Semi supervised learning - Study guides, Class notes & Summaries
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Comprehensive HESI 1 -RN Case studies
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Comprehensive HESI 1 -RN Case studies 
 
1.	A client with asthma receives a prescription for high blood pressure during a clinic visit. Which prescription should the nurse anticipate the client to receive that is least likely to exacerbate asthma? 
A.	- Metoprolol tartrate (Lopressor). 
B.	Carteolol (Ocupress). С. Pindolol (Wisken). 
D. Propranolol hydrochloride (Inderal). 
The best antihypertensive agent for clients with asthma is metoprolol (Lopressor) (C), a beta2 blocking agent which is al...
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machine learning
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Year	Major	SubjectCode	Unit	Chapter	Section	QuestionType	BTLevel	COs	DifficultyLevel	Question	Mark 
2021	BIT	19ITEN2007	1	1	A	Descriptive	Remember	CO1	Easy	Define Machine Learning and List the real-life applications of ML algorithms	2 
2021	BIT	19ITEN2007	1	1	A	Descriptive	Understanding	CO1	Moderate	Mention two methods by which we can replace NaN values from the Dataframe in Pandas.	2 
2021	BIT	19ITEN2007	1	1	A	Descriptive	Understanding	CO1	Easy	Differentiate between supervised and unsupervised ...
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HESI RN Pediatrics Exam 2022-2023 V1, V2,V3 – (100 % Verified Q & A)(135 Answered Questions).
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HESI RN Pediatrics Exam 2022-2023 V1, V2,V3 – (100 % Verified Q & A)(135 Answered Questions). 
 
 
 
 
 
 
 
 
 
 
HESI RN Pediatrics Exam V1, V2, V3 
 
 
 100 % Verified Q & A 
 
 
2022-2023 
 
 
135 Answered Questions 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
HESI RN Pediatrics V1,V2,V3 - 135 Answered Questions 
 
 
1.The nurse is planning care for a 5 - month-old with gastroesophageal reflux disease whose weight has decreased by 3 ounces since the last clinic visit one month ago. To increas...
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HESI RN Pediatrics Exam 2022-2023 V1, V2,V3 – (100 % Verified Q & A)
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HESI RN Pediatrics Exam 2022-2023 V1, V2,V3 – (100 % Verified Q & A)(135 Answered Questions).
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And that's how you make extra money
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Stanford University STATS 231 hw1-solutions.
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Homework 1 solutions 
CS229T/STATS231 (Fall) 
 
 
1. Value of labeled data (11 points) 
In many applications, labeled data is expensive and therefore limited, while unlabeled data is cheap and 
therefore abundant. For example, there are tons of images on the web, but getting labeled images is much 
harder. What is the statistical value of having labeled data versus unlabeled data? This problem will explore 
this formally using asymptotics. 
Specifically, suppose we have an exponential family mod...
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Exam (elaborations) Abstract21083
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Knowledge Base Question Answering for Space Debris QueriesSpace agencies execute complex satellite operations that need to be supported by the technical knowledge contained in their extensive 
information systems. Knowledge bases (KB) 
are an effective way of storing and accessing such information at scale. In this work 
we present a system, developed for the European Space Agency (ESA), that can answer 
complex natural language queries, to support 
engineers in accessing the information contain...
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Foundations of Machine Learning: Algorithms, Techniques, and Applications assignment 1
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This set of codes and calculations pertains to an analysis of hospital stay durations. The data was initially saved in a CSV file and then imported into the R programming environment. The dataset reveals the number of days each patient spent in the hospital. A histogram was generated to visualize the distribution, showing that most patients had relatively short stays. Summary statistics were computed, including measures like mean, median, standard deviation, quartiles, minimum, and maximum value...
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Fundamentals 2020 RN Virtual ATI - Safety and Infection Control Quiz (answered & Elaborated)
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Fundamentals 2020 RN Virtual ATI - Safety and Infection Control Quiz 
 
A client has a new tracheostomy. Which of the following interventions should the nurse include when performing tracheostomy care? 
 
a. Clean disposable inner cannula with hydrogen peroxide. 
b. Change tracheostomy ties when soiled. 
c. Remove soiled dressing with sterile gloves. 
d. Suction the tracheostomy before beginning care. 
 
A client has fallen in the bathroom. Which of the following is the priority nursing action?...
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ITEC 4230 Data Analyst Assignment 1a - York University
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ITEC 4230 Data Analyst Exam - York University Q (1) What is data mining? In your answer, address the following: (a) Is it another hype? Data mining is the process of discovering interesting patterns from massive amounts of data. As a knowledge discovery process, it typically involves data cleaning, data integration, data selection, data transformation, pattern discovery, pattern evaluation, and knowledge presentation. Data mining is not a hype. Loads of data which was up until now not used and u...
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