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Vertrauter Lehrer
Dieser Lehrer hat eine schnelle Reaktionszeit, was eine hohe Servicequalität für seine Schüler beweist.
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Seit April 2018
Lehrer seit April 2018
Python / Machine Learning / Data Science / Statistics
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Von 36 € /Std
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I am a strong software engineer who turned towards Machine Learning & Data Science. I have been teaching in the past. I gave several conferences, supervised undergraduate students and was a maths/physics tutor for high school students. I can teach in English & French.

My belief is that the only way to learn programming is by actually programming. My course will be mainly focused on programming projects. We'll start with small toy examples at the beginning and move on to bigger projects when the student is ready.
Zusätzliche Informationen
Pas nécessaire d'emmener un ordinateur
Ort
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Beim Lehrer zu Hause :
  • Rue du Cherche-Midi, 75006 Paris, France
Über mich
I have given lectures and supervised programming practices for groups of~30 students in the past. I have been teaching for around 3 years now. If you want to become a top-notch programmer, whatever your age, I can put you on the right track. Note however, that you will be doing most of the work. You can only become a good programmer by yourself. I will be here to ease the process.

I am now a PhD student at Inria, within the team that created Scikit-learn
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M.S. Computer Science at EPITA
Strong software engineering and algorithmic background
Research in Speaker Verification with machine learning models
PhD candidate at Inria
Application of machine learning to neuroimaging data
Erfahrung / Qualifikationen
1 year as a machine learning researcher at Capital Fund Management, a Paris-based quantitative hedge fund with ~12bn AUM
Alter
Kinder (7-12 Jahre alt)
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Seniorinnen und Senioren (65+ Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Fortgeschritten
Dauer
60 Minuten
90 Minuten
120 Minuten
Unterrichtet in
Französisch
Englisch
Fachkenntnisse
Verfügbarkeit einer typischen Woche
(GMT -05:00)
New York
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Beim Lehrer zu Hause
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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