I want to talk about transcription study, and specifically, a beautiful solo by Bill
Evans. What I want to try to get an insight into is, well how's...what his is conception?
How is he hearing? How is he conceiving of the form? How is he phrasing? He's not just
hearing this, but he's hearing this, that's related to it. So, if we look at the notes.
It starts on the C minor with a G, okay, chord tone. Also, the root of its dominant. Next
note is a C sharp, what's that? A tritone relationship to the root of the dominant.
The next note is a D, it's the fifth of the dominant chord. When I harmonize it with the
one chord, as Bill does, we get this built in tension between the two harmonies. Coexisting
at the same time. I need to understand not just the chord I'm looking at. I also need
to hear and understand what other harmonies are related to it. Repetition is a part of
music. It's a part of musical composition, you know. A standard tune is not A B C D.
It's A A B A. He's an octave higher this time. The first time, that is down there. This time,
it's up here. The consideration is linear. The hearing is linear. Not vertical.
For more infomation >> Jeff Colella - Piano Masterclass - Transcription Studies: Bill Evans - Duration: 2:01.-------------------------------------------
【BuQiuRen】What to Do When You Get Knocked Out? Let Me Show You 《PUBG Mobile》 - Duration: 0:53.
hello, i'm BuQiuRen, welcome to watch and subscribe my Youtube Channel
DK-BuQiuRen Official Channel
AH!!!
can't see him
keep moving x100000
keep moving x100000
[laughing]
he can't hit me, he can't turn around
in front of me bro!!
shoot me!! x3
[laughing]
he can't shoot me because i made him stuck there
he can't turn to me, he just can't turn
you know that? i keep blocking him, make him can't turn his head
it's impossible for him to point his gun at me
[laughing]
so funny
tik tok
-------------------------------------------
Caught on camera: Do you recognize these people? Police say they robbed a store and pulled gun on an - Duration: 2:39.
For more infomation >> Caught on camera: Do you recognize these people? Police say they robbed a store and pulled gun on an - Duration: 2:39. -------------------------------------------
what to say to a girl you like for the first time - Duration: 4:00.
You like a girl and looking for some of the things to stay with her for the first time
in this video am going to teach you some of the things to say with her and that comes up shortly
Hi welcome to my YouTube channel i am idris and in this channel we do a tips
video strategy video advice on relationship so if you have not subscribe consider subscribing
so that you don't miss out videos just like this first impression last longer some of
the things you say with a girl for the first time are the things that make her so intreting
in you so in this video am going to break down a step by step of some of the things
to say with her I also have video on how to toast a girl how to talk to a girl for the
first time I will link all of it in the description of this video make sure you check it out is
going to help you so some of the things to say with a girl for the first time when you
reach a girl for the first time you should start by saying Hi or Hello just to get her
attention once you call her attention her focus will always be on you so once you say
hi its help you to get her attention but once she notice you already you don't need to
say hi so the second step is you should start by asking questions once you say hi and she
reply you and you get her attention start by asking her how are you how is your days
asking her such type of questions make her so interesting in you and having conversation
with you so after you have ask her how are you how is your days once she reply you you
should start by complimenting her once you compliment her its make her so interesting
comfortable with you and also make her so interesting having the conversation with you
and keep the conversation longer you should start by complimenting her entirely maybe
on her dressing or maybe on her look or maybe a particular thing that she wear you can start
by complimenting i like the way you dress I like your beauty you're looking good you're
looking so beautiful once you compliment her it make her so interesting in having a conversation
with you so after you compliment her the next thing you should do is by asking her about
work or school why you should ask about such things is you are showing her care you care
so much about her and girls like guys that care so much about them so you should start
by asking her how is school how is work or how is she doing you know once you ask such
type of questions and she reply you then you pick the conversation after that you should
tell her some of the interesting things about her some of the things that you like about
her and some of her weakness but not necessary and how she can improve as well and the last
thing is you should change the topic why you are having a conversation with her when you
keep on the same topic or keep talking about the same thing make the conversation dull
and you're supposed to keep the conversation flow you should change the topic by connecting
the conversation like you can say what would you like to go today and once she tell you
maybe she say she would like to read a perticular textbook so you should discuss a little about
whatever she reply so thanks for checking out this video I hope you found this video
helpfull don't forget to subscribe if you have not subscribe also give this video a
like and share with your friends if you have any question post it in the comment section
below i will appreciate that see
you in my next video
-------------------------------------------
【BuQiuRen】See My 'Death From Above' Kill? Teammate: You Are God! 《PUBG Mobile》 - Duration: 0:56.
hello, i'm BuQiuRen, welcome to watch and subscribe my Youtube channel
DK-BuQiuRen Official Channel
i feel like they are not shooting us
they are fighting
teammate: fly x4
teammate: they headshot me, wtf?!
teammate: nice...perfect
leader: eh??
teammate: eh??
i'm so sad, brother
die the most handsome one
tik tok
-------------------------------------------
You Choose - Duration: 2:04.
