Neural Networks for Natural Language Processing (Indonesian)

Gentle introduction to linguistic tasks in the deep learning era

  • Three phases of NLP: Classical, Statistical and the Deep Learning era
  • Hacking neural networks for word embeddings
  • Training machines for language understanding
  • Challenges in Bahasa Indonesia NLP
  • Deriving meanings from context
  • Demo on Word Embeddings and text prediction using Bahasa Indonesia corpus
  • Tips, tools (open source and commercial), strategies and comparison of approaches to Bahasa Indonesia NLP
  • Taking advantage of free tools
  • Free resources for Bahasa Indonesia NLP
  • Implementation first-steps


Samuel Chan

An  RStudio-certified instructor and 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) for three years running, and boasts certifications from RStudio, Microsoft, MongoDB, Neo4J Database, Stanford University, John Hopkins University, among others.

Prior to Algoritma, he has 8 years of working experience, including a stint as in-house consultant to several public-trading companies from his time staying in China, Japan and Singapore. He is today an active trainer and consultant for various companies in the financial industry. He has guest lectured in various campuses: Binus, NUS (National University of Singapore)’s The Logistics Institute, University of Indonesia, Universitas Gadjah Mada (UGM), Binus, Institute of Technology Bandung (ITB), Telkom University etc. Courses he authored are offered also in Singapore through Ngee Ann Polytechnic.

Samuel 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, and among the first to be certified in RStudio’s program. Technical committee member and competition judge on Finhacks 2018, the largest Machine Learning competition of the year organized by PT. Bank Central Asia (BCA) and DailySocial.

Workshop Receivables:

  • Workshop Lecturer’s Notes

    Including an e-course book (PDF) and/or HTML files.

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor.

  • Quality Learning Environment

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

Kickstart Series

Workshops in our Kickstart series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models.

Students are encouraged to bring along their laptop and download the course materials beforehand if they wish to follow along with the Code Along exercises. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.


Yes, you can still attend the workshop as it is an introductory workshop

You are not required to bring a laptop however if you would like to follow our coding session during our workshop, you are recommended to install the programming language software beforehand.

The material can be found on the registration page. Otherwise, we will also send via email before the workshop starts.

You will receive a Letter of Participation

You do not need to print the ticket as an email will be sent with a QR code. Flash the QR code at the registration counter and you are good to go.