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MIT Institute for Data, Systems, and Society
Добавлен 30 окт 2015
The mission of IDSS is to advance education and research in state-of-the-art, analytical methods in information and decision systems; statistics and data science; and the social sciences, and to apply these methods to address complex societal challenges in a diverse set of areas such as finance, energy systems, urbanization, social networks, and health. Visit idss.mit.edu.
Information about accessibility can be found at accessibility.mit.edu/.
Information about accessibility can be found at accessibility.mit.edu/.
Clean Electricity and the Path to Net Zero: Methods and Insights
IDSS Distinguished Seminars Spring 2024 - Jesse Jenkins
Просмотров: 140
Видео
SDSCon 2024 - Philippe Rigollett
Просмотров 1,1 тыс.3 месяца назад
Transformers are Clustering Machines
SDSCon 2024 - Sendhil Mullainathan
Просмотров 3523 месяца назад
Machine Learning for Scientific Discovery
SDSCon 2024 Student & Postdoc Lightning Talks
Просмотров 1263 месяца назад
SDSCon 2024 Student & Postdoc Lightning Talks
SDSCon 2024 - Vladimir Koltchinskii
Просмотров 2763 месяца назад
Functional estimation, bootstrap chains and high-dimensional Gaussian approximation
Integrating Behavioral Economics and Machine Learning
Просмотров 8285 месяцев назад
Sendhil Mullainathan - University of Chicago
How Words Lead to Justice: Modeling Language Change in Two Abolitionist Movements
Просмотров 1127 месяцев назад
IDSS Distinguished Speaker Seminar Fall 2023 - Lauren F. Klein, Emory University
Strategic Partnerships with IDSS: Aporta and BREIT
Просмотров 30811 месяцев назад
Together with Aporta, a social impact lab founded in Peru by the business conglomerate Breca, IDSS is helping to provide tailored access to graduate level data science education for Peruvian nationals. Aporta has launched the Brescia Institute of Technology (BREIT) to train data scientists who can inform decision-making in Peruvian industry, society, and policy. In the spring of 2023, learners ...
DataNation, S1, Ep 1 - 'Analytics, are they ruining sports?'
Просмотров 24111 месяцев назад
Fans argue that analytics are ruining sports. Professional teams say they aren’t. And sports bettors are finding that data may be their new secret weapon. Liberty and Scott investigate if tracking data in sports will eventually ruin the game. They’re going to the co-founder of the MIT Sports Lab Anette “Peko” Hosoi, and president of the New England Revolution Brian Bilello to find out what the ...
Day Two: Panel - Global Education Online
Просмотров 143Год назад
Karene Chu (MIT) Milind Kopikare (President, Great Learning North America) Lucia del Pilar Haro Gonzales (Manager, BREIT (Advanced Program in Data Science & Global Skills) Devavrat Shah (MIT) John Tsitsiklis (MIT)
Day Two: Panel - Statistics & Human Health
Просмотров 201Год назад
Emery Brown (MIT) Marzyeh Ghassemi (MIT) Maia Majumder (Harvard Medical School and Boston Children’s Hospital) Suvrit Sra (MIT) Caroline Uhler (MIT)
Day Two - Balaji Prabhakar (Stanford University)
Просмотров 350Год назад
The Role of Time in the Design of Distributed Systems
Day Two - Panel: Climate Change & Sustainability
Просмотров 264Год назад
Day Two - Panel: Climate Change & Sustainability
Day Two - Jon Kleinberg (Cornell University)
Просмотров 531Год назад
Day Two - Jon Kleinberg (Cornell University)
Day One - Panel: Equity, Justice, AI & Automation
Просмотров 208Год назад
Day One - Panel: Equity, Justice, AI & Automation
Day One - Panel: Smart Infrastructure Systems
Просмотров 427Год назад
Day One - Panel: Smart Infrastructure Systems
Day One - Panel: Spread of Misinformation & Collective Action
Просмотров 172Год назад
Day One - Panel: Spread of Misinformation & Collective Action
Day One: Panel - Statistics & Computation
Просмотров 755Год назад
Day One: Panel - Statistics & Computation
Day One - Michael Jordan (UC Berkeley)
Просмотров 1,6 тыс.Год назад
Day One - Michael Jordan (UC Berkeley)
Day One - Opening & Introductory Remarks
Просмотров 309Год назад
Day One - Opening & Introductory Remarks
WiDS Cambridge 2023 Panel: Women in Entrepreneurship
Просмотров 105Год назад
WiDS Cambridge 2023 Panel: Women in Entrepreneurship
WiDS Cambridge 2023 Plenary Speaker Hamsa Balakrishnan
Просмотров 721Год назад
WiDS Cambridge 2023 Plenary Speaker Hamsa Balakrishnan
WiDS Cambridge 2023 Plenary Speaker Laura Hatfield
Просмотров 208Год назад
WiDS Cambridge 2023 Plenary Speaker Laura Hatfield
WiDS Cambridge 2023 Panel: Data, Climate Change, and Global Health
Просмотров 97Год назад
WiDS Cambridge 2023 Panel: Data, Climate Change, and Global Health
감사합니다
Truly amazing
Amazing
jake is indeed a perfect professor
The paper is very well presented, Great work!
