Byte Buzz
Byte Buzz
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Use Chat GPT To Write Complex Excel Formula
Download Excel Here: amzn.to/41FyryO
Intro To Chat GPT: ua-cam.com/video/cqea5RPQQs0/v-deo.html
Переглядів: 587

Відео

Using AI To Learn Python FAST For Beginners
Переглядів 98Рік тому
Great book for learning Python: amzn.to/3KqMPp8 Intro to ChatGPT: ua-cam.com/video/cqea5RPQQs0/v-deo.html
ChatGPT Crash Course & Basics For Beginners
Переглядів 191Рік тому
This video description was generated using Chat GPT: Welcome to the world of ChatGPT, a cutting-edge AI technology powered by OpenAI. In this video, we'll introduce you to this revolutionary language model that can have natural and engaging conversations with you. Whether it's answering questions, generating text, or completing tasks, ChatGPT is designed to make your life easier. With its advan...
Understanding Quasiconcave and Quasiconvex Functions
Переглядів 36 тис.3 роки тому
Link to previous video where i discuss convex and concave functions and linear combinations: ua-cam.com/video/nOFXLCCvtm0/v-deo.html
Cournot Duopoly Numerical Example
Переглядів 9 тис.3 роки тому
This is a numerical example of the equilibrium outcome in a Cournot duopoly model.
Understanding Concave and Convex Functions
Переглядів 74 тис.3 роки тому
In this video I break down the formal definition of a concave function and attempt to explain all aspects and variables used in the definition. Being that a convex function is just the opposite in terms of its definition, once one of them is well understood the other is also understood. If anyone has any questions or is still unsure on any concepts covered in the vid put them in the comment sec...
Game Theory: Strategic Form Representation of Very Basic Game
Переглядів 1,5 тис.3 роки тому
I go through step by step what we mean by Strategic Form Representation in Game Theory and apply this framework to a very basic example. That is, a game with 2 players that is static and has complete information.
Euler Equation in Economics - Deriving over an Infinite Horizon
Переглядів 10 тис.3 роки тому
In this video I derive the Euler equation with the one of the key different assumptions that are consumers live over infinitely many periods (have an infinite horizon). I show, how when faced with that, we can derive the Euler equation. Previous video (with only 2 periods): ua-cam.com/video/Y9nViK4SxuA/v-deo.html
Deriving the OLS Estimators in Simple Linear Regression Model - Part 2
Переглядів 28 тис.3 роки тому
This is the second video where I derive the OLS estimators in a simple linear regression model, this time I focus on deriving the second parameter in the model, Beta or the independent variable. Part 1 found here: ua-cam.com/video/EEwzx9UpgsY/v-deo.html
Deriving the OLS Estimators in Simple Linear Regression Model - Part 1
Переглядів 77 тис.3 роки тому
In this video I derive the Ordinary Least Squares Estimates in a simple Linear Regression Model. This video is part 1 of 2.
Euler Equation in Economics - Interpretation
Переглядів 17 тис.4 роки тому
*Note when I draw the graph the y axis should have been U(c) not it's derivative, my apologies for any confusion! In this video I explain the significance of the Euler Equation in a 2 period model and focus on interpretation of the equation. Video where I derive the equation from scratch: ua-cam.com/video/Y9nViK4SxuA/v-deo.html .
Understanding Compact Sets
Переглядів 37 тис.4 роки тому
In this video I explain the definition of a Compact Set. A subset of a Euclidean space is Compact if it is closed and bounded, in this video I explain both with a link to a specific video about closed sets below. Video explaining Epsilon Neighbourhood and Closed Set: ua-cam.com/video/pDQArrVzpSo/v-deo.html
Understanding Open and Closed Sets
Переглядів 38 тис.4 роки тому
In this video I break down Open and Closed sets in a general sense. Video is aimed at those who have just been introduced to set theory who want to get a strong understanding of these key concepts.
Euler equation in Economics - Derived from Scratch Step by Step in Model of Consumption
Переглядів 13 тис.4 роки тому
In this video I derive the Euler Equation in a 2 period Model of Consumption from Scratch.
Supply and Demand Equilibrium Explained for Beginners - Supply and Demand Pt2
Переглядів 1194 роки тому
In this video I explain the concept of equilibrium and how we end up at this point in our model of Demand and Supply. Link to previous video explaining the basics of the graph: ua-cam.com/video/j5_d_oH-jUo/v-deo.html
Simple Introduction Into Demand and Supply Curves For Beginners Pt 1
Переглядів 1764 роки тому
Simple Introduction Into Demand and Supply Curves For Beginners Pt 1

