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Almost every Data episode is about him learning about a new life experience and this time on Star Trek TNG Data learns to understand suicide. I love the immediate concern Geordi has for Data when he brings up having a similar experience in the past :(

Yaffa the Lesbian Witch🖖

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31,541 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

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How does today’s college experience contrast with the past? Well, according to the data ... there’s less learning and less teaching. Our new Short has the details.

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We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

Andrew Ng

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13,350 次观看 • 1 年前

McLaurin on the questions about his age - The data is the data but some people are outliers…In January I took a screen pass 60 yards for a TD

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JP Finlay

66,393 次观看 • 11 个月前

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We can only trust X 🚨 META/ Facebook planning to build data centers in China, store their data in China, and then GIVE THE CHINESE GOVERNMENT ACCESS to the data “In this document, Facebook is talking about making Chinese user data available to the Chinese government because they're going to store that data in China. Is that correct?” “Correct” “When you store that data in China, Americans who exchange messages or other information with Chinese Facebook users, that would mean the Chinese government could get access to the American data as well, is that correct? “Through the POP servers? Potentially.” “And Facebook was willing to take that risk?” “Yes. There was a lot of discussion about this and ultimately yes.” “I mean, this is, this is extraordinary. This is exactly contrary to what Facebook has represented for years here. They're willing to build data centers, store data in China. They are willing explicitly to give the Chinese government access to it”

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80,854 次观看 • 1 年前

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Big_Wealth❤️‍🔥

11,486 次观看 • 4 个月前

President Trump has extracted Indian data from the Prime Minister. The most valuable asset that India has is the data we produce. Any talk about AI has to be based on data, and our 1.4 billion people produce the largest amount on the planet. This includes medical data, data on movement of people, and communication data. All of it has been signed off by PM Modi. And the final thing is that he has promised President Trump that we will buy billions of dollars of imports from the United States every year. : LoP Shri Rahul Gandhi 📍 Keralam

President Trump has extracted Indian data from the Prime Minister. The most valuable asset that India has is the data we produce. Any talk about AI has to be based on data, and our 1.4 billion people produce the largest amount on the planet. This includes medical data, data on movement of people, and communication data. All of it has been signed off by PM Modi. And the final thing is that he has promised President Trump that we will buy billions of dollars of imports from the United States every year. : LoP Shri Rahul Gandhi 📍 Keralam

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Dan Howells

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ASML CEO on Elon Musk's Data Centers in space and Terafab: "I think you need a certain amount of data centers and they will be in space, they will be on the earth. I think the discussion about data centers in space is to address another potential bottleneck in the ecosystem, which is energy. I think the discussion around putting data center in space is there because if you do that, the energy consumption or the energy availability will be there, about trying to solve another potential big issue, which is energy for data center. I think the Terafab is an example of a major fab project."

DogeDesigner

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🚨Avi Loeb promises to reveal truth about UFOs... Why I don't Believe him. Loeb just appeared on NewsMax where he promised to tell the truth if he discovered alien life. He also went on to say: "It's not about what is being said in social media. There are lots of crackpots and a lot of people with conspiracy theories. That's completely irrelevant when we see objects that the Pentagon is unable to identify. It's a serious matter, because if adversarial nations produce those for espionage, we need to figure this out. And therefore, there needs to be more research, better data, rather than us obsessing with past reports that are incomplete. We should now build better sensors to protect the United States." Not so long ago Loeb threw a weak debunk based purely on opinion about the VASCO teams transient work. He has also stated that old data is useless and we need to focus on new data. This tells us what Loeb is really saying. "Better data" "Better sensors" translates into 'funding for the Galileo Project. That is why he is not interested in historical data, that is why he threw Beatriz and her team under the bus. While we are pushing for transparency about legacy programs, retrievals and such, Loeb is pushing for funding for his own gains. #ufotwitter #uapX #Disclosure

Skywatch Signal

19,706 次观看 • 1 个月前

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QVAC

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every question in this clip is an ownership question, especially data because when everyone has access to the same intelligence, the only input that separates your business from the next one is the data you own your data is decades of decisions, customers, mistakes, and edge cases that exist nowhere else on earth that is the moat and enterprises are waking up to the fact that they've been leaking it one api call at a time my prediction is this: data ownership is going to absolutely matter in the world we're going into and whoever's building the infrastructure for it is going to have a very good decade.

every question in this clip is an ownership question, especially data because when everyone has access to the same intelligence, the only input that separates your business from the next one is the data you own your data is decades of decisions, customers, mistakes, and edge cases that exist nowhere else on earth that is the moat and enterprises are waking up to the fact that they've been leaking it one api call at a time my prediction is this: data ownership is going to absolutely matter in the world we're going into and whoever's building the infrastructure for it is going to have a very good decade.

Adeniyi.sui

13,419 次观看 • 26 天前

Simulation is a key enabler for embodied AI. It allows us to massively scale up data collection in order to experience years in minutes. Nvidia's Isaac Lab allows for rapid learning of new skills in just a few days, which directly transfer to the real world.

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RIVR

25,295 次观看 • 1 年前