AI cheat sheet

‘Soft’ Inference: Probability

  1. What Is Probability?

    • A measure PPP assigning each event AAA a number in [0,1][0,1][0,1].

    • Axioms:

      1. P(∅)=0,  P(Ω)=1P(\varnothing)=0,\;P(\Omega)=1P(∅)=0,P(Ω)=1

      2. 4 disjoint A,BA,BA,B, P(A∪B)=P(A)+P(B)P(A\cup B)=P(A)+P(B)P(A∪B)=P(A)+P(B)

    • Conditional: P(A∣B)=P(A∧B)P(B)P(A\mid B)=\frac{P(A\land B)}{P(B)}P(A∣B)=P(B)P(A∧B)​

  2. Bayesian Inference

    • Bayes’ Rule:

      P(H∣E)=P(E∣H) P(H)P(E) P(H\mid E)=\frac{P(E\mid H)\,P(H)}{P(E)}P(H∣E)
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organisational change

Organisational change" in simple terms means a company or group changing the way it works. This could be:

  • Changing how people do their jobs

  • Bringing in new technology

  • Changing the structure of teams or leadership

  • Starting new goals or ways of thinking

The aim is usually to improve the organisation, keep up with the times, or solve problems.t happens when a business wants to improve, grow, solve problems, or respond to something new (like new laws, customer needs, or technology).New ways

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matematica

Ao ler e refletir sobre as Aprendizagens Essenciais de Matemática de 2021, senti que este documento vai muito além de um simples programa curricular. Ele representa uma mudança na forma como vemos o ensino da matemática — e, mais do que isso, na forma como vemos os próprios alunos. Para mim, como futura professora, fez muito sentido a ideia de que ensinar matemática não é só transmitir técnicas e procedimentos, mas sim ajudar os alunos a pensar, a questionar e a ver o mundo com outros

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Final Mayo frances A1

Pour les vacances de Pâques, je suis allé à New York avec ma copine. Ses parents vivent à Connecticut, à 30 minutes de New York, et ils nous ont invités. Certains jours, nous sommes sortis : nous avons mangé dehors, vu un match de basket (Nets vs Knicks) et marché à Manhattan. D'autres jours, nous sommes restés à la maison : nous avons cuisiné et fait du shopping. C’était super !

Pour les prochaines vacances d’été, je vais retourner au Guatemala avec ma sœur pour visiter ma famille.

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Thermo

Exam-Day Cheat Sheet: “Include the Problem” + Step-by-Step Recipe


🔹 Problem 1: Property Changes & T–s Sketch

(HW 9 Q1–Q3)
1a. Ideal-gas entropy change

Statement: Air (ideal gas) in a piston–cylinder goes from State 1: T₁ = 350 K, p₁ = 100 kPa
to State 2: T₂ = 550 K, p₂ = 700 kPa. Find Δs (kJ/kg·K) (a) reversible, (b) with irreversibilities.

1b. Isothermal water compression

Statement: 1 kg water in piston–cylinder, initially saturated vapor at T = 160 °C, p = 150 kPa,

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asdfghjk

You use ED when you are talking about People/ Subject. You use ING when you are talking about a Situation/Object E: I'm Bored (ED) This situation is boring. (ING) They are boring me to death. (Is a situation because is afeet another person) Models of Speculation –  Presente (Must = certeza She must be tired.) (May / Might / Could = possibilidade He might be at home.) (Can’t / Cannot = certeza negativaThat can’t be true.) ( Passado (Modal + have + past participle) (Must have =

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weeeeeee

🔧 Kotlin & Android Coding Terms You Must Know

  • ?.let {}: Kotlin null-safe scope function. Prevents crashes if object is null; not a security check.

  • getCallingPackage(): Identifies the app that sent an intent. Use this to verify intent source.

  • checkCallingOrSelfPermission(): Checks if permission is declared. Does not verify actual identity of sender.

  • resolveActivity(intent, 0): Checks if the intent can be handled. Prevents app crash, but not a security check.

  • putExtra() / getStringExtra(

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Interpretation of statutes

1Reference to Constituent Assembly Debates in Adjudication: Theoretical Approaches, Scholarly Themes, and Judicial Practice

Introduction

The Constituent Assembly Debates (CAD) of India, spanning from 1946 to 1950, represent a foundational moment in the creation of the Indian Constitution. These debates, involving figures like B.R. Ambedkar and Jawaharlal Nehru, have become a crucial interpretive resource for courts, scholars, and legislators seeking to understand the intent and philosophy underlying

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final med 3

Anemia:A)microcytic hypo:1)Iron def:cause:A)physio:1)nutrition def-2)menstrual iron loss-3)pregnant give fetus-4)blood donate premenopausal-5)gastrointestinal bleed/B)patho:1)excessive blood loss peptic,carcinoma-2)excess uterine bleed//clinic:1)fatigue-2)pale oral,lip,eye-3)Koilonychia-4)sparse hair//oral manif:1)glossitis-2)stomatitis-3)angular chelitis-4)oral candida-5)aphthous//TTT:ferrous sulphate-eliminate def cause/2)thalassemia: cooleys anemia-Kyphosis-dark urine-jaundice//oral manif:1)spiky

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