Vasiles - Computer Science tutor - Swansea
Vasiles - Computer Science tutor - Swansea

Vasiles's profile, diploma and contact details have been verified by our experts

Vasiles

  • Rate 467 GHS
  • Response 1h
  • Students

    Number of students Vasiles has accompanied since arriving at Superprof

    2

    Number of students Vasiles has accompanied since arriving at Superprof

Vasiles - Computer Science tutor - Swansea
  • 5 (4 reviews)

467 GHS/hr

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  • Computer Science
  • Machine learning

Ph.D researcher in Swansea University: Machine Learning, AI, Computer Vision, Signal Processing, Neuroimaging, Neuroscience. Several publications undergoing review in Federated Learning and Computatio

  • Computer Science
  • Machine learning

Lesson location

Recommended

Vasiles is a respected member of our tutor community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.

About Vasiles

I am a 24 year old Ph.D student in computational neuroscience. I have hands on research experience and several projects underway. I did my BSc in Computer Science, specializing in ML & AI, I started a 4-year Ph.D course soon after.

I am an enthusiastic and patient person and hope to share knowledge I have obtained from the past few years of hardwork in research. I hope to inspire and motivate potential learners to follow a good path.

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About the lesson

  • Primary school
  • Junior high school
  • SHS 1
  • +14
  • levels :

    Primary school

    Junior high school

    SHS 1

    SHS 2

    SHS 3

    BTS

    Adult Education

    Facultate (Licență)

    Master's degree

    Higher national diploma

    Doctor of philosophy

    MBA

    Beginner

    Intermediate

    Advanced

    Professionel

    Child

  • English

All languages in which the lesson is available :

English

1. Provide necessary resources and toolkit, including programming, or other skills to encourage simultaneous self-learning and effective teaching for ML. This includes how to interpret research papers and conduct thorough literature reviews.
2. Provide thorough explanations of mathematical or other concepts related to problems in ML. Going through problems together.
3. Looking at the learning plan in a holistic manner: mapping out what is known and not known and how to make most effective use of your time.

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Rates

Rate

  • 467 GHS

Pack prices

  • 5h: 2,333 GHS
  • 10h: 4,667 GHS

online

  • GHS467/h

Travel

  • + 15 GHS

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