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Titlebook: Choice Computing: Machine Learning and Systemic Economics for Choosing; Parag Kulkarni Book 2022 The Editor(s) (if applicable) and The Aut

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發(fā)表于 2025-3-23 10:35:00 | 只看該作者
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發(fā)表于 2025-3-23 14:45:00 | 只看該作者
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發(fā)表于 2025-3-23 20:14:36 | 只看該作者
,Introduction: Choosing—What is a Great Deal?,fferent flavours, on other side delicious deserts and on top of it some protein shakes, juices and colourful drinks. What would you choose? The healthiest drink or the calorie-rich tempting desert with attractive packaging you see on the table next to you. Or you are keen to try out something new wh
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發(fā)表于 2025-3-23 22:31:08 | 只看該作者
Choice Modelling: Where Choosing Meets Computing, articles to the best of your knowledge. Of course, from the products available in that shop. Here the only constraints are the availability and reachability. Similarly, let us take a scenario when you are in the same shop with 200 USD in your pocket. Now, you will still try to choose the best artic
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發(fā)表于 2025-3-24 06:01:39 | 只看該作者
ML of Choosing: Architecting Intelligent Choice Framework,Yamagashi”, a car racer and entrepreneur. He elaborated on possible choice architecting while racing the cars. He claims that right now it is driven by analytics and bringing behavioral aspects into play could do wonders. He started racing at much later age but this choice was not a sudden outcome.
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發(fā)表于 2025-3-24 07:13:15 | 只看該作者
Machine Learning of Choice Economics,g learning component that tries to deliver value through learning by improved choosing. In real life, there are a number of choice scenarios where learning can improve choosing abilities to deliver desired economic impact. There could be simple choice scenarios where parents guide kids to choose or
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發(fā)表于 2025-3-24 12:26:21 | 只看該作者
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