Which of the following best describes the type of language used in the below algorithm?
Which of the following best describes the type and level of the following variable?the total weight of sugar imported by the United States each day for a yearSelectedAnswer:D.Continuous, ratio Show
Answers:A.Continuous,intervalB.categorical,ordinalC.Categorical, binaryD.Continuous, ratioE.categorical,nominalQuestion 210 out of 10 pointsA(n) ______________ is a process or set of rules to be followed in calculations or otherproblem-solving operations, especially by a computer Get answer to your question and much more Question 30 out of 10 pointsIn SAS Enterprise Miner, there are two options for creating a data source (i.e., adding adata set to the SAS data library). What are they? (Pick 2) Get answer to your question and much more Get answer to your question and much more Question 410 out of 10 pointsAccording to the lecture and readings, machine learning techniques can be categorizedinto two general types. What are they? (Pick 2)Answers: Get answer to your question and much more Question 510 out of 10 pointsIn SAS Enterprise Miner, the variable that a model is attempting to predict is referred to as a(n) ___________.Answers:SelectedAnswer:E.Target variableA.Predictor variableB.FeatureC.ObservationD.IndependentvariableE.Target variable Question 610 out of 10 pointsWhich of the following are true? (Pick 3) Get answer to your question and much more Question 70 out of 10 points Which of the following features in SAS Enterprise Miner allows you to export thecontents of your process flow diagram (i.e. your predictive model to a comparableEnterprise Miner ?environment? Get answer to your question and much more Upload your study docs or become a Course Hero member to access this document Upload your study docs or become a Course Hero member to access this document What is an algorithm?An algorithm is a procedure used for solving a problem or performing a computation. Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. Algorithms are widely used throughout all areas of IT. In mathematics and computer science, an algorithm usually refers to a small procedure that solves a recurrent problem. Algorithms are also used as specifications for performing data processing and play a major role in automated systems. An algorithm could be used for sorting sets of numbers or for more complicated tasks, like recommending user content on social media. Algorithms typically start with initial input and instructions that describe a specific computation. When the computation is executed, the process produces an output. How do algorithms work?Algorithms can be expressed as natural languages, programming languages, pseudocode, flowcharts and control tables. Natural language expressions are rare, as they are more ambiguous. Programming languages are normally used for expressing algorithms executed by a computer. Algorithms use an initial input along with a set of instructions. The input is the initial data needed to make decisions and can be represented in the form of numbers or words. The input data gets put through a set of instructions, or computations, which can include arithmetic and decision-making processes. The output is the last step in an algorithm and is normally expressed as more data. For example, a search algorithm takes a search query as input and runs it through a set of instructions for searching through a database for relevant items to the query. Automation software acts as another example of algorithms, as automation follows a set of rules to complete tasks. Many algorithms make up automation software, and they all work to automate a given process. What are different types of algorithms?There are several types of algorithms, all designed to accomplish different tasks. For example, algorithms perform the following:
What are examples of algorithms?Machine learning is a good example of an algorithm, as it uses multiple algorithms to predict outcomes without being explicitly programmed to do so. Machine learning uses supervised learning or unsupervised learning. In supervised learning, data scientists supply complex algorithms with labeled training data and define the variables they want the algorithm to assess for correlations. Both the input and the output of the algorithm are specified.
Unsupervised machine learning involves algorithms that train on unlabeled data. Unsupervised machine learning algorithms sift through unlabeled data to look for patterns that can be used to group data points into subsets. Most types of deep learning, including neural networks, are unsupervised algorithms. Machine learning used in artificial intelligence also relies on algorithms. However, machine learning-based systems may have inherent biases in the data that feeds the machine learning algorithm. This could result in systems that are untrustworthy and potentially harmful. Learn about algorithms, algorithm bias and how to combat algorithm bias. This was last updated in May 2022 Continue Reading About algorithm
What are algorithms used for in programming?An algorithm is simply a set of steps used to complete a specific task. They're the building blocks for programming, and they allow things like computers, smartphones, and websites to function and make decisions.
Which of the following is the best description of a lowA low-level language is a programming language that provides little or no abstraction of programming concepts and is very close to writing actual machine instructions. Two examples of low-level languages are assembly and machine code.
What is an algorithm in coding quizlet?algorithm. A sequence of logical instructions for carrying out a task. In computing, algorithms are needed to design computer programs." pseudocode. A method of writing up a set of instructions for a computer program using plain English.
Which of the following is a key factor in determining the efficiency of an algorithm?The two main measures for the efficiency of an algorithm are time complexity and space complexity, but they cannot be compared directly. So, time and space complexity is considered for algorithmic efficiency.
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