Esmaeil - Machine learning tutor - New York
Esmaeil - Machine learning tutor - New York

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

Esmaeil

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

  • Rate R658
  • Response 2h
  • Students

    Number of students Esmaeil has accompanied since joining Superprof

    50+

    Number of students Esmaeil has accompanied since joining Superprof

Esmaeil - Machine learning tutor - New York
  • 5 (8 reviews)

R658/h

Contact
  • Machine learning

Master Machine Learning from Fundamentals to Production — Learn from an AI Expert

  • Machine learning

Lesson location

Ambassador

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

About Esmaeil

Hello! I'm Esmaeil Zare, an AI & Machine Learning specialist with a Master's degree in Computer Science from Sapienza University of Rome. I've built ML systems that serve millions of users and published research on model deployment and AI optimization.

My expertise spans the full ML lifecycle: data preparation, model training, evaluation, and production deployment on cloud platforms. I'm not just a tutor — I'm an engineer who has shipped ML models to production and debugged neural networks at scale.

Whether you're a beginner entering AI, a developer adding ML to your skillset, or preparing for ML engineering interviews, I'll guide you through hands-on, project-based learning.

Why learn with me?
- Production ML experience — not just tutorials
- Master's-level depth in theory and practice
- Every concept includes real code examples
- Personalized path based on your goals
- Interview prep for ML engineer roles

See more

About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +12
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Masters

    Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

Languages in which the lesson is available :

English

What We Cover
- Supervised & unsupervised learning
- Deep learning & neural networks (PyTorch, TensorFlow)
- Model evaluation, feature engineering, hyperparameter tuning
- Production ML, deployment, and MLOps basics
- All levels: beginner to advanced

Learning Paths

Path 1 — ML Fundamentals
Linear/logistic regression, decision trees, random forests, scikit-learn, real datasets. Build your first ML project.

Path 2 — Deep Learning
Neural networks, CNNs, RNNs/LSTMs, transfer learning. Image classification and NLP projects.

Path 3 — Production ML
Model optimization, cloud deployment (GCP/AWS), ML pipelines, monitoring. End-to-end system build.

Path 4 — Interview Prep
ML system design, coding challenges, project walkthroughs, real interview questions.

Technologies
Python, NumPy, Pandas, Scikit-learn, Matplotlib, PyTorch, TensorFlow, Hugging Face, Jupyter, Google Colab

Who This Is For
- Career changers entering AI
- Developers adding ML to their toolkit
- University students with Python background
- Engineers preparing for ML interviews

See more

Rates

Rate

  • R658

Package rates

  • 5h: R3290
  • 10h: R6580

online

  • R658/h

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