James Schramko here, and I want to share a shocking truth that is quite profound.
I remember attending a workshop and a facilitator had come into our workplace,
and at the time I was running a Mercedes-Benz dealership for a living.
And one of the mechanics there was around 65 years old and when this lady
said, "You can choose what you want and you can be in charge of that," he actually
burst into tears because he had never considered that he had control over his
own life. He literally went from school to being an apprentice mechanic and then
being a mechanic and that was it. Do you sometimes find yourself traveling
through life and wondering, you know, how did you get here? Well, the chances are,
you've never actually thought about where you want to be. So, one thing a
mentor did with me, he painted this metaphor of us being at Grand Central
Station and we look up on the board and we can see all the different stations
that we could buy a ticket to and then we decide where do we want to be.
Will we be happy when we get there? Is this what we'd like to have? And then we
go and buy the ticket and we get on the train and that is the journey. And we're
on those tracks and we're so determined to get to that place. We're
not going anywhere else. We won't get distracted. And this was a very handy
idea. It's also covered in Maxwell Maltz's book Psycho-Cybernetics. This
visualization that you can actually mentally imagine things before they
actually happen and that can actually improve your results. If you're a dart
thrower or a basketball player, visualizing achieving the outcome you
want in advance of doing the exercise actually improves the chances of you
getting the success. So, think about this, where do you actually want to be? Because
you're in far more control than you could ever possibly imagine. I'm James
Schramko, and I talk about concepts like this in my book, Work Less Make More. It's
available on Amazon and also Audible if you prefer to listen.
-------------------------------------------
SRAM DUB Bottom Bracket Tool (Unique Design for 2019) - Duration: 7:12.
Installing and removing First's 28.99 dub compatible bottom brackets using First's new
sram dub bottom bracket toolset With this new unique toolset you can easily
install and remove 41 42 and 46 millimeter bottom brackets that accept sram's 28.99 millimeter
crank A wrench specifically for the BSA bottom bracket
is included separately In this video we'll demo the toolset using
the 41 millimeter bottom bracket A light smear of grease on both the bottom
bracket and the bb shell ensures smooth installation and removal
We install one side at a time starting with the drive side
This piece will fit into the bb shell on the non-drive side
This will fit directly into the bottom bracket's inner diameter and press it into the bb shell
The bottom bracket's press-in bracket fits into the bottom bracket unit's inner diameter
An eight milimeter allen wrench is all you need to easily press any 41, 42 or 46 millimeter
bottom bracket into the bottom bracket shell
With the bottom bracket fully pressed into the bottom bracket shell simply unscrew the
bolt from the press-in bracket You can then install the other bottom bracket
cup into the left side With one cup already installed you need to
reverse the tool's drive piece since it must now rest inside and brace against the already
installed bottom bracket cup When the bottom bracket cup is installed simply
remove the pieces and store them back in the case
Both sides are now snugly installed and Harry is pretty happy with that
These are the tool components you'll need to remove a 28.99 millimeter inner diameter
bottom bracket
The split steel-hitch which interfaces directly with the bottom bracket cup fits onto the
end of the driver
The press-fit bracket becomes the vessel that holds the bottom bracket cup as you are pressing
it out of the bottom bracket shell It needs this adapter in order to sit exactly
against the bottom bracket shell There is a separate ring adapter for 41 42
and 46 millimeter bottom bracket shells in this toolset
Mount the split steel hitch to the driver inside the bottom bracket shell
The split steel hitch expands over the end of the driver then further expands inside
the bottom bracket cup to be removed Screw the retaining cup onto the bolt until
it fits flush against the bottom bracket shell With the eight millimeter allen wrench press
the bottom bracket out of the bottom bracket shell
The whole lot comes out together All that remains is to remove the bottom bracket
cup from the retaining cup
To remove the other side the split steel hitch can be mounted onto the driver and engaged
with the bottom bracket cup in one movement
Press out the cup
and retrieve it Remove the adapter
Pack everything away ready for next time Having used the toolset once or twice you'll
find it is possible for bottom bracket installation or removal on both sides to take no more than
one minute Thanks for watching and make sure you click
that subscribe buttom so as not to miss out lots more like this throughout the year
-------------------------------------------
Will You Be Replaced? Dangers of Automation - Universal Basic Income - Duration: 3:26.
