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

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Milan

  • Rate 231 GHS
  • 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

231 GHS/hr

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
  • Junior high school
  • SHS 1
  • +20
  • levels :

    Primary school

    Junior high school

    SHS 1

    SHS 2

    SHS 3

    BTS

    University education

    Adult Education

    Facultate (Licență)

    Master's degree

    Higher national diploma

    Doctor of philosophy

    Other

    GDL

    Qualified Lawyer Transfer Scheme

    MBA

    Pre school

    Beginner

    Intermediate

    Advanced

    Professionel

    Others

    Child

  • 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

  • 231 GHS

Pack prices

  • 5h: 1155 GHS
  • 10h: 2310 GHS

free lessons

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

  • 1hr

online

  • GHS231/h

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