Listening non-stop for 150min per week, for 16 weeks 4000$ (your tuition)..

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The CSE 471. Commercial. Listening non-stop for 150min per week, for 16 weeks 4000$ (your tuition).. Re-viewing all the lecture videos on Y outube 100000$ (in lost girl friends/boy friends) Redoing the in class exam at home 30000$ (more lost family time) - PowerPoint PPT Presentation

Transcript of Listening non-stop for 150min per week, for 16 weeks 4000$ (your tuition)..

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• Listening non-stop for 150min per week, for 16 weeks– 4000$ (your tuition)..

• Re-viewing all the lecture videos on Youtube– 100000$ (in lost girl friends/boy friends)

• Redoing the in class exam at home– 30000$ (more lost family time)

• Keeping up with the 17,578,940 billion bytes of email/blog– 20$ (skimming cost) + 10000$ (Brain frying cost)

• Spending most of your life these last four months hacking lisp or doing home works or writing blog comments for CSE 471– Priceless…

The CSE 471 Commercial

????What is Stockholm Syndrome and why is it relevant to CSE471?

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SAT

EMHypothesis Prior

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Representation Mechanisms: Logic (propositional; first order) Probabilistic logic

Learning the models

Search Blind, InformedSAT; Planning Inference Logical resolution Bayesian inference

How the course topics stack up…

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Chapters Covered• Table of Contents (Full Version)•      Preface (html); chapter map

Part I Artificial Intelligence      1 Introduction      2 Intelligent Agents Part II Problem Solving      3 Solving Problems by Searching      4 Informed Search and Exploration      5 Constraint Satisfaction Problems      6 Adversarial Search Part III Knowledge and Reasoning      7 Logical Agents      8 First-Order Logic      9 Inference in First-Order Logic     10 Knowledge Representation Part IV Planning     11 Planning (pdf)     12 Planning and Acting in the Real World

• Part V Uncertain Knowledge and Reasoning     13 Uncertainty     14 Probabilistic Reasoning     15 Probabilistic Reasoning Over Time     16 Making Simple Decisions     17 Making Complex Decisions Part VI Learning     18 Learning from Observations     19 Knowledge in Learning     20 Statistical Learning Methods     21 Reinforcement Learning Part VII Communicating, Perceiving, and Acting     22 Communication     23 Probabilistic Language Processing

    24 Perception     25 Robotics Part VIII Conclusions     26 Philosophical Foundations     27 AI: Present and Future    

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Rao: I could've taught more...I could've taught more, if I'd just...I could've taught more...TA-Trio: Rao, there are thirty people who are mad at you because you taught too much. Look at them.Rao: If I'd made more time...I wasted so much time, you have no idea. If I'd just...TA-Trio: There will be generations (of bitter people) because of what you did.Rao: I didn't do enough.TA-Trio: You did so much.Rao: This slide. We could’ve removed this slide. Why did I keep the slide? Two minutes, right there. Two minutes, two more minutes.. This music, a bit on reinforcement learning. This review. Two points on bagging and boosting. I could easily have made two for it. At least one. I could’ve gotten one more point across. One more. One more point. A point, Will. For this. I could've gotten one more point across and I didn't.

Adieu with an Oscar Schindler Routine.

Schindler: I could've got more...I could've got more, if I'd just...I could've got more...Stern: Oskar, there are eleven hundred people who are alive because of you. Look at them.Schindler: If I'd made more money...I threw away so much money, you have no idea. If I'd just...Stern: There will be generations because of what you did.Schindler: I didn't do enough.Stern: You did so much.Schindler: This car. Goeth would've bought this car. Why did I keep the car? Ten people, right there. Ten people, ten more people...(He rips the swastika pin from his lapel) This pin, two people. This is gold. Two more people. He would've given me two for it. At least one. He would've given me one. One more. One more person. A person, Stern. For this. I could've gotten one more person and I didn't.

Top few things I would have done if I had more time• PERCEPTION (Speech; Language; Vision…)• Reinforcement Learning; Bagging/Boosting• MDPs & Planning under uncertainty and incompleteness• CSP and structural properties of constraint graphs• Multi-agent X (X=search,learning..)• First order logic• Be less demanding more often (or even once…)

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Rao: I could've taught more...I could've taught more, if I'd just...I could've taught more...TA-Trio: Rao, there are thirty people who are mad at you because you taught too much. Look at them.Rao: If I'd made more time...I wasted so much time, you have no idea. If I'd just...TA-Trio: There will be generations (of bitter people) because of what you did.Rao: I didn't do enough.TA-Trio: You did so much.Rao: This slide. We could’ve removed this slide. Why did I keep the slide? Two minutes, right there. Two minutes, two more minutes.. This music, a bit on reinforcement learning. This review. Two points on bagging and boosting. I could easily have made two for it. At least one. I could’ve gotten one more point across. One more. One more point. A point, Will. For this. I could've gotten one more point across and I didn't.

Adieu with an Oscar Schindler Routine.

Schindler: I could've got more...I could've got more, if I'd just...I could've got more...Stern: Oskar, there are eleven hundred people who are alive because of you. Look at them.Schindler: If I'd made more money...I threw away so much money, you have no idea. If I'd just...Stern: There will be generations because of what you did.Schindler: I didn't do enough.Stern: You did so much.Schindler: This car. Goeth would've bought this car. Why did I keep the car? Ten people, right there. Ten people, ten more people...(He rips the swastika pin from his lapel) This pin, two people. This is gold. Two more people. He would've given me two for it. At least one. He would've given me one. One more. One more person. A person, Stern. For this. I could've gotten one more person and I didn't.

Top few things I would have done if I had more time• PERCEPTION (Speech; Language…)• Reinforcement Learning; Bagging/Boosting• MDPs & Planning under uncertainty and incompleteness• CSP and structural properties of constraint graphs• Multi-agent X (X=search,learning..)• First order logic• Be less demanding more often (or even once…)

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--Marvin Minsky

Here is hoping you too experienced a sense of loss this semester…

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