2. Linear Algebra c squared financial

by mmotEChnologY

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MIT 18.S096 वित्त में अनुप्रयोगों के साथ गणित में विषय, फॉल 2013 पूरा पाठ्यक्रम देखें: प्रशिक्षक: चोंगबम ली यह व्याख्यान पाठ्यक्रम के लिए आवश्यक रैखिक बीजगणित की समीक्षा है, जिसमें मैट्रिस, रैखिक परिवर्तन, eigenvalue, और eigenvectors शामिल हैं। लाइसेंस: Creative Commons BY-NC-SA अधिक जानकारी के लिए और अधिक पाठ्यक्रम पर .

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2. Linear Algebra

2. Linear Algebra

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2. Linear Algebra
c squared financial
आप हमारी वेबसाइट पर केवल ऑनलाइन पैसे कमाने के तरीकों के बारे में सबसे पूर्ण और विस्तृत जानकारी देख सकते हैं: यहाँ और देखें
आप हमारी वेबसाइट पर केवल ऑनलाइन पैसे कमाने के तरीकों के बारे में सबसे पूर्ण और विस्तृत जानकारी देख सकते हैं: यहाँ और देखें

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35 comments

Nikhil Garg 24/11/2021 - 3:41 Chiều

How can be a m*n matrix be a diagonal matrix?

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валерий соколов 24/11/2021 - 3:41 Chiều

===(2,2)(3,3)???

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валерий соколов 24/11/2021 - 3:41 Chiều

incorrect decomposition

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валерий соколов 24/11/2021 - 3:41 Chiều

The teacher was not prepared

a lot of mistakes

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Stephen Kurni Cloud 24/11/2021 - 3:41 Chiều

The first 15 mins of the lecture have slapped me in the face. I know nothing about matrices.

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Nguyễn Công Thiên Phú 24/11/2021 - 3:41 Chiều

I still don't understand what the application of linear algebra is in stock market ☹️ Is there anyone could do me a favor and tell me how those kind of mathematics can be applied in stock market or in data analytics please? I would feel so so thankful for that 🙏

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Owlet Kami 24/11/2021 - 3:41 Chiều

So confusing when an instructor is walking you through something and as you are paying attention they go " oops made a mistake at the very beginning, let me just explain everything again "

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William Hughes 24/11/2021 - 3:41 Chiều

The sweltering math theoretically provide because force cosmetically stir alongside a wooden pump. redundant, magical radio

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spyinsecret007 24/11/2021 - 3:41 Chiều

This is all familiar to me. However seeing the use of different alphabet makes it new again😂 My mind was spinning trying to reconnect what I learn in hs and what was teach in the video😂 Ex: we use A instead of U. Thank you for the video!

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Neeraj Tatikola 24/11/2021 - 3:41 Chiều

why's he using sidewalk chalk

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Astarag Mohapatra 24/11/2021 - 3:41 Chiều

Why people are all in praise for this video, as if MIT will enroll from the comment section of a YouTube video. The content was not entirely helpful and was very difficult to grasp.

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Thiago Vasco 24/11/2021 - 3:41 Chiều

You can watch as many MIT lectures as you want on the same topic and you will always learn something new.

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Mikhail Putilov 24/11/2021 - 3:41 Chiều Reply
TG MEDİA 24/11/2021 - 3:41 Chiều

I think $LINA might reach $0.02 soon I just bought bags of $LINA on #MXC_Exchange today trade it here http://www.mxc.com/trade/easy#LINA_USDTo

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Ricardo M 24/11/2021 - 3:41 Chiều

Am I the only one who is worryingly soothed by the electrical humming sound on the background?

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Wall Street Wolf 24/11/2021 - 3:41 Chiều

Holy Moley… it never stops!

