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Akash
- Rate UGX 27,482
- Response 1h
UGX 27,482/hr
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- Python
- Artificial Intelligence
I'm a MTech graduate from IIIT Lucknow, and I teach Natural Language Processing. I make teaching interesting by relating teaching concepts with real-world scenarios and analogies.
- Python
- Artificial Intelligence
Lesson location
About Akash
I have a passion for linguistics and AI. That's why I specialized in AI with my thesis and research focused on Natural Language Processing. I believe, "Knowledge begets knowledge", both for the learner and the teacher. Being a student, I know what it feels to learn something for the first time and fall in love with it. That's what I aspire to achieve as a teacher. Make my students fall in love with the subject.
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About the lesson
- Tertiary
- University
- Adult Education
- +11
levels :
Tertiary
University
Adult Education
Masters
Diploma
PhD (Doctor of Philosophy)
Other
GDL
MBA
Intermediate
Advanced
Professional/Expert
Other
Beginner
- English
All languages in which the lesson is available :
English
I teach using beautiful presentation slides and writing on board wherever required for detailed explanations.
The class starts with introducing a new concept via real-world problem, and goes on to focus on that. Last 10-15minutes are for clearing doubts or queries from the lecture.
As a teacher, I ensure basics are always strong, as they lay the foundations for every important and advanced topic.
The class is intended for anyone who is interested in knowing the nuances of how any human language is analyzed and understood by computers, which forms the basis for advanced concepts like today's Large Language Models (ChatGPT, LLama, Gemini). Ideally, the prerequisites are Deep Learning and Math which makes it suitable for engineering and 10+2 students. However, anyone with a zeal for AI and linguistics can follow along, with the necessary resources being provided.
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Rates
Rate
- UGX 27,482
Pack prices
- 5h: UGX 137,410
- 10h: UGX 274,819
online
- UGX 27,482/hr
Details
400 INR for 10+2 students.
Prices can be negotiated depending on the duration of course and number of students for a particular class.
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