КОМЕНТАРІ

  • @fragamus
    @fragamus 4 дні тому

    Exetra->et cetera

  • @rishiraj5711
    @rishiraj5711 16 днів тому

    Thanks for this.❤

  • @mathiasmbendela7939
    @mathiasmbendela7939 Місяць тому

    It is good but indeed there are some areas that need to be further clearly explained just like what others have oberseved

  • @Yeove
    @Yeove Місяць тому

    Dunno if someone corrected you already, but the proper pronunciation is "oy-ler" not "you-ler"

  • @ivioalves7228
    @ivioalves7228 Місяць тому

    Your are a friend my friend!! Thank you!

  • @nq2c
    @nq2c 2 місяці тому

    this was super helpful thank you!

  • @bilenkeziban6237
    @bilenkeziban6237 2 місяці тому

    Well explained, thank you!

  • @jujum4851
    @jujum4851 3 місяці тому

    Thank you

  • @eliali5716
    @eliali5716 3 місяці тому

    Thank you for your video, but you could have explained it in a shorter video. You just repeated again and again same sentences and same concept

  • @akshar2715
    @akshar2715 4 місяці тому

    Thank you! This video helped me understand with ease. Great explanation

  • @Julian-se6mg
    @Julian-se6mg 4 місяці тому

    Thank you so much! This is the easiest explanation I have found of this exercise. Straight to the point and with a clear explanation.

  • @berke-ozgen
    @berke-ozgen 5 місяців тому

    Nice and short derivation. Kudos for the lecturer!

  • @1ly4
    @1ly4 6 місяців тому

    👍

  • @ezekielasogyire1635
    @ezekielasogyire1635 6 місяців тому

    Wow! Clear illustrations.thank you sir.

  • @Akshay-cj3hq
    @Akshay-cj3hq 7 місяців тому

    but why is alpha an inner function hmm

  • @AtsedeZinabu-dq4vm
    @AtsedeZinabu-dq4vm 7 місяців тому

    great work keep it up

  • @samtux762
    @samtux762 7 місяців тому

    I got the definition, but I have a question. "Most of the time" we deal with open set topology. It is "concidered nice and useful". Why do we suddnly switch to closed sets here? What are the benefits?

  • @arsyed5256
    @arsyed5256 8 місяців тому

    i didnt understand why you are using Yi Instead of Y hat??? kindly u can clear me???

  • @shubrajchuckowree5670
    @shubrajchuckowree5670 8 місяців тому

    excellent, but better use x1 and x2 rather than x and y to avoid confusion

  • @dikshabagh30
    @dikshabagh30 9 місяців тому

    really good video

  • @victoriacorcimaru1731
    @victoriacorcimaru1731 9 місяців тому

    Honestly, a brilliant explanation! 🤩 Short question: other videos on this topic talk about taking the weighted average of x and y. How/where does that fit within your explanation, sir?

    • @slavojivaneie1924
      @slavojivaneie1924 5 місяців тому

      Tl;dr the "weighted average" stuff is supposed to motivate Jensen's inequality from probability. Read "f(E[X])" as "a function of weights" and "E[f(X)]" as "the weighted average of functions." If we apply the probability weights (t,1-t) to the interval endpoints a and b, we get ta+(1-t)b = W1, and if we apply the same weights to corresponding maps of the endpoints, f(a) and f(b), we get tf(a)+(1-t)f(b) = W2. The function f is concave over [a,b] if, for all weights (t,1-t), f(W1) ≥ W2. In other words, the value of a function of the weights (LHS) vs. the value of a weighted function (RHS). Jensen's inequality states that if f is *convex* (so f(W1) ≤ W2), and X is a random variable, then f(E[X]) ≤ E[f(X)]. If we think of taking the expectation of X as applying weights to the values that X can take on, then obtaining the expected value E[X] is much like getting W1. Thus, f(E[X]) is analogous to f(W1). Likewise, if we think of E[f(X)] as the weighted average of the random variable Y=f(X), then E[f(X)] weights f(X) to obtain W2.