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Lu Gan 24/11/2021 - 3:41 Chiều

Good mathematician, poor teacher, teaching is a skill where you need to overcome the curse of knowledge, how do you explain to someone something you take for granted. You only develop this skill through the experience of finding out what students get stuck on and refining your definitions until you present it clearly. This is more of a 'read from the text' style and just regurgitates what he's been trained in. Though I understand this is just a review lecture and the facility are throwing him a bone.

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Steve Banana 24/11/2021 - 3:41 Chiều

The lecturer is now working as a portfolio manager at Millennium Management, one of the more successful investment firms out there.

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Warrior1Spartan 24/11/2021 - 3:41 Chiều

Question: at 44:34 for reference, the equation reads v1^T*Lambda2 v2/Sigma1. How does it go from that to Lambda2/Sigma1 * v1^T*v2? Or did I miss something?

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susan lio 24/11/2021 - 3:41 Chiều

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Melissa Chen 24/11/2021 - 3:41 Chiều

Can someone explain why lambda 0 is the eigen value of multiplication of 1(@ Perron-Frobenius Theorem)??? What does that mean by “multiplication of 1"

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Zunel Mhrz 24/11/2021 - 3:41 Chiều

Just came here to read some comment after he said " 32:23 Just look like totally nonsense".. . feels like that 🙂 _

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Seiko van Paath 24/11/2021 - 3:41 Chiều

Some notable Timestamps:
0:01:16 Matrices
0:05:22 Eigenvalues & Eigenvectors
0:11:40 Diagonalization
0:23:04 Singular Value Decomposition (SVD)
1:03:20 Perron-Frobenius Theorem

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MedCreativityPlant 24/11/2021 - 3:41 Chiều

Watch the instructor writing at 2x speed – lose grip on reality

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Amanpreet Singh Gala 24/11/2021 - 3:41 Chiều

I think this usually happens when you have thoughts and knowledge flowing at a greater speed than what you need to explain the class as a whole. This is what a scholar in action looks like. Mr. Lee , reminded me of my professor who used to brim with knowledge on a subject, and I pray if I could become half as good as him. Mr. Lee is a great instructor and its a review class, and not an elementary class of a school. So, e & oe. and we should be matured enough to read between the lines and be revision ready with him. If we are, then there should be no problem.

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Anton Gusarov 24/11/2021 - 3:41 Chiều

Sense as if they don't know the application of their eigen stuff for stocks. Their answer wasn't convincing.

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Fidel Esteves 24/11/2021 - 3:41 Chiều

Incredibile, professor. I have seen this content several times and now suddenly you gave me another way to understand some linear transformations.

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Prasantik Ghosh 24/11/2021 - 3:41 Chiều

anybody wants to complete the course together?

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Nade Kang 24/11/2021 - 3:41 Chiều

This whole series of math in finance is more like a "Survey of Financial Mathematics". Only if you go through proofs and definitions like matrices, vector space, determinant, eigenvectors/eigenvalues and linear transformation, then go into probability theory(should be advanced probability theory as this is where they mention sigma-algebra and probability measure), statistics, regression (better with matrices), and then real analysis, advanced calculus, stochastic calculus (focus on Martingale), then you'll have an idea what they're really talking about.

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Stuart Campbell 24/11/2021 - 3:41 Chiều

When I try and download the course direct from Youtube the audio is very static sounding ! You are being jammed MIT !

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Bucket Sniper 24/11/2021 - 3:41 Chiều

did he mean a matrix A is ORTHOGONALLY diagonalizable if there exists an ORTHOGONAL (not orthonormal) matrix U such that A=UDU(inverse)

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Bucket Sniper 24/11/2021 - 3:41 Chiều

v can not be the zero vector, for eigenvalue and eigenvector, he forgot that

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Neeraj Aggarwal 24/11/2021 - 3:41 Chiều

3Blue1Brown is great

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flavio Canteros 24/11/2021 - 3:41 Chiều

46:55 comienza la accion!

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Reza Kian 24/11/2021 - 3:41 Chiều

This guy is a great lecturer. Clear and concise.

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