How does one apply this to Distillation Column Controls for Crude Towers when Crude Quality is changing?
What's the point of skipping the important part but wasting a huge amount of time talking about unimportant things? I am really wondering whether the presenter truly understand how to proof the bound
说真话就容易被封的时代，大家就学会了闭嘴。
発音悪いから意味取りにくい。
not at all
Nice discussion
God bless U and thank U
This woman is an incredibly smart and talented lecturer. Her Stanford lecture series on RL are among the best out there. Great
Nice!
Slight Turkish accent
How did you understand? Some examples please.
very classy ,she is the pride of Turkish people
24:37
So rushed! I wish he had more time to go into greater detail.
Nate Silver is a fricking fraud Change my mind
Found this GEM
Grande Abadie
how's project 2 going
Poorly
what is the prerequisite to understand this video
undergrad level statistics and basic understanding of machine learning models with some high school level algebra, that would be my guess.
and high school matrix notation and physics
@@user34274 thankyou
This woman is an incredibly irritating lecturer. She ends sentences at a high pitch. Annoying.
This is exactly the talk I was looking for....excellent.
I'm will be registering for my first class in Robotics today. I'm very excited!
How is it going?
A great discussion!
Loved the talks
Anima made a list of people she wants to cancel web.archive.org/web/20201214233656/twitter.com/AnimaAnandkumar/status/1338282250614411264
This woman made a list to cancel people web.archive.org/web/20201214233656/twitter.com/AnimaAnandkumar/status/1338282250614411264
Levine stareing at his cellphone all the time
Does anyone know where can I find the slides of this presentation?
just saw Xia's lecture video. thanks for sharing
I have a question. Is it possible to have predictor variables of different frequencies (annual, monthly, etc) within the same synthetic control model?
Lots of this depends on your question, but generally, yes. So for example, I'm currently working on a paper for my statistical methods course at Georgia State University. I'm modeling the spread of the Coronavirus, given the implementation of lockdown policies in the United States. 8 total units, 1 treated, 7 controls. My population variable is annual. But my outcome, change in COVID cases, is daily. So take Georgia, where I live. The population is 10 million-ish. We wouldn't expect the population to change that much over time, so the variable is kind of a constant. Whereas the growth rate of COVID, for example, changes almost daily. The issue isn't so much the level of aggregation, the important thing is about the quality of your data.
@@jaredgreathouse3672 Understood, thank you Jared!
@@akshayabalaji4097 you're welcome. What are you studying?
@@jaredgreathouse3672 Undergraduation in economics
@@akshayabalaji4097 Okay. Do you want to use the synthetic control design in your own research?
thank you
Is Anima daughter of Anandkumar (Super 30) programe ?
lol
@Aditya Wagh she is originally from Mysore.
She did her ug in Electrical engineering from IIT Madras.
👏
Great Talk!!
Lex Fridman got me here :) Good talk. If anyone’s wondering, I believe this is Emo’s talk: ruclips.net/video/uWADBSmHebA/видео.html
Lecture starts at 1:10
Casual Inference? Probably you meant Causal inference
That was very interesting.
Thats amazing
Good
From literature? He means he named his talk on Reinforcement Learning after BDSM erotica?
Delivers great
Great lecture!
I appreciated the history of reinforcement learning before it became super popular. It helps put everything into perspective
Fantastic talk!
I love professor Roberts! attended her seminar at Stanford recently, very thoughtful.
Excellent !
total nonsense... where is incomplete information in this formulation?