Download - Summarizing Siegel's Predictive Analytics
Dr. Kang Mun Arturo Tan, Jr.Department of Management SciencesYanbu University CollegeApril 6, 201412:20 – 1:10 PMJ2- Main Auditorium
Discussing
“Predictive Analytics by Eric Siegel”
With
great
power comes g
reat
resp
onsibilit
y.
Spider2
What is Predictive Analytics?
Input Parameters
Observations
Prediction About ASpecific Item (You)
A good prediction brings about economic value. It avoids making substantial errors.
Input Parameters
Observations
Prediction
MoneyMenMaterialsTime
Action
Chapter 2
PositiveEffect onYou
NegativeEffect onYou
With great power comes great responsibility.
How Target knows when its shoppers are pregnant - and figured out a teen was before her father didRead more: http://www.dailymail.co.uk/news/article-2102859/How-Target-knows-shoppers-pregnant--figured-teen-father-did.html#ixzz2y5hGwILB
'If we send someone a catalogue and say, ‘Congratulations on your first child!’ and they’ve never told us they’re pregnant, that’s going to make some people uncomfortable,' Andrew Pole, a statistician with Target told the New York Times' Charles Duhigg.
http://en.wikipedia.org/wiki/Mind_uploading
Whole brain emulation (WBE) or mind uploading (sometimes called "mind copying" or "mind transfer") is the hypothetical process of copying mental content (including long-term memory and "self") from a particular brain substrate and copying it to another computational device, such as a digital, analog, quantum-based or software based artificial neural network.
MIND UPLOADING
Mind uploading may potentially be accomplished by either of two methods: Copy-and-Transfer or Gradual Replacement of neurons. In the case of the former method, mind uploading would be achieved by a scanning and mapping the salient features of a biological brain, and then by copying, transferring, and storing that information state into a computer system or another computational device.[4][5][6][7][8
Process from MRI acquisition to whole brain structural network [30]
Magnetoencephalography
Algorithms
DataAbout Others
Chapter 4
TrainingDataSet
TestDataSet
70%
30%
Traditionally called Machine Learning.
Input Parameters
Observations
Prediction About ASpecific Item
Chapter 5
ENSEMBLE – MULTIPLE MODELS CANCEL EACH OTHER’S ERRORS.
Marks ForEach Choice
Chapter 6
TEXTUAL QUESTIONS
Jeopardy Video
Jeopardy Explanation
I ATE SPAGHETTI WITH MEATBALLS.
I ATE SPAGHETTI WITH A FORK.
I ATE SPAGHETTI WITH MY FRIEND BILL.
DID YOU TASTE THE MEATBALLS?DID YOU TASTE A FORK?DID YOU TASTE YOUR FRIEND BILL.
JEOPARDY, NOT A DIRECT SUBSTITUTION.
Prediction
Chapter 7
Input
Input
Persuadable
Sure Things
Lost Causes
Do not disturb
MoneyMenMaterialsTime
Action
Uplift Model
Return on investmentBecause uplift modelling focuses on incremental responses only, it provides very strong return on investment cases when applied to traditional demand generation and retention activities. For example, by only targeting the persuadable customers in an outbound marketing campaign, the contact costs and hence the return per unit spend can be dramatically improved.