robots are set to replace humans in the workplace by 2050 creating massive
Unemployment
Universal basic income may be the only answer to our problem
Really really truly this can't be the best solution the world can
come up with humans have an uncanny ability to be incredibly versatile and
creative while the robot has the ability to be many multiple times better than a
human at a specific job it cannot do thousands upon thousands of tasks like a
human and their creative ability is limited by what we give them to work
with without human intervention robots would have no creativity problem-solving
skills or capacity even roots teaching themselves tasks still require
parameters to follow and objectives to meet the creative destruction of
automation the replacing of humans with robots in the workplace is a real
problem for a lot of manufacturing jobs it leads to plant closures and small
towns built around these one source of income vanish into the Rust Belt many
like Elon Musk believe that robots will completely replace humans in the future
and we'll have to turn to a universal basic income to tackle massive
unemployment I do not think that we'll ever need to turn to a universal basic
income for a few simple reasons we will cover these in four phases what will
happen and how they will affect the world first let's take a look at what I
believe is the biggest killer of jobs to include specifically manufacturing jobs
in the United States this chart here from the feds site shows that during
downturns jobs that have been hit the hardest
these downturns were created by government regulations and monetary
policies gone wrong this is where I lay the blame but let's move on from that
and tackle the creative destruction that is removing workers through automation
these numbers are not taken from anywhere specific but it still manages
to illustrate the concept let's say you have 10 workers pre automation that
create a hundred tons of output we now add automation and all ten jobs are
destroyed it will now take two workers to create the same tonnage one to run
the manufacturing and make repairs another for administration and so forth
the economy is now net negative eight jobs now when we look at this chart it
illustrates the demise of traditional manufacturing with autumn ization
possibly scale exponentially without restraints if automation is allowed to
scale jobs will be created as people are needed to fix manage and direct work
this will be assuming a few things humans ability to consume is unlimited
to job creation will be allowed to continue at a faster rate than it is
being destroyed the best way to allow this is to fix the monetary system in
government flaw that create economic crashes and
slowdowns some government is needed to create stability which is the greatest
key to growth but too much government creates instability this also assumes
that the grid is upgraded to support the energy demands and the last and most
important piece is that the people involved are retrained and educated and
the education system is revamped to support this new style of workplace by
this rather than replacing the employee you create each workers output capacity
exponentially greater the key is to get the public to stop doing things that
make unemployment like getting Liberal Arts degrees, failure to seek new job skills
as jobs are being outsourced and companies failure to retrain staff this
also assumes that things like taxes will go down and allow money to flow into the
economy to create the demand for these products by this way people will not be
replaced but magnified perhaps more people will simply be on-call for 15
hours a week and address problems in the system then press the on button again
the key to humans is their resilience and ability to be versatile creative
organize and plan for the future while robots can do one job many multiples
better than a human its scope of use is very narrow I do not believe that we
will need to turn to a universal basic income for these reasons this has been
my noriko and don't forget to Like and subscribe to the channel
-------------------------------------------
Jeff Colella - Piano Masterclass - Horizontal Improvisation - Duration: 2:26.
I want to talk to you about the importance of melody, and chord tones, and improvisation,
and understanding how music works.
The thirds, the sevenths, the things that provide the fundamental direction of harmony.
That's where the energy is.
That's where the tension and resolution is.
The chromaticism that occurs, the surrounding of chord tones, they provide color and interest
along the way.
But, you know, for my money, they're not the meat and potatoes of the music.
So, we don't hear a sharp 9 by itself.
We hear it in relationship to the fundamental...
So, I hear this resolving there, to the fifth of that chord.
I can hear it resolving up.
We learn to hear music in motion, music going somewhere.
As opposed to being so focused on a vertical sensibility, which an over emphasis on chord
scale seems to be promoting.
I got to get to there.
I got to get to there.
Because that's where the music is going, now I can find...
I can find more abstract ways of doing that, but I still go to get there.
