October 13, 2011. Given the set a a b b a a c c b b of unknown length, write an algorithm that figures out which occurs most frequently and with the most continuous repetition. 2 Answers. ↳. doesn't matter, no answer is right! ↳. Maintains Hashmap to store the overall frequency and longest continuous...
The Master Question Papers and Answer Keys of various test papers are given below. The keys are open to challenges by candidates during February 22-25, 2024. The Answer Key is matched to the order of questions in the Master Question Paper. The order in which the questions and options have appeared on the candidate console in the examination …
This set of Machine Learning Multiple Choice Questions & Answers (MCQs) focuses on "Decision Trees – Gain Measure Implementation". 1. Which of the following statements is not true about the Decision tree? a) A Decision tree is also known as a classification tree. b) Each element of the domain of the classification in decision tree is ...
Explore the latest questions and answers in Image Mining, and find Image Mining experts. Questions (11) Publications (3,889) ... You can explore UCI machine learning repository for the same.
The correct answer is c - anthracite.Anthracite is the hardest type of coal; it has the highest heating value and lowest moisture and ash content. Question 3: Energy fuels, such as coal, crude oil and natural gas, formed from the fossil remains of organic materials, are called: The correct answer is d - fossil fuels.
👉 Free PDF Download: Machine Learning Interview Questions & Answers >> 2) Mention the difference between Data Mining and Machine learning? Machine learning relates with the study, design and development of the algorithms that give computers the capability to learn without being explicitly programmed.
8. Creating a new mine ventilation method to increase air quality and worker safety. 9. The use of automation in mining equipment to boost production and safety is being investigated. 10 ...
a) 100-1000 rpm. b) 5000 rpm. c) 1500 rpm. d) 3000 rpm. View Answer. Sanfoundry Global Education & Learning Series – Design of Electrical Machines. To practice all areas of Design of Electrical Machines, here is complete set …
The question and their answers were combined to create question-answer pairs, which are used as input to the CNN model to capture the semantic features and then fed into the RNN model to rank them. Zhao et al. [ 142 ] suggested a model called heterogeneous asymmetric multi-faceted network learning which was based on the …
The machine accept the string by entering into hA or it can: a) explicitly reject x by entering into hR. b) enter into an infinte loop. c) explicitly reject x by entering into hR and enter into an infinte loop. d) None of the mentioned. View Answer. 5. …
K-Means clustering is an unsupervised iterative clustering technique. It partitions the given data set into k predefined distinct clusters. A cluster is defined as a collection of data points exhibiting certain similarities. It partitions the data set such that-. Each data point belongs to a cluster with the nearest mean.
The GATE 2021 committee has officially ratified the reassessed answer keys. The results of GATE 2021 will be announced by 22 nd March 2021, using these final answer keys. Candidates may use their response sheets and these FINAL answer keys to calculate their raw marks of GATE 2021 as per the marking scheme shown in the question paper.
Our 1000+ Electrical Machines MCQs (Multiple Choice Questions and Answers) focuses on all chapters of Electrical Machines covering 100+ topics. You should practice these MCQs for 1 hour daily for 2-3 months. This way of systematic learning will prepare you easily for Electrical Machines exams, contests, online tests, quizzes, MCQ-tests, viva ...
advertisement. 4. What is the necessary condition for turning? a) material of work piece should be harder than the cutting tool. b) cutting tool should be harder than the material of work piece. c) hardness of the cutting tool and material of of piece should be same. d) none of the mentioned. View Answer. 5.
In Machine Learning, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naïve) independence assumptions between the features. Follow along and refresh your knowledge about Bayesian Statistics, Central Limit Theorem, and Naive Bayes Classifier to stay prepared for your next Machine …
A. it uses machine-learning techniques. here program can learn from past experience and adapt themselves to new situations. B. computational procedure that takes some value as input and produces some value as output. C. science of making machines performs tasks that would require intelligence when performed by humans.
