case Study: Making the Most out of a Doomed Project




All talks by Vladimir Rybakov from other editions

Munich 2019 Munich 2019 -

Does Deep Learning make Feature Engineering obsolete?



Berlin 2018 Berlin 2018 -

The challenge of putting ML into practice



Behind the Tracks