-------------------------------------------
OPPO F11 PRO new, latest update mobile, today smartphones New series Electronics devices Top Mobiles - Duration: 2:02.
dear viewers I will start my giveaway as soon as possible so please support
and help me to grow my channel thanks for watching my giveaway contest rule is
given in the description box rule number one you should like my videos
number two you should subscribe this channel press the bell icon number three
you should share this video any of your social media number four
write comment in the comment section as all done all the best guys
if you enjoyed this video please like it share comment and subscribe my channel
press the bell icon for latest update thank you very much
-------------------------------------------
Decoding the ECG Level 2: Calculate heart rate , measure waves and intervals, calibration in ECG/EKG - Duration: 15:20.
[Content_Types].xml ^i7+ J&B0Z HwnM ZwB` _rels/.rels jH[{ l0/% word/_rels/document.xml.rels {-;mC
:-)H .l|!8[s ]#5/ word/document.xml >mA$$ ^Iab) )Yep p}[f v4>}~| k1Og q-X* 0>Qw c`W6
GJ/18\* `h(3 8(c^ #~dI oNor 6c!0g? r~f7 'VTN 2}bT !bqg IT^4 _j^Y @jH_?1^f 1/@7@ 4;"I +R4U
mdk .Wn7 =;~( #%h| 29(Z 8=7( -$/e=| L_+S JiMH <cwF$; YE5D 7T|m 7<~L 3L|x 'MT7uWKo- al`7
!%sO oiMs W\+ _4<] E1=< kVBc Y+ke q2@r 6xTw fXMX z<Wl b/GqH u(sx a;EkfK Ms>: .,2$@ !>Lg
E2fVy 5F8( [g}; s}cZ5_ cMK3 E|d>8)p P(e&3 jSRU aN^N D<MELD O@DX ['87 *U4> DG-| word/theme/theme1.xml
[=Wq I\'A1 TcCBc P$$Lt dsrC (mZt 6kKx G.fx :>vn n!td[; 8=Fm LZI0 v$03 5}4Onb P83& =6NG
ua.Ub =!Xu u{M' tsWf ?(yu word/settings.xml q[T^ ;cd> zheX #R{6 oq15nPK aUt# WP|A Y_s_)
m'~So word/webSettings.xml b~}5 Ujex *jQ, 3>`hg -ukR ovrw ~.dY SQ?m8 '<bX docProps/core.xml
`,Wr T1.7S HFJ%a &tK6 docProps/app.xml
%5-g #a>0 JapC [/$i( word/styles.xml G>;q JD6= EM&" 5~8+ 2pXoX 'GV/ _c>/=d> X9zwe ~TCG
<Fs<i bf_o 1]hS tP)2 s6%c dRX%4[ F4nU~R F4n5 u?vw)Uy< w?Fb ,3E&H 6VL'4 t^-: Ouw*"92 `c7p
aaTJX p`TyF eR*Etlm #:O@~D dTHA bTHA bvG q:^]_ !*Xj !*LjP% !*Xj Pzz1xa UKMR 'g?!Hj\ UKMR
W-5I UKMR UKMR m l* eK'm
word/numbering.xml BDR e; Wck rDc B[VU aPB_ F6a1N jwZ~ ?6dpp D \Q obz} 9Obihj {zdq word/fontTable.xml
cqH\ TB~vbo OGzp )P;L k)zH& [Content_Types].xmlPK _rels/.relsPK
word/_rels/document.xml.relsPK ]#5/ word/document.xmlPK word/theme/theme1.xmlPK word/settings.xmlPK
word/webSettings.xmlPK docProps/core.xmlPK docProps/app.xmlPK word/styles.xmlPK word/numbering.xmlPK
word/fontTable.xmlPK
-------------------------------------------
How To Increase The Lifetime Value Of Your Customers - Duration: 1:53.
James Schramko here. Today, I'm going to share with you a tip for making a lot
more money from your same customers. Simply do this: ask your customers what
else they buy or survey them. And what you'll find is they're making plenty of
purchases. If they're buying stuff from you
they're definitely buying stuff from other people because they're buyers.
So make an inventory: what other things do they buy? In my case, when I was selling
information and coaching for online marketing, I knew people were buying
software tools. I started out as an affiliate selling online website
development software. So these days I also make sure I recommend for my
clients the quality tools that I use in my own business because people want to
know what I use. Also, I know someone who's buying marketing information is
buying plenty of other marketing information so it makes sense for me to align
myself with software providers and educators who have courses, who are teaching
things that I don't necessarily teach but my customers need to know and
they're buying anyway. So that's my tip today. I know it's strikingly simple. Find
out what your buyers are buying elsewhere and see if you can become an
affiliate or maybe you want to add this to your product lineup as an easy win
because the easiest person in the world to convince that they should get
something from you is someone who's already purchased from you. And they have
that rapport, they have the trust, they've got the return on investment, they got
the results so they're listening and they're easily accessible usually via
email. Certainly within memberships, podcasts
videos, Instagram, wherever. Put your offer out there, you may be surprised. I'm James
Schramko. If you've liked this concept, it's part of what I talk about in my
book, Work Less Make More. It's available on Amazon and Audible. I hope you can get a
copy.
