Building Neural Language Models

Understanding neural networks, word embeddings, and build your own language models in the code along session.

  • Schedule

    19 February 2021

    17.00 – 21.00 (UTC+7)

  • Delivery Language


  • Online-Interactive Learning

    Via Zoom

  • Investment

    IDR 100.000


  • Three phases of NLP: classical, statistical, and the deep learning era
  • Hacking neural networks for word embeddings
  • Training machines for language understanding
  • Challenges in NLP
  • Deriving meanings from context
  • Demo on word embeddings and text prediction
  • Tips, tools (open source and commercial), strategies and comparison of approaches to NLP
  • Taking advantage of free tools
  • Free resources for Bahasa Indonesia & English NLP
  • Implementation first-steps


Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.


    You will receive the Zoom recording, course books (PDF & HTML files), the dataset for practice, reference notes, and working files via email.


    Show current and prospective employers of your mastery with a signed certificate of completion.


    Be a part of our data-passionate community with 5000+ members and 1000+ alumni.


Workshops in this 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. 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

We will send the materials via email before the workshop starts.

Yes, you will receive a certificate of completion.



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.