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Data Science Quotes

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Data Science Quotes

“In the business people with expertise, experience and evidence will make more profitable decisions than people with instinct, intuition and imagination.”

PeopleInspirationalWritingPhilosophyFactsWisdomRealityMotivationalQuotesImaginationDecisionNumbersBusinessKnowledgeTheorySpeechEvidenceExperienceManagementInstinctProfitIntuitionProfessionProofDataDecisionsCorporateAnalysisMovieStoryDecision MakingStatisticsRhetoricCreative WritingSlogansAmit KalantriAmit Kalantri QuotesPublic SpeakingProverbsSocial NetworkingBloggingCharactersProfessionalismAmit Kalantri WriterAdageNovel WritingBook WritingEssayProfessionalScriptAdvertisementBlogMovie DialogueScript WritingCatchphrasesAlliterationsExperimentTag LinesScriptwritingCatch LinesSpeechwritingPunchlineIntuition QuotesData ScienceMbaReportBusiness AdministrationData ScientistIntution
Book:Wealth of Words
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“In the midst of World War II, Quincy Wright, a leader in the quantitative study of war, noted that people view war from contrasting perspectives: “To some it is a plague to be eliminated; to others, a crime which ought to be punished; to still others, it is an anachronism which no longer serves any purpose. On the other hand, there are some who take a more receptive attitude toward war, and regard it as an adventure which may be interesting, an instrument which may be legitimate and appropriate, or a condition of existence for which one must be prepared” Despite the millions of people who died in that most deadly war, and despite widespread avowals for peace, war remains as a mechanism of conflict resolution. Given the prevalence of war, the importance of war, and the enormous costs it entails, one would assume that substantial efforts would have been made to comprehensively study war. However, the systematic study of war is a relatively recent phenomenon. Generally, wars have been studied as historically unique events, which are generally utilized only as analogies or examples of failed or successful policies. There has been resistance to conceptualizing wars as events that can be studied in the aggregate in ways that might reveal patterns in war or its causes. For instance, in the United States there is no governmental department of peace with funding to scientifically study ways to prevent war, unlike the millions of dollars that the government allocates to the scientific study of disease prevention. This reluctance has even been common within the peace community, where it is more common to deplore war than to systematically figure out what to do to prevent it. Consequently, many government officials and citizens have supported decisions to go to war without having done their due diligence in studying war, without fully understanding its causes and consequences. The COW Project has produced a number of interesting observations about wars. For instance, an important early finding concerned the process of starting wars. A country’s goal in going to war is usually to win. Conventional wisdom was that the probability of success could be increased by striking first. However, a study found that the rate of victory for initiators of inter-state wars (or wars between two countries) was declining: “Until 1910 about 80 percent of all interstate wars were won by the states that had initiated them. . . . In the wars from 1911 through 1965, however, only about 40 percent of the war initiators won.” A recent update of this analysis found that “pre-1900, war initiators won 73% of wars. Since 1945 the win rate is 33%.”. In civil war the probability of success for the initiators is even lower. Most rebel groups, which are generally the initiators in these wars, lose. The government wins 57 percent of the civil wars that last less than a year and 78 percent of the civil wars lasting one to five years. So, it would seem that those initiating civil and inter-state wars were not able to consistently anticipate victory. Instead, the decision to go to war frequently appears less than rational. Leaders have brought on great carnage with no guarantee of success, frequently with no clear goals, and often with no real appreciation of the war’s ultimate costs. This conclusion is not new. Studying the outbreak of the first carefully documented war, which occurred some 2,500 years ago in Greece, historian Donald Kagan concluded: “The Peloponnesian War was not caused by impersonal forces, unless anger, fear, undue optimism, stubbornness, jealousy, bad judgment and lack of foresight are impersonal forces. It was caused by men who made bad decisions in difficult circumstances.” Of course, wars may also serve leaders’ individual goals, such as gaining or retaining power. Nonetheless, the very government officials who start a war are sometimes not even sure how or why a war started.”

WarDecisionsStatisticsTrendsData Science
Book:Resort to War: 1816 - 2007
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“Hacking described his research interest ‘in classifications of people, in how they affect the people classified, and how the affects on the people in turn change the classifications.’ Hacking labeled the subjects of these studies ‘moving targets’ because researchers’ investigatory efforts change them in ways so ‘they are not quite the same kind of people as before.”

DataData ScienceData AnalysisQueer Theory
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“The cleaning of data can remove its queerness: paper surveys where respondents score out the response options ‘female’ and ‘male’ and write their own answer, interview recordings were participants flip the focus and ask questions of the researcher, census returns where LGBTQ couples identify themselves as ‘married’ even when governments do not recognize same sex marriage. These examples demonstrate how collection methods can fail to restrict how participants share data about their lives and experiences. … cleaning, which involves the removal of data that breaks established rules”

DataLgbtqData ScienceData AnalysisQueer Theory
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“What Is Data Science and Information Science? According to Dr.P.S.Jagadeesh Kumar (Dr.PSJ Kumar); "The Science Of Learning And Applying Data By Exchanging Methods and Algorithms Between Human And Machine Is Known As Data Science (DS)" "The Science Of Learning, Applying And Protecting Information By Exchanging Methods and Algorithms Between Human And Machine Is Known As Information Science (IS)”

DefinitionsData ScienceInformation Science
Author:P.S. Jagadeesh Kumar
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“You should be able to reconcile past events in a matter of seconds. However, if you do not know what is or has happened, you must take an offensive posture and actively seek out those agents and transactions based on multiple dimensions over time. This is the environment in which you will work and you must build a security model that can actively detect, monitor and pursue that activity.”

DataData ScienceData MiningFbi InvestigationInsider ThreatData SecurityData Analysis QuotesCyber IntelligenceKent Stern
Book:Obtaining Actionable Intelligence for CINDER Threat Detection using DMX Mining Models
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“If we study learning as a data science, we can reverse engineer the human brain and tailor learning techniques to maximize the chances of student success. This is the biggest revolution that could happen in education, turning it into a data-driven science, and not such a medieval set of rumors professors tend to carry on.”

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Author:Sebastian Thrun
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