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- What are the characteristics of k-NN algorithm? (2 correct answers) A. It requires statistical models B. Data-driven, not model-driven C. Applicable under certain assumptions D. Makes no assumptions about the dataThis counts as one of my questions, so I will just ask the question here if you can assist please with the next three. Build a CKY table to parse each sentence below. Also for the 3 invalid sentences below. Go to South Padre Get a hotel On the beach I want a view Love the sunrise A nice vacation Book a boat I love water Need this trip Waves are high Prefer the boat I enjoy speed 3 Invalid Sentences: Like boat to Trip vacation to Hotel want to CFG: S -> NP VP NP -> 'I' | 'Texas' | 'South Padre' | 'hotel' | 'beach' | 'view' | 'sunrise' | 'vacation' | 'boat' | 'water' | 'trip' | 'waves' | 'speed' VP -> 'want' 'to' V | 'like' NP | 'Go' 'to' NP | 'Get' 'a' NP | 'On' 'the' NP | 'Love' 'the' NP | 'Book' 'a' NP | 'Need' 'this' NP | 'Prefer' 'the' NP | 'enjoy' NP V -> 'travel' | 'swim' | 'be' CFG converted into CNF: S → NP VP NP → N1 | N2 | N3 | N4 | N5 | N6 | N7 | N8 | N9 | N10 | N11 | N12 | N13 | N14 VP → V1 VP2 | V2 NP | V3 NP | V4 NP | V5 NP | V6 NP | V7 NP | V8 NP | V9…QUESTION: Propose the knowledge representation (KR) for the Lane Detection Project, and also provide syntax and semantics for the same title which is lane detection. Hint 1: There are mainly four ways of knowledge representation which are given as follows: o Logical Representation o Semantic Network Representation o Frame Representation o Production Rules Hint 2: Syntax Rules for constructing legal sentences in the logic Which symbols we can use (English: letters, punctuation) How we are allowed to combine symbols Semantics How we interpret (read) sentences in the logic Assigns a meaning to each sentence
- What is probabilistic modelling? Select one: a. It is a synonym for 'Data science'. b. Statistics, not machine learning. c. A part of machine learning that overlaps with statistics.Kevin intends to utilize a Boolean operator since his objective is to get knowledge on two different subjects. Kevin must choose the appropriate Boolean operator in order to get the correct search results.?1. Optimizers are a set of procedures defined in SciPy that either find the minimum value of a function, or the root of an equation. Group of answer choices True False 2. A simulation of the underlying value at maturity is sufficient for the Monte Carlo simulation of European style options. Group of answer choices True False 3. A derivative is a financial instrument whose value depends on the value of an underlying variable. Group of answer choices True False 4. Two classes of statistical problems are most commonly addressed within Monte Carlo framework: integration and optimization. Group of answer choices True False 5. Global maxima is the highest point in the whole curve. Group of answer choices True False
- How would you validate a model you created to generate a predictive model of a quantitative outcome variable using multiple regression. How can you prove that one improvement you've brought to an algorithm is really an improvement over not doing anything? Pick an algorithm you like and walk us through the math and then the implementation of it, in pseudo- code. Discuss how you go about feature engineering (look for both intuition and specific evaluation techniques). How can you build a simple logistic regression model in Python?@ need correct Answer else downvoted What is meant by the elimination of unit productions? Eliminate the unit productions from the following CFG. E→E+T/T T→T* F/F F→ (E) /a.Please written by computer source 1) Write truth tables for the statement forms in A.∼p ∧ q B. p ∧ (q ∧ r) 2) Determine whether the statement forms are logically equivalent. In each case, construct a truth table and include a sentence justifying your answer. Your sentence should show that you understand the meaning of logical equivalence. 1. p ∨ (p ∧ q) and p 2. p ∨ t and t 3. (p ∧ q) ∧ r and p ∧ (q ∧ r) 4. (p ∧ q) ∨ r and p ∧ (q ∨ r) 3) Assume x is a particular real number and use De Morgan’s laws to write negations for the statements 1. −2 < x < 7 2. x < 2 or x > 5 3. 1 > x ≥ −3 4) Use truth tables to establish which of the statement forms are tautologies and which are contradictions. 1. (p ∧ q) ∨ (∼p ∨ (p ∧ ∼q)) 2. (p ∧ ∼q) ∧ (∼p ∨ q) 5) In the below, a logical equivalence is derived from Theorem 2.1.1. Supply a reason for each step. (p ∧ ∼q) ∨ (p ∧ q) ≡ p ∧ (∼q ∨ q) by (a) ≡ p ∧ (q ∨ ∼q) by (b) ≡ p ∧ t by (c) ≡ p by (d) Therefore, (p ∧ ∼q) ∨ (p ∧ q) ≡ p. 6) Use…
- Compare data using a histogram that has been normalized. Is it OK to not also provide a histogram that has not been normalized?Kevin wants to discover knowledge on two subjects using a Boolean operator. Kevin must use which Boolean operator to get the appropriate search results?The Decision table testing ----------? Group of answer choices a. Used to model complicated logic b. Used to conduct integration testing c. Used as an error guessing test design technique d. All of the above Please give correct Answer ASAP with small explanation