Data Literacy: Making
Sense of Data for Math and Social Studies Teachers February 7 and March 7 (2 - night series) UA Gould Simpson Building, Room 849 5:30 — 7:30 p.m. (Dinner will be served at 5PM)
Not exact matches
Strategically, this makes
sense: When humans stop opting - in,
for fear
of theft or perhaps because they grow weary
of annoying, incoherent targeting,
data will ultimately lose its power.
Advertisers without a roadmap
for this uncharted terrain are quickly becoming lost in forests
of inaccurate
data they can't make
sense of or dark caves
of illusory tech that yield no light at the end
of the tunnel.
As these changes continue to shape the future
of big
data and business intelligence, organizations will be faced with the challenge
of deciding what technologies, and what providers, make the most
sense for their operations.
Last month, IBM posted this essay calling
for «common
sense changes to the balance
of regulatory and liability rules governing the
data economy.»
So far, it's been wireless carriers giving customers discounts on the devices in exchange
for multiyear
data - plan commitments, but with most people using their tablets at home and on the couch as a sort
of second TV or computer screen, it might make more
sense for television or Internet service providers to offer the contracts.
«The hardware creates an issue
for police departments in a
sense that you're creating hours and hours
of raw
data,» said Steve Dyer, senior research analyst
for Craig - Hallum Capital Group.
There are numerous factors behind this decline, but one compelling reason is that traditional brick - and - mortar retailers haven't been that great at gathering
data, and making
sense of it
for marketing purposes.
Simply put, it enables leaders that leverage numerous online tools
for daily tasks to customize perspectives vital to accomplishing specific goals, rather than tediously extracting
data from multiple sources and trying to make
sense of it all.
No matter if it is hardware (which many rumors are pointing to), a replacement UI
for existing devices (which makes
sense from a
data capture point
of view), an enhanced app (after all they are constantly iterating their mobile code base), or a mixture
of all three, the key factor
for Facebook here is to capture as much
data as possible on Facebook users» mobile habits.
«We are moving forward with a continued
sense of urgency on our four strategic priorities: narrowing our focus on clients, products, and geographies where we can grow profitably; driving
for efficiency; growing through innovation and optimizing our
data assets and client relationships; and returning excess capital to shareholders,» he added.
«The European
sense of privacy as a fundamental human right has been codified in law
for a long time,» Michelle De Mooy, the director
for privacy and
data at the Center
for Democracy & Technology.
Had you not had that slowdown in the first part
of the year, had you not had the unsettledness with the value
of the dollar and the price
of oil, I think the Fed was gearing up
for a June rate hike and in a
sense missed that opportunity because the
data turned against them.
Applicants get a
sense of the culture before they arrive: A job posting
for a director
of financial planning and analysis includes a bit about using performance
data to spur growth while wearing jeans and eating tacos.
To make
sense of all
of this
data, a new onboard computer with over 40 times the computing power
of the previous generation runs the new Tesla - developed neural net
for vision, sonar and radar processing software.
Rising rates are not good
for indebted governments, companies and individuals and not good
for equities based on common
sense backed by 55 years
of data analysed objectively.
There are a few key signals I look at when doing a 30 second synopsis
of a SERP, and my favorite tool to get an on the fly
sense of relative competition is the Mozbar extension
for chrome, which gives you some at - a-glance SEO
data at the URL level conveniently right in the SERP interface.
«The other thing that's kind
of worked
for them so far has been the fact that they have a mix
of agility and skill in the
sense that individual countries at five or 10 million are agile enough to do a lot
of these things, create a case,
data, case study and then present it at the EU level.
... «I am always looking
for ways make
sense of large
data structures.
As users discover that their phone calls and SMS messages may have been collected by Facebook
for many years, or that their own
data could have been accessed by Facebook via one
of their friends on the social media platform, there is a growing
sense of shock.
I created the above chart
of IPOs
for 1990 - 2016 using Univerisity
of Florida's Jay R. Ritter's
data, Prof. Ritter uses a tight definition
of IPOs which I believe is more helpful
for getting a
sense of where we are in the current bull cycle by excluding some noise, «follow - on offerings, oil & gas partnerships or unit trusts, ADRs (9 offerings), REITs», etc..
When I realize that the particular conclusions generated by the serious reflection that arises from such assumptions have only the authority
of those assumptions, then I feel free to turn to another philosophy that includes among its
data human persons and their interactions;
for my perception
of reality is such that these seem to me at least as real and ultimate as
sense data and mechanical relations.
In general, taking the objects
for philosophical analysis from the
data of sense perception leaves us in the grip
of substance thinking even when we acknowledge that we can not discover substances in or through our sensory experience.
For example, there are persons to whom it is wholly self - evident that
sense data are the ultimate givens in terms
of which all thought develops and who are equally convinced that the only acceptable explanation
of the way things happen follows mechanical models.
Thus did Origen,
for example, speak
of theologia as the effort
of the individual to «make
sense» out
of Scripture but he immediately asserted the tentative nature
of any such interpretational In Gregory
of Nazianzus the element
of indirectness,
of being one step removed from the original
data, is identified with the word theologia and Pseudo-Dionysius employed it as a synonym
for mysticisms
For example, all
sense faculties with their
sense data were classified as dharmas
of the physical realm and all psychological traits, such as greed, hatred, and delusion, were dharmas
of the mental realm.
