1st lesson free
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Milan
- Rate R335
- Response 11h
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Number of students Milan has accompanied since joining Superprof
Number of students Milan has accompanied since joining Superprof
R335/h
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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
- All levels
- English
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
- R335
Package rates
- 5h: R1675
- 10h: R3350
free lesson
The free first lesson with Milan allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R335/h
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