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Feedback Loop
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any process where the outputs of a system are plugged back in and used as iterative inputs. Feedback loops exist just about everywhere. In nature, the evolutionary "arms race" between predators and prey is a classic example. In business, the practice of taking customer feedback (the output of a product or service) and using it to improve future processes is another commonly used feedback loop. Today, rapid advances in artificial intelligence (AI) and machine learning are helping businesses do more with data. These systems — and their ability to analyze an inhuman amount of data — allow businesses to adjust algorithms, workflows and processes on the fly. Get More Out Of Feedback Loops With AI | Arka Dhar - Forbes
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Feedback loops: How nature gets its rhythms - Anje-Margriet Neutel
While feedback loops are a bummer at band practice, they are essential in nature. What does nature’s feedback look like, and how does it build the resilience of our world? Anje-Margriet Neutel describes some common positive and negative feedback loops, examining how an ecosystem’s many loops come together to make its ‘trademark sound.’ Lesson by Anje-Margriet Neutel, animation by Brad Purnell.
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Feedback loops in data systems - Matthieu Ranger
When 'filter bubbles' came to public attention, it became pressing that systems that consume their own recommendations as data can be subject to noxious feedback loops. In this talk, we go over several examples of feedback loops, then discuss the technical and management issues related. Montréal-Python 74: Virtual Echo http://montrealpython.org/2019/03/mp74/
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Homeostasis and Negative/Positive Feedback
Explore homeostasis with the Amoeba Sisters and learn how homeostasis relates to feedback in the human body. This video gives examples of negative feedback (temperature and blood glucose regulation) and positive feedback (events in childbirth). Handout available here: http://www.amoebasisters.com/handouts
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How Games Use Feedback Loops | Game Maker’s Toolkit
Playing Pyre over Christmas got me thinking about feedback loops: the reward structures in games that can reinforce or balance out winners and losers. In this episode I’ll explain what this all means, and talk about the design of Pyre’s positive and negative loops.
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Automated Feedback with AI
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Future of feedback: Automated Feedback with AI
Speaker: Jan-Hein Gooszen (Technology Enhanced Learning at FeedbackFruits)
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FeedbackFruits Official Video: The Reason Behind Our Journey
FeedbackFruits mission: Improve Learning. Find out more about our initiative to nurture innovation in higher education on a global scale on https://edtech-consortium.com or check out our official homepage at http://feedbackfruits.com !
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Feedback Loops are Creating Consciousness
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Michio Kaku: Feedback loops are creating consciousness | Big Think
One of the great questions in all of science is where consciousness comes from. When it comes to consciousness, Kaku believes different species have different levels of consciousness, based on their feedback loops needed to survive in space, society, and time. According to the theoretical physicist, human beings' ability to use past experiences, memories, to predict the future makes us distinct among animals — and even robots (they're currently unable to understand, or operate within, a social hierarchy). Dr. Michio Kaku is the co-founder of string field theory, and is one of the most widely recognized scientists in the world today. He has written 4 New York Times Best Sellers, is the science correspondent for CBS This Morning and has hosted numerous science specials for BBC-TV, the Discovery/Science Channel. His radio show broadcasts to 100 radio stations every week. Dr. Kaku holds the Henry Semat Chair and Professorship in theoretical physics at the City College of New York (CUNY), where he has taught for over 25 years. He has also been a visiting professor at the Institute for Advanced Study at Princeton, as well as New York University (NYU).
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Synthetic Feedback Loop
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The Wandering Dreamer: An Synthetic Feedback Loop
This experiment uses four machine learning models to create a feedback loop between synthesized images and text. All of the images you see here are fabricated, as is the text that describes each image. Made by Brannon Dorsey using Runway. Source code
1. The first row of images are produced from a class label using BigGAN.
2. The text below is an auto-generated caption of the BigGAN image using Im2Text.
3. The next set of images are synthesized by an Attentional GAN using the auto-generated captions.
4. The text at the bottom classifies the image above it using MobileNet. This class label is then sent back to BigGAN as input to create an infinite loop.
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Recursion
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Recursion for Beginners: A Beginner's Guide to Recursion
Recursion has an intimidating reputation for being the advanced skill of coding sorcerers. But in this tutorial we look behind the curtain of this formidable technique to discover the simple ideas under it. Through live coding demos in the interactive shell, we'll answer the following questions:
- What is recursion, and when is it a good idea and bad idea to use it?
- What's a stack, the call stack, and a stack overflow?
