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Machine Learning
Specialization

Understand the principles and application of machine learning for modern day problems.

ML TRACK

machine learning specialization badges

ADDS STRUCTURE TO YOUR LEARNING PROCESS

Get in touch with our friendly team of English and Bahasa Indonesia-speaking consultants to enroll!

Specialization details :

An intensive specialization that strives for a fine balance between practical applications and mathematical rigor in teaching essential machine learning concepts. By taking a learn-by-building approach, you will learn to develop regression and classification algorithms and incorporate them into real-life solutions or data products / business applications.

The modules in all the workshops follow our project-based learning philosophy to this specialization. The course capstone requires that the student build a real-world application under stringent criteria modeled after real business scenarios.

Courses in this Specialization:

Workshop Receivables:

  • Workshop Lecturer’s Notes

    Including 2x Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout the 3 day course.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

  • Supplement Materials

    Receive supplement datasets to practice on, reference notes, working files (R Notebook or Jupyter Notebook), and other materials that will help you master the topics.

This specialization is recommended for:

This specialization is designed for casual learners, working professionals and non-programmers that are taking their first steps into data science and machine learning. We strongly recommend that you take the course in the intended order, completing any pre-requisite as stated.

Students enrolling into this specialization are not assumed to have a working knowledge of R or prior proficiency in statistics / mathematics / algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants.

Learn machine learning by building:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.