Q6. Explain the difference between the CART and ID3 Algorithms. The CART algorithm produces only binary Trees: non-leaf nodes always have two children (i.e., questions only have yes/no answers). On the contrary, other Tree algorithms, such as ID3, can produce Decision Trees with nodes having more than two children. Q7.
This set of Machine Learning Multiple Choice Questions & Answers (MCQs) focuses on "Support Vector Machines". 1. A Support Vector Machine (SVM) is a discriminative classifier defined by a separating hyperplane. a) True. b) False. View Answer. 2. Support vector machines cannot be used for regression. a) False.
Miscellaneous in Mining. Mining Engineering MCQ Questions and Answers Chapter wise for Mining Engineering Students Preparing for the Mining related Exam. This Includes Chapters Mine Surveying, Drilling and Blasting, Mining Geology, Coal Mining, Metal Mining, Mine Ventilation and More. Specifically Designed for Those in the Field of …
The first personal ability that one needs is physical strength. One has to lift, carry and move heavy objects which is why physical dexterity is important. Communication skills and the ability to get along with others is also important as one has to work in a team environment. 10. If you come across two simultaneous machine problems, which one ...
Q8. Describe the Support Vector Machine (SVM) technique in data mining. A8. Support Vector Machine (SVM) is a supervised machine learning algorithm primarily used for classification and regression tasks. The main objective of SVM is to find the optimal hyperplane that separates the classes with the maximum margin.
The drilling machine is the second most important machine tool in a workshop. 9. The drilling machine was primarily designed to originate a _____. 10. For drilling operation, the drill rotates with_____ pressure if job is held on earth. Sanfoundry Global Education & Learning Series – Machine Tools and Machining.
Natural Language Processing MCQs and Answers with Explanation – Natural Language Processing (NLP) is a subfield of computer science that focuses on the interaction between computers and human languages.NLP technologies enable computers to understand, interpret, and generate human language, allowing them to communicate …
Principal Component Analysis (PCA) is a useful technique when dealing with large datasets. In some fields, (bioinformatics, internet marketing, etc) we end up collecting data that has many thousands or tens of thousands of dimensions. PCA is an unsupervised, non-parametric statistical technique primarily used for dimensionality reduction in Machine …
View Answer. 13. (I) Even at no load a large 3-phase squirrel- cage induction motor is started at reduced voltage than rated. (II) If a large 3–phase squirrel-cage induction motor with no load is started at full voltage, it will be damaged. a) I is true, II is false. b) I is true and II is also true.
5 interview questions with example answers Reviewing example interview questions can help you prepare professional answers to similar questions. Professional answers completely answer the questions and highlight your relevant achievements and qualities. Here are some examples of interview questions and answers for miners: 1.
View and download previous years (past) question papers for SWAYAM Exam for years 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011. ACET (Actuarial Common Entrance Test) Data Interpretation (DI) Coaching Programs
K-means Clustering is one of the most popular clustering algorithms and usually, the first thing practitioners apply when solving clustering tasks to get an idea of the structure of the dataset. Follow along and learn the 20 most common K-mean Interview Questions and Answers for your next Data Analyst and Machine Learning Engineer Interview.
No. Data mining is more than a simple transformation of technology developed from databases, statistics, and machine learning. Instead, data mining involves an integration, rather than a simple transformation, of techniques from multiple disciplines such as database technology, statistics, machine learning, high- performance computing, …
b. DBSCAN. c. Agglomerative. d. Mean-Shift. Answer: d. Mean-Shift. AIMCQs. Learn about the different types of clustering algorithms, including K-means and Hierarchical Clustering, and their applications in data analysis. Discover how clustering can help you identify patterns and group similar data points without prior knowledge of class labels.
This set of Artificial Intelligence Multiple Choice Questions & Answers (MCQs) focuses on "Machine Learning". 1. What is Machine learning? a) The autonomous acquisition of knowledge through the use of computer programs. b) The autonomous acquisition of knowledge through the use of manual programs. c) The selective acquisition of …