- What are all the confusing ways that recursion is commonly taught?
- Do some problems require recursion? Can recursion do anything a loop can't?
- What is memoization, and how does functools.lru_cache work?
- How do I draw that cool-looking recursive fractal artwork with Python's turtle module?
Beginners will be able to follow this talk. All that is required is a willingness to learn, and a willingness to have the willingness to learn, and a willingness to have the willingness to have the willingness to learn, and... so on. A Python conference north of the Golden Gate
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Thinking Recursively | Microsoft Interview Question | Software Engineer UI/Frontend
Thinking Recursively is very important if you're a Software Engineer. Be it Microsoft Interview, or even while in day to day job, Recursion plays a very important role in Software Engineer's life. In this video, I'll solve a Microsoft Interview Question, just like how candidates do in the interview. Will also tell you how to create a mental model of solution and think while approaching such questions. It's not necessary that you solve the question in the first attempt. Most of the time we have to think step by step and gradually come up to the final solution.
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Can you solve the Towers of Hanoi problem in Python using recursion? SOLUTION INCLUDED
This is a complete explanation of recursion. Recursion is a very useful tool in computer science and data science. Here I show you what recursion is and how to use recursion to solve the Towers of Hanoi problem using Python. I also use recursion to calculate factorial. Want to learn Python? You can buy my course here: http://bit.ly/2OwUA09 Want to ace the Data Science Interview? Over 1000 Data Science Practice Questions with model solutions: http://bit.ly/30ul0nX
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Unintended Feedback Loop
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Models that are an integrated part of a product experience, or what we referred to as data products, often involve feedback loops. When done right, feedback loops can help us to create better experiences. However, feedback loops can also create unintended negative consequences, such as bias or inaccurate model performance measurements... Getting Better at Machine Learning | Robert Chang - Medium
Unintended Feedback Loop - Filter Bubbles
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In December 2009, Google began customizing its search results for all users, and we entered a new era of personalization. With little notice or fanfare, our online experience is changing, as the websites we visit are increasingly tailoring themselves to us. In this engaging and visionary book, MoveOn.org board president Eli Pariser lays bare the personalization that is already taking place on every major website, from Facebook to AOL to ABC News. As Pariser reveals, this new trend is nothing short of an invisible revolution in how we consume information, one that will shape how we learn, what we know, and even how our democracy works. The Filter Bubble | Eli Pariser
In news media, echo chamber is a metaphorical description of a situation in which beliefs are amplified or reinforced by communication and repetition inside a closed system. Filter Bubble | Wikipedia
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How Filter Bubbles Isolate You
In this video, you’ll learn more about how filter bubbles work to automatically curate content for you when you're online. Our text-based lesson We hope you enjoy!
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Filter Bubbles and Echo Chambers
You've probably heard the term Filter Bubble and/or Echo Chamber at least once or twice in the past few months. It's a term that has been circling the media for some time about Facebook and the 2016 U.S. Presidential Election. But what do they mean exactly? How does it relate to the internet or more specifically Facebook and Google? How does it affect you? Watch the video to find out! Don't forget to leave us a comment about what you think and how Filter Bubble or Echo Chamber relates to you! Scene 1 “Filter Bubble” is a theory that the algorithms from companies like Facebook and Google bases the information given to you on data acquired from things like, your search history, your past click behavior, the type of your computer and your location. Therefore, limiting the topics that reach you to a bubble of only your own formulated interests and personalized search subjects. Scene 2 The term was coined by Eli Pariser who wrote a book on this subject explaining that these algorithms are “closing us off to new ideas, new subjects and important information ”. What he means is that you are not given information outside your own political views, religious views or even other data like for example updates on women's rights and animal rights.
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Beware online "filter bubbles" | Eli Pariser
http://www.ted.com As web companies strive to tailor their services (including news and search results) to our personal tastes, there's a dangerous unintended consequence: We get trapped in a "filter bubble" and don't get exposed to information that could challenge or broaden our worldview. Eli Pariser argues powerfully that this will ultimately prove to be bad for us and bad for democracy. Read our community Q&A with Eli (featuring 10 ways to turn off the filter bubble): http://on.ted.com/PariserQA
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Feedback loops in data systems - Matthieu Ranger
When 'filter bubbles' came to public attention, it became pressing that systems that consume their own recommendations as data can be subject to noxious feedback loops. In this talk, we go over several examples of feedback loops, then discuss the technical and management issues related. Montréal-Python 74: Virtual Echo http://montrealpython.org/2019/03/mp74/
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