Data That Describe Quotes & Sayings

The mightiest flame of fire lies in positive mindset. — Lailah Gifty Akita

I am the abandoned child, now become a man. So everything has turned out pretty well. . . A little too much importance is accorded to things I say. — Emmanuel Bove

Just because we have a thought, doesn't mean it is a thought worth having. — Bill Crawford

I hate to be where she is not, when she is not. And yet, I am always going. - Henry deTamble — Audrey Niffenegger

When I look into the eyes of an animal, I do not see an animal. I see a living being. I see a friend. I feel a soul. — Anthony Douglas Williams

This is how you communicate with a fellow intelligence: You hurt it, you keep on hurting it, until you can distinguish the speech from the screams. — Peter Watts

You couldn't catch a yawn from someone you didn't like. — Martin Amis

I wasn't meant to live long. It simply wasn't written in my stars. — Marie Lu

If the victories we create in our heads were let loose on reality, the world we know would drown in blazing happiness. — Patton Oswalt

While Einstein was still a patent clerk he had studied the work of the Austrian physicist Ernst Mach, for whom the goal of science was not to discern the nature of reality, but to describe experimental data, the 'facts', as economically as possible. — Manjit Kumar

Data allow your political judgments to be based on fact, to the extent that numbers describe realities. — Hans Rosling

Storytellers need their stories to resonate with their listeners. So when you envision a goal and describe the action needed to reach that goal, you transform your vision into a portrayal that depicts what's truly possible to move people to action. While you need enough material (data and reasoned analysis) to flesh out the tale, you don't want to bombard people with charts and tables. — Steven Haines

Sam looked at me soft. And she hugged me. And I closed my eyes because I wanted to know nothing but her arms. And she kissed my cheek and whispered so nobody could hear.
I love you. — Stephen Chbosky

Many of the models in the literature are not general equilibrium models in my sense. Of those that are, most are intermediate in scope: broader than examples, but much narrower than the full general equilibrium model. They are narrower, not for carefully spelled out economic reasons, but for reasons of convenience. I don't know what to do with models like that, especially when the designer says he imposed restrictions to simplify the model or to make it more likely that conventional data will lead us to reject it. The full general equilibrium model is about as simple as a model can be: we need only a few equations to describe it, and each is easy to understand. The restrictions usually strike me as extreme. When we reject a restricted version of the general equilibrium model, we are not rejecting the general equilibrium model itself. So why bother "testing" the restricted version? If we reject it, we will just create another version. — Fischer Black

Thinking about information is different from ordinary work. The challenge is to find good ways, using data, to describe what's happening in the real world. It's aligning the description of the company with the activities of the company. My job as boss is to monitor both of these and to continually modify the description to fit the reality. My employees can't do it - they each work on their piece of the process. I'm the only one who sees everything. I decide what to keep track of, and how to do it. I — Paul Downs

open coding; development of concepts; grouping concepts into categories; formation of a theory. In the open coding stage, we analyze the text and identify any interesting phenomena in the data. Normally each unique phenomenon is given a distinctive name or code. The procedure and methods for identifying coding items are discussed in section 11.5.2. In the second stage, collections of codes that describe similar contents are grouped together to form higher level "concepts." In the third stage, broader groups of similar concepts are identified to form "categories" and there is a detailed interpretation of each category. In this process, we are constantly searching for and refining the conceptual construct that may explain the relationship between the concepts and categories (Glaser, 1978). In the last stage, theory formulation, we aim at creating inferential and predictive statements about the phenomena recorded in the data. — Jonathan Lazar

The moment you become aware of the silence, you also have become silent. — Eckhart Tolle

If there is to be a resolution to the mystery of how mind relates to matter, it will emerge from explaining the data of the human brain in terms of these laws-laws capable of giving rise to a very different view of the causal efficacy of human consciousness. Quantum mechanics makes it feasible to describe a mind capable of exerting effects that neurons alone cannot. — Jeffrey M. Schwartz

The term architecture is used here to describe the attributes of a system as seen by the programmer, i.e., the conceptual structure and functional behavior, as distinct from the organization of the data flow and controls, the logical design, and the physical implementation. i. Additional details concerning the architecture — Fred Brooks

The Numerati too, are grappling with towering complexity. They're looking for patterns in data that describe something almost hopelessly complex: human life and behavior. The audacity of their mission is almost maddening. They're going to figure out who we're likely to vote for, who we want to work with, perhaps even who we're best suited to love, all from the statistical patterns of data? It's the height of presumption, and it leads to humbling disappointments. Like the trees growing in the forests of Minnesota, we confound those who try to categorize us, and we do it most of the time without even trying. Life is complex. — Stephen Baker