1.2 Machine learning lecture 3  (Page 3/14)

So if – well, suppose you want to evaluate your hypothesis H at a certain point with a certain query point low K is X. Okay? And let’s say you want to know what’s the predicted value of Y at this position of X, right? So for linear regression, what we were doing was we would fit theta to minimize sum over I, YI minus theta, transpose XI squared, and return theta transpose X. Okay? So that was linear regression. In contrast, in locally weighted linear regression you’re going to do things slightly different. You’re going to look at this point X and then I’m going to look in my data set and take into account only the data points that are, sort of, in the little vicinity of X. Okay? So we’ll look at where I want to value my hypothesis. I’m going to look only in the vicinity of this point where I want to value my hypothesis, and then I’m going to take, let’s say, just these few points, and I will apply linear regression to fit a straight line just to this sub-set of the data. Okay? I’m using this sub-term sub-set – well let’s come back to that later. So we take this data set and I fit a straight line to it and maybe I get a straight line like that. And what I’ll do is then evaluate this particular value of straight line and that will be the value I return for my algorithm. I think this would be the predicted value for – this would be the value of then my hypothesis outputs in locally weighted regression. Okay?

So we’re gonna fall one up. Let me go ahead and formalize that. In locally weighted regression, we’re going to fit theta to minimize sum over I to minimize that where these terms W superscript I are called weights. There are many possible choice for ways, I’m just gonna write one down. So this E’s and minus, XI minus X squared over two. So let’s look at what these weights really are, right? So notice that – suppose you have a training example XI. So that XI is very close to X. So this is small, right? Then if XI minus X is small, so if XI minus X is close to zero, then this is E’s to the minus zero and E to the zero is one. So if XI is close to X, then WI will be close to one. In other words, the weight associated with the, I training example be close to one if XI and X are close to each other. Conversely if XI minus X is large then – I don’t know, what would WI be?

Student: Zero.

Instructor (Andrew Ng) :Zero, right. Close to zero. Right. So if XI is very far from X then this is E to the minus of some large number and E to the minus some large number will be close to zero. Okay? So the picture is, if I’m quarrying at a certain point X, shown on the X axis, and if my data set, say, look like that, then I’m going to give the points close to this a large weight and give the points far away a small weight. So for the points that are far away, WI will be close to zero. And so as if for the points that are far away, they will not contribute much at all to this summation, right? So I think this is sum over I of one times this quadratic term for points by points plus zero times this quadratic term for faraway points. And so the effect of using this weighting is that locally weighted linear regression fits a set of parameters theta, paying much more attention to fitting the points close by accurately. Whereas ignoring the contribution from faraway points. Okay? Yeah?

how do they get the third part x = (32)5/4
can someone help me with some logarithmic and exponential equations.
20/(×-6^2)
Salomon
okay, so you have 6 raised to the power of 2. what is that part of your answer
I don't understand what the A with approx sign and the boxed x mean
it think it's written 20/(X-6)^2 so it's 20 divided by X-6 squared
Salomon
I'm not sure why it wrote it the other way
Salomon
I got X =-6
Salomon
ok. so take the square root of both sides, now you have plus or minus the square root of 20= x-6
oops. ignore that.
so you not have an equal sign anywhere in the original equation?
Commplementary angles
hello
Sherica
im all ears I need to learn
Sherica
right! what he said ⤴⤴⤴
Tamia
hii
Uday
what is a good calculator for all algebra; would a Casio fx 260 work with all algebra equations? please name the cheapest, thanks.
a perfect square v²+2v+_
kkk nice
algebra 2 Inequalities:If equation 2 = 0 it is an open set?
or infinite solutions?
Kim
The answer is neither. The function, 2 = 0 cannot exist. Hence, the function is undefined.
Al
y=10×
if |A| not equal to 0 and order of A is n prove that adj (adj A = |A|
rolling four fair dice and getting an even number an all four dice
Kristine 2*2*2=8
Differences Between Laspeyres and Paasche Indices
No. 7x -4y is simplified from 4x + (3y + 3x) -7y
is it 3×y ?
J, combine like terms 7x-4y
how do you translate this in Algebraic Expressions
Need to simplify the expresin. 3/7 (x+y)-1/7 (x-1)=
. After 3 months on a diet, Lisa had lost 12% of her original weight. She lost 21 pounds. What was Lisa's original weight?
what's the easiest and fastest way to the synthesize AgNP?
China
Cied
types of nano material
I start with an easy one. carbon nanotubes woven into a long filament like a string
Porter
many many of nanotubes
Porter
what is the k.e before it land
Yasmin
what is the function of carbon nanotubes?
Cesar
I'm interested in nanotube
Uday
what is nanomaterials​ and their applications of sensors.
what is nano technology
what is system testing?
preparation of nanomaterial
Yes, Nanotechnology has a very fast field of applications and their is always something new to do with it...
what is system testing
what is the application of nanotechnology?
Stotaw
In this morden time nanotechnology used in many field . 1-Electronics-manufacturad IC ,RAM,MRAM,solar panel etc 2-Helth and Medical-Nanomedicine,Drug Dilivery for cancer treatment etc 3- Atomobile -MEMS, Coating on car etc. and may other field for details you can check at Google
Azam
anybody can imagine what will be happen after 100 years from now in nano tech world
Prasenjit
after 100 year this will be not nanotechnology maybe this technology name will be change . maybe aftet 100 year . we work on electron lable practically about its properties and behaviour by the different instruments
Azam
name doesn't matter , whatever it will be change... I'm taking about effect on circumstances of the microscopic world
Prasenjit
how hard could it be to apply nanotechnology against viral infections such HIV or Ebola?
Damian
silver nanoparticles could handle the job?
Damian
not now but maybe in future only AgNP maybe any other nanomaterials
Azam
Hello
Uday
I'm interested in Nanotube
Uday
this technology will not going on for the long time , so I'm thinking about femtotechnology 10^-15
Prasenjit
can nanotechnology change the direction of the face of the world
At high concentrations (>0.01 M), the relation between absorptivity coefficient and absorbance is no longer linear. This is due to the electrostatic interactions between the quantum dots in close proximity. If the concentration of the solution is high, another effect that is seen is the scattering of light from the large number of quantum dots. This assumption only works at low concentrations of the analyte. Presence of stray light.
the Beer law works very well for dilute solutions but fails for very high concentrations. why?
how did you get the value of 2000N.What calculations are needed to arrive at it
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