WiMLDS Mysore (@wimlds_mysore) 's Twitter Profile
WiMLDS Mysore

@wimlds_mysore

Founder and Chapter Lead - @URengaraju . Worldwide meetups that support & promote women and gender minorities in data science, machine learning and AI.

ID: 1194900407379587072

linkhttp://wimlds.org/about-the-mysore-team/ calendar_today14-11-2019 08:50:52

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Usha Rengaraju (@urengaraju) 's Twitter Profile Photo

Pics from Indodataweek ....Grateful for having got an opportunity to speak in front of dignitaries from Indo Nordic Innovation Acceleration Cluster , World Bank and other top data science practitioners from AI for social good sector across the globe. #MUSTResearch

Pics from Indodataweek ....Grateful for having got an opportunity to speak in front of dignitaries from Indo Nordic Innovation Acceleration Cluster , World Bank and other top data science practitioners from AI for social good sector across the globe. #MUSTResearch
Harvard Business Review (@harvardbiz) 's Twitter Profile Photo

Before a tough conversation, make sure your motives are in the right place — when we're stressed, they often become selfish. s.hbr.org/2CZjOxr

Bloomberg CityLab (@citylab) 's Twitter Profile Photo

"Companies aren't necessarily taking into account what the actual needs and requirements of cities are when they push these products," says Rachel Thomas, the founding director of USF Data Institute. trib.al/dJR4TpA

UNICEF (@unicef) 's Twitter Profile Photo

School is a place of hope, optimism and preparation for a better world. It is no place for armed violence and murder. #ENDViolence uni.cf/2oKcQFx

François Chollet (@fchollet) 's Twitter Profile Photo

Built-in losses and metrics in Keras follow the signature `loss(y_true, y_pred, sample_weight=None)`. If you have exotic losses or metrics, a simple way to add them w/o having to implement your own training loop from scratch is to define them in an "endpoint layer". Like this:

Built-in losses and metrics in Keras follow the signature `loss(y_true, y_pred, sample_weight=None)`. If you have exotic losses or metrics, a simple way to add them w/o having to implement your own training loop from scratch is to define them in an "endpoint layer". Like this:
Caroline Chavier (@mrscaroline_c) 's Twitter Profile Photo

"It’s crucial #recruiters take steps to offset the gender balance in tech, because tech companies are shaping the future in many ways—a future that half of the population deserves to be part of." fastcompany.com/90435093/this-…

Yann LeCun (@ylecun) 's Twitter Profile Photo

GM is the root cause of the purported war between connectionists and symbolists He created it to make himself relevant. But it does not actually exist. Clamoring that DL should be hybridized with symbol manipulation is useless. Showing how to do it would be useful.

UNICEF (@unicef) 's Twitter Profile Photo

Wherever they are. Whoever they are. Whenever they need us. We’ll never give up until the rights of every child are protected. Are you with us?

WiML (@wimlworkshop) 's Twitter Profile Photo

We are thrilled to announce and eager to extend our sincere gratitude to the inspiring cohort of #WiML2019 MENTORS! Mentorship roundtables are divided into 3 areas: Research (Tables 1–20), Career and Life Advice (Tables 21–40), Industry Career (Tables 41–59). #NeurIPS2019

We are thrilled to announce and eager to extend our sincere gratitude to the inspiring cohort of #WiML2019 MENTORS! Mentorship roundtables are divided into 3 areas: Research (Tables 1–20), Career and Life Advice (Tables 21–40), Industry Career (Tables 41–59). #NeurIPS2019
Zachary Lipton (@zacharylipton) 's Twitter Profile Photo

The double descent phenomenon is described in ~1000 papers & talks over past year. It's featured in at least 1 slide per talk @ last summer's Simons workshop on Foundations of DL. Why is this OpenAI post getting so much attention as if it's a new discovery? Am I missing smtg?

WiMLDS Paris (@wimlds_paris) 's Twitter Profile Photo

[#FridayWiMLDSPaper 📜 curated by Caroline Chavier & Marie Sacksick] "A Tensor Approach to Learning Mixed Membership Community Models" by Prof. Anima Anandkumar, Rong He, daniel hsu & Sham M. Kakade bit.ly/33OnLjy #WiMLDSParis #WiMLDS #WomeninSTEM #TensorMethods

[#FridayWiMLDSPaper 📜 curated by <a href="/MrsCaroline_C/">Caroline Chavier</a> &amp; <a href="/MarieSacksick/">Marie Sacksick</a>] "A Tensor Approach to Learning Mixed Membership Community Models" by <a href="/AnimaAnandkumar/">Prof. Anima Anandkumar</a>, Rong He, <a href="/djhsu/">daniel hsu</a> &amp; Sham M. Kakade bit.ly/33OnLjy #WiMLDSParis #WiMLDS #WomeninSTEM #TensorMethods
Usha Rengaraju (@urengaraju) 's Twitter Profile Photo

Hi All, I will be talking in Bangalore AI and ML meetup group on building Data Science communities. We have two other great speakers lined up Pratap , associate director at Fractal Analytics and Samairan from Yodlee.....meetup.com/Bangalore-AI-M…

Hi All, I will be talking in Bangalore AI and ML meetup group on building Data Science communities. We have two other great speakers lined up Pratap , associate director at Fractal Analytics and Samairan from Yodlee.....meetup.com/Bangalore-AI-M…
Yann LeCun (@ylecun) 's Twitter Profile Photo

People are biased. Data is biased, in part because people are biased. Algorithms trained on biased data are biased. But learning algorithms themselves are not biased. Bias in data can be fixed. Bias in people is harder to fix. nytimes.com/2019/12/06/bus…

Agnieszka Kamińska (@agaka00) 's Twitter Profile Photo

When being a #kaggle #expert is not enough, you should follow Usha Rengaraju's lead. Usha just earned triple mastery! 🚀🔥 Women+ in ML/DS community is lucky being represented by such a great professional who is willing to share their knowledge! 💎