Ariana's profile, diploma and contact details have been verified by our experts
Ariana
- Rate UGX 125,938
- Response 1h
-
Students2
Number of students Ariana has accompanied since arriving at Superprof
Number of students Ariana has accompanied since arriving at Superprof
UGX 125,938/hr
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- Computer Science
- Machine learning
Computer Science & Mathematics Graduate with 3+ Years of Machine Learning Experience in Adelaide or Remotely
- Computer Science
- Machine learning
Lesson location
About Ariana
I’m a Computer Science and Mathematics graduate educated in the United States, with over 3 years of experience in machine learning through academic research and applied projects. I’ve worked as both a Research Assistant and a Teaching Assistant.
My experience includes ML concepts, computer vision, large language models, biomedical applications, and exposure to robotics and computational geometry.
I’m originally from France and have experience in international academic settings.
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About the lesson
- Primary
- Secondary
- Tertiary
- +11
levels :
Primary
Secondary
Tertiary
Adult Education
Masters
Diploma
PhD (Doctor of Philosophy)
Early childhood education
Beginner
Intermediate
Advanced
Professional/Expert
Other
Children
- French
- English
All languages in which the lesson is available :
French
English
Lessons begin by identifying what is most needed by the student. This may include reviewing prerequisites, clarifying specific concepts, working through assignments, or preparing for exams. Based on this initial assessment, the depth, pace, and structure of the lesson are adjusted to match the student’s background and goals.
The teaching approach emphasizes understanding over memorization. Concepts are explained step by step, using intuition, examples, and problem-solving to make abstract ideas more approachable. When relevant, theory is connected to practical applications, including guided Python exercises or structured walkthroughs.
Lessons typically last one hour and can be adapted as needed. Support is offered for high-school and university students studying mathematics, computer science, or introductory machine learning. Background areas include foundational machine learning concepts, computer vision, large language models, biomedical applications, and exposure to robotics and computational geometry.
The goal of each lesson is to make complex ideas clear, manageable, and accessible while building confidence and strong foundations.
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Rates
Rate
- UGX 125,938
Pack prices
- 5h: UGX 625
- 10h: UGX 1250
online
- UGX 125,938/hr
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