Intro to Machine Learning (Part 2)
#Beginner #Data #Machine Learning
Date/Time:
October 21, 2023 (Saturday), 11:00 AM to 12:30 PM SGT
Get hands on knowledge of how to do basic exploratory data analysis (EDA) on a dataset:
– Learn about supervised learning approaches of regression and classification
– Gain understanding of unsupervised learning approach of clustering analysis
– Learn and apply CRISPDM, the industry standard for building machine learning models
– Get exposure to notebooks through Kaggle notebooks – an interactive development tool used for analysis and model development
Pre-requisites :
1. Preliminary understanding of basic machine learning concepts covered in part 1 is a plus.
2. Those who have familiarity with python will find it easier to follow along the hands on section
3. Kaggle account (https://www.kaggle.com/), and Kaggle notebooks will be used for the hands on session. For more information on Kaggle check this link.
Target Audience:
This course is for those who want to form a hands on understanding of key concepts in machine leaning and take their first steps in building a machine learning model following an industry standard approach.
Speaker
Aishwarya Ramakrishnan, Vice President, Banking and Financial Services Industry
Aish has 14+ years of experience leading digital and data transformation and automation initiatives in the financial services industry.
She is a machine learning and AI enthusiast, a proud member of She Loves Data for more than 3 years, a dog lover, and also auctions her original artwork for charity.
Madhura Ganguly, Senior Advisor Data Science, Dell Technologies
Madhura has 11 years of experience working as a data science professional across different industry domains like marketing, retail and supply chain.
She has a passion for teaching and has been part of various technical training programs throughout her career. Madhura enjoys cooking and loves to travel.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. This webinar is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Intro to Machine Learning (Part 1)
#Beginner #Data #Machine Learning
Date/Time:
October 7, 2023 (Saturday), 3:00 PM to 4:30 PM SGT
This course will set the foundations for those interested to pursue hands-on machine learning. There are no pre-requisites to this course.
– Understand how ML works and how it became such a ground breaking technology
– Know about buzzwords in ML, different types of ML and how they are leveraged
– Gain exposure to the different job families that work with ML
– Learn about how ML is applied on data to accomplish tasks
– Demystify myths about Machine Learning
– How to avoid a Machine Learning Disaster!
– Know about the tools of ML
– Prepare for your next step in learning machine learning
Target Audience:
This is for people who want to gain introductory knowledge of ML without getting overwhelmed by buzzwords. This is free and open for all.
Speaker
Aishwarya Ramakrishnan, Vice President, Banking and Financial Services Industry
Aish has 14+ years of experience leading digital and data transformation and automation initiatives in the financial services industry.
She is a machine learning and AI enthusiast, a proud member of She Loves Data for more than 3 years, a dog lover, and also auctions her original artwork for charity.
Madhura Ganguly, Senior Advisor Data Science, Dell Technologies
Madhura has 11 years of experience working as a data science professional across different industry domains like marketing, retail and supply chain.
She has a passion for teaching and has been part of various technical training programs throughout her career. Madhura enjoys cooking and loves to travel.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. This webinar is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: [email protected]
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Demystifying Artificial Intelligence & Machine Learning
Sign up now for this FREE webinar on Artificial Intelligence and Machine learning applications!
Automating Supervised Machine Learning Pipeline in Python_Workshop_CGK
#Data #Advanced #MachineLearning
June 19, 2021 (Saturday), 11:00 AM to 12:30 PM Jakarta Time (WIB)
AGENDA
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
FAQs
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].
Speakers