-------------------------------------------
Five Ways Your Safety Depends on Machine Learning – The Dr. Data Show - Duration: 11:46.
♪ I love it when you call me big data ♪
Welcome to The Dr. Data Show, I'm Eric Siegel.
Your safety depends on machine learning.
This technology protects you from harm every day
by guiding the maintenance of bridges,
buildings, and vehicles,
and by guiding healthcare providers
and law enforcement officers.
This puts you in good hands.
Hospitals, companies, and the government
use machine learning to combat risk,
actively protecting you from
all sorts of dangers and hazards,
including fires, explosions, collapses, crashes,
workplace accidents, restaurant E. coli, and crime.
And I thought lions and tigers and bears were bad.
This works by using data to predict when
and where these hazards are most likely
and deploy inspections
and preventative measures accordingly.
That is, flag the riskiest buildings,
bridges, vehicles, and restaurants for a check-up.
This kind of predictive prevention is more
and more becoming a safety standard.
I'm gonna tell you about five ways
that these data driven safety measures keep you safer.
But first, a bit more on how it works.
The technology for this job is machine learning,
when computers learn from the experience encoded in data.
Given data on, say, the history of many bridges
and which ones deteriorated to become risky,
the computer learns to predict which bridges
should be flagged for inspection A-S-A-P.
When deployed for safety purposes
and for other business and government purposes,
machine learning is also known as predictive analytics.
It's not a cure-all.
Unfortunately, there's no way to achieve
a 100% guaranteed security in this life,
but machine learning contributes a singular improvement.
It stands as a unique, novel approach to lowering risk,
tipping the odds in favor of more safety.
Since predictive prevention is different
from other risk management approaches,
it always potentially helps,
regardless of what other approaches are also being adopted.
Machine learning as it's used in general
improves the efficiency of all kinds of processes
and when applied to procedures that protect,
this translates to lower risk.
So let's give due respect and appreciation for data
and in particular its pricelessly predictive power,
which delivers this and other tremendous benefits.
Here are some example insights that help predict peril,
which were told to us by data.
Hurricanes with female names like Katrina
and Maria are more deadly.
A study of the most damaging hurricanes in the US
in recent decades showed that those with more feminine names
killed almost three times as many people
as those with more masculine names.
Psychological research suggests this may
result from implicit sexism.
People perceive female hurricanes as less risky,
underestimating the danger and taking fewer precautions.
Speaking of hurricanes,
Walmart's data showed that Strawberry Pop-Tart sales
blow up by a factor of about seven just before a hurricane.
This is thought to be people stocking up
on nonperishable comfort foods.
And people with low credit ratings
are more likely to crash their car,
according to insurance companies.
Experts theorize this is 'cause your financial
responsibility could reflect
your responsibility behind the wheel,
although that's not conclusive.
In any case,
it's another example of data predicting mishaps.
Okay, now as promised,
here are five ways that machine learning
keeps you safer every day.
By the way, you can actually find the details
about most of these examples in the notes for my book,
Predictive Analytics.
The notes are available for free at PredictiveNotes.com.
Number one, fortify bridges, buildings,
and infrastructure in general.
Lives are saved by prioritizing inspections
according to the risk levels calculated
for each of these kinds of structures.
The New York City Fire Department uses predictive
analytics to flag buildings with the highest risk of fire.
Con Edison identifies manholes with five times
the average risk of dangerous incidents
like explosions or fire.
And researchers in civil engineering predict
which bridges are deteriorating,
in part by using machine learning
to automatically detect cracks in the concrete
from automatically scanned images of bridges.
Also, the City of Chicago has identified homes
that have more than double the risk
of lead poisoning incidents than average.
This serves to proactively flag
rather than the more common reactive
steps taken after poisoning has been detected.
Number two, prevent traffic accidents
and other transportation mishaps.
