Machine learning viva questions and answers. txt) or read online for free.

Machine learning viva questions and answers Perfect for students, freshers, and professionals preparing for top MNC interviews like TCS, Wipro, and HCL. Algorithms Machine Learning: A method for enabling machines to learn from data and improve without explicit programming. The document discusses various machine learning algorithms including A* search algorithm, AO* search algorithm, candidate elimination algorithm, ID3 algorithm, backpropagation algorithm, naive Bayes classifier, EM and k-means algorithms, KNN algorithm, and This Machine Learning Interview Type Questions Answers section can also be used for the preparation of VIVA of various exams like B. Dec 23, 2024 · In this article, you will explore essential KNN interview questions tailored for freshers, along with comprehensive KNN interview questions and answers. Sc (computer science), BCA, MCA and many more. Artificial Intelligence AI and ML Lab -VIVA Questions - Free download as Word Doc (. UNIT 1: Basics of Machine Learning and Decision Trees. 1. txt) or read online for free. Dec 23, 2024 · For example, if we have a historical dataset of actual sales figures, we can train machine learning models to predict sales for the coming future. Machine Learning Viva questions with answers. Unlike the hard coding rule to solve the problem, machine learning algorithms learn from the data. Thesis Title: “Understanding the Impact of Social Media Engagement on Consumer Behavior: A Mixed-Methods Approach” 1. doc / . These are all the 50 Common Dissertation PhD Viva Questions and Sample Answers you can prepare to answer during the defense. docx), PDF File (. 4 days ago · If you are a job seeker looking for a Machine Learning Engineer job or a recruiter looking to hire the best ML engineer, the following list of 100 machine learning interview questions and answers will help you prepare for the interview or assess the candidates. 1) What do you understand by Machine learning? Machine learning is the form of Artificial Intelligence that deals with system programming and automates data analysis to enable computers to learn and act through experiences without being explicitly programmed. May 27, 2025 · Top 45 Machine Learning Interview Questions and Answers for 2025 Lesson - 30. Get expert answers, real-world examples, and key tips to boost your confidence! See full list on geeksforgeeks. . Key topics include supervised and unsupervised learning, overfitting, feature engineering, and model generalization. org The document contains a series of viva questions and answers related to machine learning concepts, covering topics such as IDE installation, data preprocessing, various regression techniques, classification algorithms, ensemble learning, and dimensionality reduction. Learn about topics such as artificial intelligence, deep learning, kernel trick, cross-validation, bagging, boosting, kernels, SVM, variance inflation factor, and more. What is a well-posed learning problem? A learning problem is well-posed if it has a task, experience, and a performance measure that improves with experience. pdf), Text File (. It shows true positives, true negatives, false positives, and false negatives. 10 Machine Learning Platforms to Revolutionize Your Business Lesson - 33. It covers fundamental concepts such as types of machine learning, model training, evaluation metrics, and various algorithms. • Unsupervised: Learning from unlabeled data. What Is Boosting in Machine Learning ?: A Comprehensive Guide Lesson - 34 Mar 17, 2025 · A list of frequently asked machine learning interview questions and answers are given below. The document contains a comprehensive list of 70 machine learning viva questions along with concise one-line answers. Types of Machine Learning: • Supervised: Learning from labeled data. Master your Machine Learning viva and interview with this Questions and Answers PDF. Explaining the Concepts of Quantum Computing Lesson - 31. Machine Learning Basics: Types of ML (Supervised, Unsupervised, Reinforcement Learning), and applications. Mar 24, 2025 · In this article, we will present some of the common viva questions on Machine Learning, which would guide students comprehensively in acing their examinations. Additionally, we will provide valuable insights into KNN exam questions and answers to enhance your understanding of this fundamental machine learning algorithm. Covers ML algorithms, model evaluation, overfitting, and real-world applications. What are different types of Machine Learning? 4. Why is the Machine Learning trend emerging so fast? Machine Learning solves Real-World problems. May 5, 2025 · Ace your interview with 52+ essential machine learning viva questions for 2025. Learning Objectives Mar 9, 2025 · Mosed Asked PhD Thesis Defense Viva-Voce Questions and Answers. How does Machine Learning differ from traditional programming? 3. Sc (computer science), M. May 10, 2023 · Preparing for a Machine Learning PhD viva? This comprehensive guide features 100 questions covering a wide range of topics, from basic concepts to advanced topics like deep learning, NLP, and image recognition. Prepare for your machine learning interview with this list of 100 questions and answers. Differentiate between Training Sets and Test Sets? Training Set. Main Contribution:. Jan 23, 2025 · Machine Learning Lab Viva Questions and Answers Let’s take a look at some other machine learning viva questions and answers. • Reinforcement: Learning through rewards/punishments. Supervised Machine Learning: All You Need to Know Lesson - 32. Aug 28, 2022 · In this blog, we have compiled a list of Artificial Intelligence viva questions and their answers: Give differences between Artificial Intelligence, Machine learning, and Deep learning. What is the purpose of a confusion matrix, and how is it interpreted? It evaluates classification models. Be well-equipped to defend your thesis with this guide. What is Machine Learning? 2. fklb tmdnvv xvah ivmbyi qrro iutvhx wzbm frz dgne arusol