    • @victoriacorcimaru1731
      @victoriacorcimaru1731 5 місяців тому

      @@slavojivaneie1924Wow! Thank you!

  • @brookecribbs4018
    @brookecribbs4018 9 місяців тому

    bro why I am watching this for my econ class when I took Calc 1, 2, and 3 years ago and I just so lost

  • @laurapena1234
    @laurapena1234 10 місяців тому

    I love you Man

  • @swatisingh559
    @swatisingh559 10 місяців тому

    This is really good⚘️⚘️

  • @lucienchu9649
    @lucienchu9649 10 місяців тому

    Super clear and concise explanation, thanks.

  • @haqseiitian
    @haqseiitian 10 місяців тому

    thankyou bro...

  • @dirkadrichem5468
    @dirkadrichem5468 10 місяців тому

    How about the sine and cosine function?

  • @sreyanjali
    @sreyanjali 11 місяців тому

    this was very helpful

  • @rohan45
    @rohan45 11 місяців тому

    Great explanation Thank you so much

  • @law9544
    @law9544 Рік тому

    What are u guys majoring in?

  • @muzafferturgut6037
    @muzafferturgut6037 Рік тому

    Appreciated🙏

  • @zakariamh3282
    @zakariamh3282 Рік тому

    I cannot thank you enough. Not only for how well you explain and derived the equation, but also the fact that you don't assume everyone knows the intercept, the slope and other minor details. i have come here to know about the equation, but i did learn a lot more which, for the most part i didn't even know they mattered.

  • @titoadesanya9369
    @titoadesanya9369 Рік тому

    makes sense

  • @shireenkhan6847
    @shireenkhan6847 Рік тому

    Very well-explained. Thank you so much. Please keep on making more videos!

  • @shireenkhan6847
    @shireenkhan6847 Рік тому

    I spent whole day trying to understand this but I finally did thanks to your video. Thank you so much

    • @hopekivuyo8826
      @hopekivuyo8826 4 місяці тому

      I never thought that I would come to understand derivation of estimates easier like this

  • @craigmalcom6294
    @craigmalcom6294 Рік тому

    yes your back.need more vids on economics!

  • @rajtilakpal5583
    @rajtilakpal5583 Рік тому

    Seriously, you need to speak at a lower voice😅

  • @orlandoheredia2380
    @orlandoheredia2380 Рік тому

    Hey, good explanation, but about the strictly concave function, the λ should be ]0,1[, right ? Because if lambda can be 0 or 1, there would be a paradox as f(x) > f(x) in that case.

  • @derejeabebe2828
    @derejeabebe2828 Рік тому

    Very good demonstration, thank you

  • @letseconomics2938
    @letseconomics2938 Рік тому

    How can we prove an algebraically production set is a closed set?

  • @Aaron-kv6vr
    @Aaron-kv6vr Рік тому

    thank you so much

  • @zainabhaider4369
    @zainabhaider4369 Рік тому

    maybe a question. Why do we derive twice! We do not equate the first derivative with zero, as in Rolle's theorem.!! Why do we derive twice and not 3 or 4 times?

  • @fatenexusgaming9297
    @fatenexusgaming9297 Рік тому

    THANK YOU LOVELY EXPLANATION NOW I UNDERSTAND THE LOGIC PART OF IT . SUBSCRIBED AND WILL LOOKING FOR FUTHER VIDEOS

  • @vedangpathak
    @vedangpathak Рік тому

    Teaching Brilliance peaked !!

  • @Lucyferandtheson003
    @Lucyferandtheson003 Рік тому

    Thank you man, but why are we minimizing with respect to a and not x?

  • @rodrigocalixto470
    @rodrigocalixto470 Рік тому

    I don't get it, how can you compare a point, f(λx+(1-λ)y), with a line f(λx) + (1-λ)f(y)?

  • @troublequencherii7890
    @troublequencherii7890 Рік тому

    Thank you

  • @user-lm8pd3xw1h
    @user-lm8pd3xw1h Рік тому

    Your voice is very sexy sorry to people(me included )who meant to study here

  • @DiiAM00NDx3
    @DiiAM00NDx3 Рік тому

    Thank you very much! our prof started right away explaining it in 3 dimensions /using indifference curves and therefore I was a bit lost. Thanks a lot!

  • @kerkebedeley
    @kerkebedeley Рік тому

    It was adorable 😍😍 from Tigray