Car companies and the military use machine learning
to make driving safer to detect when a vehicle's driver
is not alert due to distraction, fatigue, or intoxication,
and to predict when vehicle parts will fail
in order to proactively plan maintenance.
And there's no stopping autonomous vehicles,
a development largely driven by
the promise of improved safety records
in comparison to the recent,
century-long experiment during which
we allowed humans to drive them.
Self-driving cars run on machine learning,
which identifies objects in the vicinity,
predicts their movement, and optimizes navigation.
Train companies are also on the right track.
They predict broken tracks,
which is the leading cause of severe accidents,
and individual wheel failures.
And the maritime industry stays afloat by predicting
which large ships will experience a dangerous incident.
Each risk level is calculated by the vessel's age,
type, carrying capacity, origin, ownership,
management, and other factors.
Number three, stave off workplace injuries.
For each team of workers at their oil refineries,
globally, the company Shell predicts the number
of safety incidents that will transpire
and assesses which factors make the biggest difference,
such as a how measurably engaged employees are,
which the company believes has a big impact
on decreasing accidents.
Another factor,
which applies to working environments in general,
Accident Fund Insurance found that certain medical
conditions such as obesity and diabetes
are predictive of which occupational injuries
will be highest in cost in order to target workers
accordingly for preventative measures.
And researchers at the National Institute
for Occupational Safety and Health
apply machine learning to determine
which preventative practices,
be they ergonomic or concerning trips and falls,
are most important for each industry.
Number four, strengthen healthcare.
Predictive medicine is an exciting
and rapidly developing application
area for machine learning,
which is used to diagnose conditions
and also to predict outcomes.
For diagnosis, a machine learning model inputs
all kinds of clinical features, test results,
and even entire MRIs or other medical images
to assess the probability of various diseases,
one model per disease,
such as diabetic retinopathy,
which is the fastest growing cause of blindness,
as well as various kinds of cancer.
Often, it does so as well as, or even better, than doctors.
As for predicting outcomes,
machine learning foretells surgical infections, sepsis,
HIV progression, premature births,
hospital readmissions, and even death.
In fact, there's an entire episode of The Dr. Data Show
on predicting death,
which you can find at TheDoctorDataShow.com.
By flagging high-risk cases,
additional precautions can be targeted accordingly.
And, even before you need to go to the hospital at all,
city governments such as Boston and Seattle
preemptively safeguard you from food poisoning
by predicting which restaurants
will have health code violations
in order to prioritize inspections.
In some cases they're able to improve
these predictions by inputting Yelp reviews,
things people write about a restaurant can sometimes
reveal that it's not up to snuff in the kitchen.
And finally, number five, toughen crime-fighting.
If the rule of law is the cornerstone of society,
enforcing it as effectively as possible is foundational.
Predictive policing deploys machine learning
to guide law enforcement decisions
such as whether to investigate or detain,
how long to sentence, and whether to parole.
In making such a decision,
judges and officers take into consideration the probability
output by a predictive model that a suspect
or defendant will be convicted for a crime in the future.
These models base their calculations on factors
such as the defendant's prior convictions, income level,
employment status, family background, neighborhood,
education level, and the behavior of family and friends.
Machine learning also drives rehabilitation.
The Florida Department of Juvenile Justice
makes rehabilitation assignments based in part
on the predicted risk of future offenses.
(quirky electronic music)
And that wraps up another high-stakes
episode of The Dr. Data Show.
I'm Eric Siegel, thanks for watching.
Hit like and share this video
if you think your friends would also be interested
in five ways your safety depends on machine learning.
And for access to the entire web series
go to TheDoctorDataShow.com.
♪ Who's your data ♪
♪ Provide me the data to improve ♪
♪ And I'll apply the computation ♪
♪ I love it when you call me big data ♪
♪ Predictive analytics can help you with decisions ♪
♪ You can call, mail, credit, or hire with precision ♪
♪ On law, love, and life, you can prognosticate ♪
♪ Whom to investigate, incarcerate ♪
♪ Set up on a date, or medicate ♪
♪ Charlie Brown never gets his kicks ♪
♪ That's why every old dog needs a brand new trick ♪
♪ If you get sick of chasing sticks ♪
♪ Or clicks with just a quick fix ♪
♪ You need to learn to predict ♪
♪ I can predict your every move ♪
♪ Just gimme all your information ♪
♪ Who's your data ♪
♪ Provide me the data to improve ♪
♪ And I'll apply the computation ♪
♪ I love it when you call me Big Data ♪
Không có nhận xét nào:
Đăng nhận xét