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Since April 2024
Instructor since April 2024
Mathematics | Applied Mathematics | Machine Learning
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From 32.35 C$ /h
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The world is written in mathematical language. And as such it’s very important to be equipped with mathematical knowledge to be able to understand and interpret certain phenomena.

You will learn not only theoretical concepts in mathematics, but also how it’s used in practice to solve real life problems. You will learn theories and the intuitive interpretation, that is what formulas mean in practice and how it’s used.
Location
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At student's location :
  • Around Retreat, South Africa
About Me
I have a Master of Engineering in Smart Systems. I also have a Master of Science in Pure Mathematics. Additionally I have a Master of Science in Robotics and Machine Learning. I’m actually doing my PhD in the intersection of Neuroscience and Artificial Intelligence.

I have always loved teaching because someone said, a good teacher is a good learning. When you teach, you also learn at the same time.

I’ve been teaching for more than five years. The way I teach completely depend on the type of student. When I teach, I always like to take similarities with the real world, because at the end of the day we learn to apply in real life and solve problems. So it’s very important for the student, to understand and visualise how theoretical concepts can be applied to solve problems and what the theory basically means intuitively.
Education
1. Master of Engineering in Smart Systems, National Higher Polytechnic School of Douala/Cameroon.

2. Master of Science in Mathematics, African Institute for Mathematical Sciences Cameroon.

3. Master of Science in Robotics and Machine Learning, University of the Witwatersrand, South Africa.

4. PhD student in Applied Mathematics Computational Neuroscience and Artificial Intelligence, UdM.
Experience / Qualifications
Conception of intelligent systems, mathematical modelling of infectious diseases, coding in Python, modelling of artificial systems using machine learning techniques, numerical methods to approximate non defined functions and also for solving differential equations and partial differential equations.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
120 minutes
The class is taught in
English
French
Availability of a typical week
(GMT -05:00)
New York
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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