Which of the following Machine Learning / Artificial Intelligence topics would you like to learn most on Coursera? | Coursera Community
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Which of the following Machine Learning / Artificial Intelligence topics would you like to learn most on Coursera?

  • 7 December 2018
  • 14 replies
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Userlevel 2
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Hello all -- would love to have your opinion on what you would most like to learn next in the always exciting fields of Machine Learning and Artificial Intelligence! Your voice matters to us. Please vote below!

Please choose your option below!


14 replies

Userlevel 7
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Vidisha works on data science content at Coursera. Your opinion really does matter!

@Liz Here's the data science poll!
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Hello all -- would love to have your opinion on what you would most like to learn next in the always exciting fields of Machine Learning and Artificial Intelligence! Your voice matters to us. Please vote below!
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It would be really great if they could help have an introduction to quantum computing. There is something on coursera but in russian! Quantum computing is hard enough as it is... There are a few offerings from competitors but they are all archived and inactive. And there is one from MIT which costs 2,000 usd per course (for real). An offering from coursera with Ng standard would be a superb addition and I would enrol in a heartbeat.
Thanks
Userlevel 4
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I cant help but feel AI safety & ethics is massively neglected area; Coursera has so many courses now that teach ML, deep learning etc etc but absolutely nothing (as far as I can see) on stuff like algorithmic bias, reward hacking, control problem, etc, etc.

...And if Nick Bostrom is right, this is certainly an area where researchers are desperately needed.
Userlevel 7
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@hamster Do you have any go-to resources for AI safety and ethics?

I just came across this Forbes article that looks at the new AI for Everyone course and also references this report on AI and ethics from the House of Lords Select Committee on Artificial Intelligence: AI in the UK: ready, willing and able?

I am always concerned with ethics so I'm really interested in any AI & ethics resources out there!
Userlevel 4
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@hamster Do you have any go-to resources for AI safety and ethics?
I am always concerned with ethics so I'm really interested in any AI & ethics resources out there!


I don't know of any online courses that cover the material but I can recommend a few resources...

https://www.youtube.com/channel/UCLB7AzTwc6VFZrBsO2ucBMg

^ thats a link to Robert Miles youtube channel. I think he does a good job of introducing problems in AI safety. Unfortunately he doesn't upload very often.

As for books, I think O'Neil's "Weapons of math destruction" does a good job explaining the implications of Algorithmic bias. Bostrom's "SuperInteligence" is a decent overview of the potential threats and possible development paths of AGI.

Other than, depending on your background you can always check out the technical blogs and various papers. "Concrete problems in AI safety" is a good one. Deepminds safety blog is probably worth keeping an eye on (https://medium.com/@deepmindsafetyresearch)

As for Ng's "AI for everyone". Yes, I'm very much hoping this will cover some of the stuff I've listed. But, even if it covers ethics that still leaves zero courses dealing with the technical aspects of AI safety.
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By the way, an offering on reinforcement learning by Andrew, to a similar standard to his stellar courses on ML and DL would also be a hit for sure.
Is it something being considered?
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Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 trillion per annum from their less informed peers by 2020.” predicts Forrester Research.

Although AI has been around since the 1950s, it is only recently that the technology has begun to find real-world applications (such as Apple’s Siri). The investment in AI by both tech giants as well as start-ups has increased 3 folds to $40 Billion as of 2017.

Recent advances in AI have been helped by three factors:
  1. Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media
  2. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data
  3. Greater computing power and the rise of cloud-based services—which helps run sophisticated machine learning algorithms.
AI is important because it can help solve immensely difficult issues in various industries, such as entertainment, education, health, commerce, transport, and utilities.
Userlevel 7
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@antoinesavine Thanks for your question. Yes, we are hoping to offer reinforcement learning content soon!
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@Laura Fantastic. Is it possible to have an idea of the timeline? I am asking because audacity has a well rated nanodegree and I am tempted to take it, but if Coursera is preparing something along the lines of your stellar deep learning spec, then I would rather wait, as long as we are talking first half of 2019.
Thanks
Userlevel 7
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Hi @antoinesavine. I myself do not know the timeline. @Vidisha, do you have any insight on a timeline for reinforcement learning courses?
Userlevel 2
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It would be really great if they could help have an introduction to quantum computing. There is something on coursera but in russian! Quantum computing is hard enough as it is... There are a few offerings from competitors but they are all archived and inactive. And there is one from MIT which costs 2,000 usd per course (for real). An offering from coursera with Ng standard would be a superb addition and I would enrol in a heartbeat.
Thanks


Thanks for the recommendation, Antoine (sorry for my delayed reply)! That's a great idea, and we'll keep that in mind.
Userlevel 7
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It would be really great if they could help have an introduction to quantum computing. There is something on coursera but in russian! Quantum computing is hard enough as it is... There are a few offerings from competitors but they are all archived and inactive. And there is one from MIT which costs 2,000 usd per course (for real). An offering from coursera with Ng standard would be a superb addition and I would enrol in a heartbeat.
Thanks


Hey @antoinesavine! We've opened an ideation forum called Course Suggestions. You might want to post your suggestion for a quantum computing course there.
Userlevel 4
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Hi @Vidisha

To be honest I've too many votes for the above courses, unfortunately, J am able to vote only one. That's OK!
However, I think it would be also good if we have courses on domain expertise in data science which would be really helpful to understand how things are working in real time on different industries/sectors.

Thanks for your support.

Sincerely
Kalyan

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