Date of Virtual Event: 15th June 2023, 6:30-8:30 PM
Website: https://t.co/MNGNhsyDx0
Registration: https://t.co/QBuqHYqmHc
Registration Deadline: 13th June, 5:00 PM
Two short talks + 45 minutes of virtual roundtable discussions on focused topics.
#llm#AIML#NLP
Opportuntity for UG and Master students who have a strong desire to pursue research in the areas of AI, ML, Data Science and publish papers in top ranked conferences. Eminent faculty mentors offering a diverse range of topics. Know more at https://t.co/sWAY4aNqcP
Fantastic opportunity for undergraduate and master students to work with top faculty and exciting research problems in the areas of AI, Machine Learning, Data Science. Publish papers in top ranked conferences and get exposed to the research ecosystem. https://t.co/sWAY4aNqcP
After an arduous journey over the last two plus years, I am happy to announce that I have written a 300 page book "Trustworthy Machine Learning" that brings together my entire career's work to-date. Please read it at https://t.co/g6pJPDtRyZ and spread the word to your friends.
Hope to catch you at Neurips roundtables:
ML In India, a Billion Opportunities-"India Specific Challenges 1"-Dec 9 (anchor):
https://t.co/0QW8zNUp8C
WiML Mentorship roundtable1 (Dec 10):
Navigating Job Search & Doing Research in Industry (mentor)
#NeurIPS2021#ikdd#WiML2021
I completed my first ultra 100km ( Hennur Bamboo Ultra) in October and won in the female category and was placed 5th overall. Thanks to #dasar for covering this!
Data Science in India 2021 gives you an opportunity to learn about a few large interdisciplinary AI centers that have come up in the top academic institutes in India & interact with the respective leaders. Know more: https://t.co/sIveE1low2
Register here: https://t.co/7bXv3IA5yl
A kaleidoscope of a representative sample of relevant research papers from India in top Data Science conference. More at Data Science in India event.
About the event - https://t.co/sIveE1low2
Registration link - https://t.co/7bXv3IA5yl
@shouryaroy@adagu@lavanyats@mdebdoot
IKDD is looking for student ninjas to join the community and help it grow among the next-generation Artificial Intelligence/Machine Learning/Data Science (AI/ML/DS) enthusiasts.
More details: https://t.co/MB7r4rtOfz
@shouryaroy@adagu@lavanyats@mdebdoot@MiteshKhapra
Scaling ML piplines?
Building model accuracy through monitoring?
Evaluating feature stores?
Testing for biases in ML models?
These questions and more, answered by @swaroopch, @lavanyats, @schaunw, @pingali, @monojitchou, @flippedcoding at https://t.co/x83LdLh5f3
Understanding feature importance not only leads to better models, but also helps explain how the model works.
Short video to see how one can find feature importance using decision trees and random forests....
https://t.co/lvM4xPU4QV
#data#datascience#MachineLearning
@LabSwanand How can I connect with you to understand more some of the student painpoints during the pandemic and how the research community could help ?
@BloreVaccine @notkasvi Please feel free to share or use this in any form that is convenient. Suggestions for modification and additional questions are welcome too (@lavanyats) . 2/2
https://t.co/xJkpkCkBc1
Building Fair & Lovely ML Models.....
AI/ML can inadvertantly amplify the biases in our society (gender, race, age, .. ).
Brief video on some simple metrics to check if your models are Fair...
https://t.co/KFUcfO2dya
#MachineLearning#AIEthics#WomensDay#womenintech
Dr. Shanta saved my mom's life, & gave a 2nd life to 10000+ vulnerable cancer patients - rich & poor alike
Bringing the latest tech to India & service mindset, she was light in dark times for people.
May many more of us be inspired to be like her!
A brief video on the ML Prod Dev lifecycle
https://t.co/9aeNxv43MI
Top takeaways:
**ML product lifecycle is very iterative
**Make models as simple as you can, but no simpler
**Measure the right metrics to create real impact
#MachineLearning#ProductManagement#DataScientist