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Profesor fiable
Este profe tiene una tasa de respuesta rápida muy elevada, ofreciendo así un servicio de buena calidad y fiabilidad a sus estudiantes.
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Desde agosto 2019
Profesor desde agosto 2019
Machine Learning Beginner to Intermediate and advanced tutor lesson. Master the skill of the future
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A partir de 69.57 $ /h
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Machine Learning to the field of the future. Be one of the pioneers in mastering this skill and being on the top of the job market.

I can teach you machine/ deep learning from the ground up. From the vanilla feedforward neural network to multi-head attention transformer.

All will be in python using PyTorch as a framework.
Some skills you will get
- Thinking about how to approach ML problems
- Using the right tools for solving the problem
- Classical ML algorithms like Logistic Regression, AdaBoost.
- Feed Forwards NNs, CNN, RNN, Transformer based architectures
- Neural Network Acceleration ( My PhD topic )
- How to deploy NN models
Información adicional
Bring your laptop & the GPU is on me
Lugar
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Clase en el domicilio del profesor :
  • Bis Rue Alfred Nobel, 77420 Champs-sur-Marne, France
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Conectado desde Francia
Acerca de mí
I can help get yourself ready for the job market with the latest skills in Deep learning. Neural Networks.

Focused on language understanding using the latest Deep models like Transformers, BERT & ULMFit.

I can teach you the skills whether you want to learn all the theory and maths behind how we can get a computer to learn.

If you want to get your self ready for the job market & focus on the practicals. We can teach you how to build up your portfolio with a handful of projects
Formación
- Bachelor of Science in computer science.
- Machine Learning Certification from Stanford/Coursera
- Deep Learning Certification from Coursera/Deeplearning.ai
- Masters at EISEE Paris in intelligent systems
- [In Progress] Ph.D. in machine learning at the University of Nantes. LS2N Lab
Experiencia / Calificaciones
iOS Team lead
AWS Administrator experienced in most of AWS services fleet
Machine learning engineer focusing on NLP systems
Edad
Adolescentes (13-17 años)
Adultos (18-64 años)
Tercera edad (65+ años)
Nivel del estudiante
Principiante
Intermedio
Avanzado
Duración
60 minutos
La clase se imparte en
inglés
Comentarios
Disponibilidad en una semana típica.
(GMT -05:00)
Nueva York
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En el domicilio del profesor y online
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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