They are «dimly conscious» in two
senses: (1) as experiences, they do not normally rise to the stature
of conscious centers competing
for control
of the organism, but they have appetitions and aversions in their own right so that it seems appropriate to label them «dimly conscious»; (2) they are perceived only dimly by the members
of the regnant society, i.e., the regnant society has these particular occasions as dim, vaguely felt, negative «scars» on the
data of what is clearly perceived in full consciousness.
This account
of awareness is empirical because it is based on the immediate experience
of the causal efficacy
of the physical world; it is radically empirical because it claims to
sense, in addition to the
data for the five
senses, the objective embodiments
of values, and it
senses these values «intuitively» — that is, physically by,
for example, a
sense of aversion or a
sense of attraction.
My own disinclination to state a theological method is grounded in the strong conviction that one does not devise a method and then dig into the
data; one lives with the
data, lets their force, variety, and authenticity generate a
sense for what Jean Danielou calls a «way
of knowing» appropriate to the nature
of the
data.10
Consider the famous problem
of private versus public verification
of normative descriptions in
sense -
data theory,
of which Russell was
for a time a leading proponent.
Moreover, unlike his colleagues C. D. Broad and G. E. Moore, Russell did not long hold fast to the extensive and absurd violation
of Occam's razor entailed in maintaining some sort
of mysterious ontological status
for sense data or percepta apart from their originating objects (which are now «constructions»).
Quite apart from the ontological status
of these, how do we make the inferential leap from those actual, but diverse, private experiences to the normative or public veridical judgment, «That is a penny on top
of the desk» (where «penny» now stands exclusively
for the normative description just given, as opposed to the particular ensemble
of sense data we happen to perceive from a particular frame
of reference)?
To elaborate: consider the formal sentence «x is Ø,» where Ø stands
for an ensemble
of sense data associated with the alleged substantial entity, x. Let x = «billiard ball,» and we can associate a definite Øb» a set
of properties in a descriptive sentence corresponding to
sense data in an ensemble actually characterizing a portion
of our perceptual space, consisting
of things like sphericity, hardness, color, elasticity and the like.
For if the
data of experience consisted only
of universals, then the experiencing subject would have to infer the existence
of other individual actual entities, just as Descartes claimed to infer the existence
of a real man in the street from the
sense -
data present to his eyes.
It is unfair to criticize the schoolmen
for their indifference to the inductive process, unwise to defend them on the ground that they had minds too lofty to be content grovelling among the
data of sense....
These
data of sense - awareness are primary facts
for me, «primary» in being facts I would be most reluctant to dismiss and «facts» in being realities access to which provides a basis
for understanding other things.
The status
of entities that can not be
data for human
sense experience has been tenuous at best.
Whitehead's «method
of extensive abstraction» is used not only in his early writings in the philosophy
of natural science but also in his later, more metaphysical, writings to abstract from the complexity
of the relations which comprise the
datum of sense - perception and to isolate by a conceptual analysis those relations which express a uniform metric structure, that is, to «exhibit» a basis
of uniformity in nature.21 It is the
sense in which this uniformity is «required» that is the crucial point
for further investigation.
First, there is the claim that what is given in bare
sense - awareness yields a richer empiricism than the
sense data views
of,
for instance, Russell, Moore and Broad.
In one
sense, then, the past determines the present moment
of experience, in that it is the only
data available
for the present; in another
sense, the present moment
of experience is free to determine how it is to become.
That was when I had the conversation with Richard, who said Whitehead was gunning
for Russell's theory
of sense data.
In the controversies
of the time when Whitehead was writing, this was generally said to be a
sense -
datum, and, as Margaret said earlier, he was gunning
for Russell's view
of sense -
data.
Recall the idea that each
sense organ is like a selective channel
for a particular type
of data.
In the process
of expanding their vast pool
of computer understandable sport - related
data, they have been able to answer the football hotbeds question once and
for all and in the process they have given Premier League managers like Sir Alex Ferguson, Kenny Dalglish and Arsene Wenger the best
sense yet
of which parts
of England their scouts should be scouring.
Although you can also look at football helmet ratings, the NOCSAE cautions «against an over-reliance on any individual
data point, rating or measurement which could lead to inaccurate conclusions or even a false
sense of security that one helmet brand or model guarantees a measurably higher level
of concussion protection than another
for a particular athlete.»
I think the CDC
data set makes the most
sense compared to out
of date studies or studies from other countries (with varying levels
of certification and training
for midwives).
It makes zero financial
sense for any
of those 5.1 million women in the United States who are stay - at - home moms (thanks, Census
data).
Expertise is necessary to make
sense of all the
data: no computer algorithm can substitute
for a deep understanding
of the subject matter, nor can it replace sound causal inference.
But, we also see newer elements, such as the search
for a common
sense of how to manage the free flow
of data, lifeblood
of the new economy.
McCallion's strategy to make
sense of all this
data looks at the active genes in cells affected by a disease, groups
of genes that interact with one another, their vulnerability to mutation and information from past scientific studies to filter more than a thousand gene candidates
for disease risk down to just a handful within any one implicated region.