Milan - Computer Science tutor - Kolkata
1st lesson free
Milan - Computer Science tutor - Kolkata

Milan profile and its contact details have been verified by our team.

Milan

  • Rate €18
  • Response 11h
  • Students

    Number of students Milan has accompanied since arriving at Superprof

    1

    Number of students Milan has accompanied since arriving at Superprof

Milan - Computer Science tutor - Kolkata

€18/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Computer Science
  • Machine learning

Non-conventional Machine Learning: What you learn in the classroom may not be practical when dealing with complex, messy real-world data. Basic algorithms may show good results on clean, well-prepared

  • Computer Science
  • Machine learning

Lesson location

About Milan

I have over 20 years of experience in complex data analysis across various industries and analytics domains, including ML modeling, data and model pipeline development, and text and speech analytics. I specialize in designing AI-based analytics tools tailored for diverse business users.

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About the lesson

  • Primary School
  • Secondary School
  • Post-Secondary Education
  • +21
  • levels :

    Primary School

    Secondary School

    Post-Secondary Education

    1st year of Sixth Form

    2nd year of Sixth Form

    BTS

    Supérieur

    Adult education

    Bachelor

    Masters

    Diplomgrad

    Doctorate

    Other

    GDL

    Bar Professional Training Course

    Qualified Lawyer Transfer Scheme

    MBA

    Kindergarten

    Beginner

    Intermediate

    Advanced

    Professionnel

    Autres

    Kids

  • English

All languages in which the lesson is available :

English

1. Conventional ML Models Have Limitations:
Traditional machine learning models often fail when applied to real-world data in industry settings.

2. Use a Strategic Approach:
a. Start with a realistic dataset, not overly simplified ones.
b. Build a complete data flow pipeline to handle data properly

3. Choose the Right Algorithms:
a. Every algorithm works under specific statistical assumptions; learn these assumptions and pick algorithms accordingly.
b. Use non-conventional algorithms based on your data’s characteristics.

4. Map Outcomes to Business Needs:
a. Ensure that your analysis aligns with business expectations and solves real business problems.
b. Analytics is only valuable if it meets the business's goals.

5. Learn from Industry Experts:
a. Learn from professionals who work with real-world data to build confidence.
b. Just cracking the interview isn’t enough. You need to be able to apply your skills practically to avoid becoming redundant in the industry.

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Rates

Rate

  • €18

Pack rates

  • 5 h: €90
  • 10 h: €180

online

  • €18/h

free lessons

This first lesson offered with Milan will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 1hr

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