Automating Supervised Machine Learning Pipeline in Python_Workshop_CGK

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Automating Supervised Machine Learning Pipeline in Python_Workshop_CGK

June 19 @ 11:00 - 12:30 WIB



#Data #Advanced #MachineLearning
June 19, 2021 (Saturday), 11:00 AM to 12:30 PM Jakarta Time (WIB)

The Integrated Machine Learning & AI Blog team will showcase a common framework in python that can be used for every supervised machine learning.
Understanding this framework and its benefits can in turn help in understanding how to automate it for your specific needs. The talk will also highlight why trying multiple models for machine learning project is important and how this can be done efficiently.

The event run-down is as follows:
1) Introduction
2) High-level explanation of aspects that need to be considered in supervised Machine Learning pipeline
3) Run through all of those aspects
4) Q&A


Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!

Q. I’m based outside of Asia Pacific. Can I still join?
A. Absolutely! This is a Global online event. You can join from any part of the world.

Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online webinar is open to people of all genders. We are completely inclusive. #HeLovesData #ZelovesData too

Q. Is this an interactive discussion or just a ‘listen-in’ webinar?
A. Definitely interactive! Your thoughts, feedback, and questions are most welcome and will be entertained during the polling and live Q&A portions at the end of the discussion.

Q. What if something comes up and I need to retract my registration?
A. Please be considerate and let us know if you won’t be able to attend the online meetup a day in advance, so we can offer your place to somebody else.
Contact us and we’ll help you.
The email you need is [email protected].




Thom Ives, Pd.D
Lead Data Scientist @UL Prospector
Thom Ives, Ph.D.: As lead data scientist for UL prospector, Thom has the honor of serving people that have developed a SAAS for the largest and most accurate plastics, paints, coatings, personal care, and cosmetics database in the world. He is their lead and only artisan data scientist. He focuses on automating or speeding up data entry and data updates for plastics technical datasheets, among other projects. He also founded and leads Integrated Machine Learning & AI, which is a small group of data scientists creating helpful educational content and serving startups.
Teena Mary
Junior Data
Teena Mary is a data science practitioner currently doing her Master’s degree in Data Science from Christ (Deemed to be University) in Bangalore, India, and working as a data science intern in a Singapore-based company named A Bachelors’s degree holder in Mathematics, her key area of interest is in Time Series Analysis and is also working on developing her knowledge in the area of NLP. She is always enthusiastic to learn new things and is an active member of the data science community on LinkedIn.
Louis Owen
AI Researcher@Bukalapak
Louis Owen is an AI Researcher at Bukalapak and identifies himself as strong-willed and an effective fast learner. He is a Mathematics major who graduated with honours and under scholarship from ITB, Bandung, Indonesia (one of the top Universities of Indonesia). He is an NLP Enthusiast who is also familiar with working with structured and image data. In addition to his full-time role, he works part-time with the World Bank. He has also interned with Tokopedia, Traveloka, Qlue, and Do-it.







June 19
11:00 - 12:30 WIB
Event Tags:
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She Loves Data