

Kayol profile and their contact details have been verified by our experts
Kayol
- Rate ₹2,892
- Response 24h
-
Students30
Number of students accompanied by Kayol since their arrival at Superprof
Number of students accompanied by Kayol since their arrival at Superprof

₹2,892/hr
Unfortunately, this teacher is not available
- Artificial Intelligence
Ph.D. Candidate in Electrical Engineering at Unicamp, who teaches machine learning classes.
- Artificial Intelligence
Class location
Super Tutor
One of our best tutors. They have a quality profile, experience in their field, verified qualifications and a great response time. Kayol will be happy to arrange your first Artificial Intelligence classes.
About Kayol
My teaching method is based on a dialogic expository class, in which the student can (and should) participate in the discussion on the subject. Algorithms will be taught from a theoretical perspective so that they can be implemented in practice. Practical classes will be done in Python and will be based on solving standardized database problems. Through this methodology, it is expected that the student learns which algorithm is best for a given problem resolution, in addition to being able to configure the parameters in the best possible way.
About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +14
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Class 11
Adult Literacy
Masters
PhD
MBA
Beginner
Intermediate
Advanced
Professional
Others
Children
- English
All languages in which the class is available :
English
I am a PhD student in electrical engineering at UNICAMP and have academic experience in the field of machine learning. My main focus is on deep neural networks (DNNs), but I also work with shallow neural networks (SNNs) and radial basis function neural networks (RBFs). In addition, I have already worked with some algorithms such as: K-means, K-nearest neighbors, dicision tree, random forest, linear regression, logistic regression, principal component analysis (PCA), autoencoders, support vector machine (SVM), among others.
Review
All of our reviews are collected by us and are 100% reliable. They correspond to a real experience lived by the students of Kayol.
Perfect! ótimo professor, recomendo!
- Muito motivado e interessado pelo assunto.Kayol's response :
Perfect! Excelente professor ! Consegui compreender o complexo de forma simples. Recomendo a Todos.
- Aula bastante produtiva!Kayol's response :
O Marcos conseguiu debugar a rede neural que ele estava com problema e com isso pôde aprender muito!
Perfect! Professor excelente dedicado
- O aluno se empenhou para cumprir o objetivo esperado e tudo deu certo.Kayol's response :
Perfect! Atencioso e tem domínio no assunto.
- Além de pontual, ele leu o material que sugeri e está disposto a se aprofundar mais no assunto.Kayol's response :
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
Ótimo professor!!!
O cara é bom. Faz qualquer sistema complexo parecer fácil como usar um facebook.
Me ajudou bastante na minha dissertação de mestrado em telecom. Já tem alguns artigos publicados e possui uma didática bem clara, elaborada e compreensível.O Kayol é um ótimo professor. Fui seu colega de pesquisa. Pró ativo e atencioso, sempre encontra soluções para os mais diversos problemas. Super recomendo a todos.
Excelente profissional! Recomendado!
View more recommendations
Rates
Rate
- ₹2,892
Pack prices
- 5h: ₹13,496
- 10h: ₹26,028
online
- ₹2,892/hr
Details
Only in-person classes at FEEC (Unicamp) or online via Skype/Google Meet.
FEEC Address: Av. Albert Einstein - 400, University City - Barão Geraldo, Campinas - SP, 13083-852.
Find out more about Kayol
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