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Education

Data Science Fundamentals: Machine Learning

COURSE DETAILS:

This workshop is a careful combination of statistical theory, hands-on coding and programming exercises to help you understand — and implement — some of the most widely used, and fundamental, machine learning algorithms. 


By building regressors and classifier algorithms from scratch, you will go beyond applying machine learning models to actually developing your own models — and learn the right approach to fine-tuning the model performance as well as evaluating model fit against unseen data.


Upon completion of the workshop, you will be well versed in an array of important, versatile machine learning algorithms and equipped with the right knowledge to apply them to future datasets in your daily job. 


  • Difficulty: Beginner
  • Pre-requisites: None
  • 3-Day Workshop
  • 9 hours


Who should attend this course?

- Marketing executive

- Business analyst

- Entrepreneur

- Financial market professional

- Anyone who interested in Data Science


Remarks:

- The course will be held in english

- No prior programming experience is required to succeed in this workshop

- Participants are required to bring their own laptops


Course syllabus: https://algorit.ma/data-science-series/hubba-x-algoritma/

About speaker:


Samuel Chan - Course Producer

Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.

Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.

machine learning, data science

Tickets

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