Very good.... Sir can we apply for remote internships as a machine learning scientist

you are the best

Such an concise and apt explanation. Thank you so much. May God bless you.

ABC industries Ltd., has a new product that they expect gas great potential. At the moment they have two courses of action open to them To test market (SI) and to drop product (S2). If they test it, it will cost them Rs. 50,000. The response could be either positive or negative, with probabilities 0.70 and 0.30, respectively. If it is positive, they could either market it with full effort or drop the product. If they market with full scale, then the result might be low, medium or high demand and the respective net payoffs would be Rs. 1,00,000, Rs. 1,00,000 and Rs. 5,00,000, These outcomes have probabilities of 0.25, 0.55 and 0.20 respectively. If the result of the test marketing is negative, they would decide to drop the product. If at any point they drop the product there is a net gain of Rs. 25,000 from the sale of scrap. All financial values have been discounted to the present. Draw a decision tree for the problem and indicate the most preferred decision. Sir can you help with this question

Thanks very helpful

These videos have been an absolute life saver - it takes a very complex topic from a very long textbook and makes it super accessible and easy to understand. Thanks very much for the effort in making these videos.

Hi YongWang there is an OOP exercise 2 that you created (CO558 Autumn Term 2020/2021) please would you share your solution. I would appreciate it

Nice.

Good.

Wonderful Video.

At 2:52, the selected cell supposed to be the first one of the second row as the method is Least Cost yeah? 🤔

very helpful

Hello! The link for the run file is not accesible it redirects me to the university page. Thanks in advance

汪老师我爱你，拯救了我的成绩

thanks bro

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十分适合中国学生的讲课节奏和思路发展，很好的复习课

Thank you clear explanation. I have a question. How we determine the profit range to change?how about slack and surplus?

nice, it's very helpful thank you☺

best video ever

Sharma )🫣

May I have slides?

The channel needs much more reach to bring such a mesmeric content to the front ... very underrated channel in comparison to the quality you deliver sir. Hats off to You for your contribution !

if u read ur textbook without an example its real black magic that is written down on those pages, but with an example its very easy to understand!

same as kzbin.info/www/bejne/pIC5eJdviqp_grc ?

WoW🎉🎉🎉

is this the generalisation of the assignment version? is it guaranteeing optimality for tsp?

5:50 can I ask,, why is it from u1v2 go to u2v2 and not go to u1v1?

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were the overage and underage probabilities swapped (i.e: mislabeled)?

Yong Wang, you are an outstanding teacher! I keep having one aha moment after another. Thank you so much!

Good video, if may show everything to end

Constraint not defined error in file

How do we solve Big M Problems through this?

these are the best OR lectures i have ever enjoyed short and contentiful

Thank you..

Briefly explained, nice and well planned lessons. I learned some concepts and techniques which I did not understand properly in my previous class.

Bro use 3 mins to save my Grade！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！

讲得不错，就算是英文也能理解

Hi! I am loving your videos. I don't suppose you have the powerpoint slides still to possibly distribute?

thank you so much, this is really helpful to me!

A very good video, thanks for your effort. I hope that it will help with my exam tomorrow

内容清晰 感谢

Thank you for this well informed video

Love how u make it look easy to understand

Thank you Yong, that was very instructive and more comprehensible that sympy's documentation.

Excellent explanation, but I have a question: Can the inside variable be an outside variable in the next itreation and what is the reason?

Hey, even after 4 year it's still actual, thank you for your efforts!

thank you for making the series.

Is this MODI?