The behavior of musicophiles has changed along with the evolution of the music industry in the past decades. Previously we conservatively bought music on a compact disc, but now music streaming services are more preferable; such as Amazon Music, Apple Music, Google Play Music, Pandora, Spotify, Youtube Music, to name a few. This is because of the convenience offered by these platforms so that users can search their favorite songs right away without having to bother going to the music store physically.
Users may not have enough time to scan through all available songs and manually create a playlist. Instead, a recommender system is constructed, which eases them to find relevant songs quickly. One example you might have seen before is the “Made For You” feature from Spotify. These personalized playlists are being recommended by grouping similar songs that go well together. How? In the real case, this process is done by combining several recommender algorithms based on users’ activities such as likes, playlist history, or even listening history.
This 3-day online workshop is beginner-friendly to demonstrate how to extract song embeddings using the neural network approach, specifically the word2vec model, to generate song recommendations. Throughout the online course, we will provide participants with hands-on examples and a rich interactive experience. One Instructor and two Teaching Assistants will help participants troubleshoot or help with any difficulties encountered.
NOTE: This workshop will be delivered in Bahasa Indonesia.
Upon completion of this workshop, you will be able to:
Join this workshop and get a chance to win total prizes worth IDR 25.000.000. Terms & conditions: algorit.ma/learn-earn.
PREFACE
PYTHON PROGRAMMING BASICS
WORD2VEC CONCEPT
APPLICATION MUSIC RECOMMENDER WITH SONG2VEC
ADDITIONAL MATERIAL
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.
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. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.
If I don’t have any IT or programming skills, can I still attend this workshop?
Yes, you can still attend the workshop as it is a beginner-friendly workshop.
How to join the interactive-online learning class after I’ve done the payment & registration?
Our system will send you an email containing a link and details to join a Google Classroom.
What platform will be utilized for this online-interactive learning workshop?
Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.
How will the participants receive the learning materials?
Learning materials can be obtain via Google Classroom
Would I receive a certificate after participating in the Workshop?
Yes, you will receive a certificate of completion.
Fafilia is a Data Science Instructor at Algoritma Data Science School. She is a passionate Instructor with expertise in exploratory data analysis and machine learning using Python.
She has been involved in numerous mentoring, data science projects, and consultative data science training for our clients, to name a few:
– Kementerian Kelautan dan Perikanan
– Advance Innovation (AdIns)
– PT Indonesia Asahan Aluminium (Inalum)
PT. Algoritma Data Indonesia.
Menara Kadin, 4th Floor. Kuningan, DKI Jakarta 12950.
WhatsApp: 0816-692-471
Email: community@algorit.ma
Online DSS: Customer Demand Analysis using DBSCAN