Karthik Vinay Kumar - Machine learning tutor - Dallas
Karthik Vinay Kumar - Machine learning tutor - Dallas

One of our best tutors. Quality profile, experienced in their field, verified qualifications and a great response time. Karthik Vinay Kumar will be happy to arrange your first Machine learning lesson.

Karthik Vinay Kumar

One of our best tutors. Quality profile, experienced in their field, verified qualifications and a great response time. Karthik Vinay Kumar will be happy to arrange your first Machine learning lesson.

  • Rate โ‚ฌ21
  • Response 1h
  • Students

    Number of students Karthik Vinay Kumar has accompanied since arriving at Superprof

    50+

    Number of students Karthik Vinay Kumar has accompanied since arriving at Superprof

Karthik Vinay Kumar - Machine learning tutor - Dallas
  • 4.9 (4 reviews)

โ‚ฌ21/h

Contact
  • Machine learning

Machine Learning and Generative AI Tutor: Prompting, LLM Concepts, RAG Basics, and Real Mini Projects

  • Machine learning

Lesson location

Ambassador

One of our best tutors. Quality profile, experienced in their field, verified qualifications and a great response time. Karthik Vinay Kumar will be happy to arrange your first Machine learning lesson.

About Karthik Vinay Kumar

AI became real for me when I moved beyond theory and started building systems that actually workโ€”models that learn from data, neural networks that improve through training, and GenAI workflows that can summarize, reason, and answer questions with the right structure.

Iโ€™m a Masterโ€™s graduate in Business Analytics & AI and a startup founder, and my focus is on practical, engineering-friendly AI. In my sessions, we study how machine learning methods work, how deep learning models are trained, and whatโ€™s happening inside neural networks - while also connecting it to implementation using Python. We also cover modern GenAI concepts like LLM behavior, prompt patterns, and retrieval-based approaches (RAG), so learners understand how to build reliable GenAI workflows.

This is ideal if you want a strong foundation plus the ability to implement, evaluate, and explain AI models confidently.

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About the lesson

  • Primary School
  • Secondary School
  • Post-Secondary Education
  • +14
  • levels :

    Primary School

    Secondary School

    Post-Secondary Education

    1st year of Sixth Form

    2nd year of Sixth Form

    BTS

    Supรฉrieur

    Adult education

    Masters

    Doctorate

    MBA

    Kindergarten

    Beginner

    Intermediate

    Advanced

    Professionnel

    Kids

  • English

All languages in which the lesson is available :

English

Iโ€™m a ๐€๐ˆ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ & ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐ญ๐ข๐ฌ๐ญ. I teach end-to-end Machine Learning, Deep Learning, Neural Networks, and Generative AI with a structured approach that combines fundamentals + implementation.

๐‚๐จ๐ฎ๐ซ๐ฌ๐ž ๐œ๐จ๐ง๐ญ๐ž๐ง๐ญ:
โ€ข ML foundations: supervised/unsupervised learning, bias-variance, metrics, validation
โ€ข Core models: regression, classification, trees/ensembles, clustering (concept + practice)
โ€ข Deep Learning: training pipeline, loss functions, optimizers, regularization, dropout, batch norm
โ€ข Neural Networks: forward/backprop intuition, activation functions, architecture choices
โ€ข Practical workflows: data prep, feature handling, pipelines, experimentation
โ€ข GenAI: prompt design patterns, LLM behavior, hallucinations, evaluation basics
โ€ข RAG basics: chunking, embeddings, vector search, retrieval quality

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Rates

Rate

  • โ‚ฌ21

Pack rates

  • 5 h: โ‚ฌ106
  • 10 h: โ‚ฌ213

online

  • โ‚ฌ21/h

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