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

Machine learning viva questions and answers This will help you to prepare for exams, contests, online tests, quizzes, viva-voce, interviews, and certifications. Supervised Machine Learning: Supervised machine learning is the machine learning technique in which the neural network learns to make predictions or classify data based on the labeled datasets. Viva Questions are designed to test the knowledge and understanding of candidates in a particular field. Here we the K-means algorithm differs in the method used for calculating the Euclidean distance while calculating the distance between each of two data items; and EM uses statistical methods. It is a way of achieving AI. Artificial Intelligence is a branch of computer science where we are making machines to do the task where the humans will do at the best moments. Question 1: Can you describe a machine learning project you Linear Regression is a fundamental statistical and machine learning method used to understand the relationship between two variables. Covering fundamental to advanced topics, this guide will help you confidently tackle any ML interview or viva. Oct 16, 2024 · A comprehensive list of top 100 Machine Learning Interview Questions. See full list on geeksforgeeks. It covers fundamental concepts such as types of machine learning, model training, evaluation metrics, and various algorithms. Some of these include: Ensemble Methods: Techniques like Random Forests or Boosting build multiple trees and aggregate their predictions, providing improved robustness, generalization, and accuracy. pdf), Text File (. Explaining the Concepts of Quantum Computing Lesson - 31. Get ready now! Don’t miss Blockchain Community Day, June 9–13: 5 days, 30+ sessions, free to join. it uses a variety of ways to process these. Define supervised, unsupervised and reinforcement learning? Supervised learning requires a labeled dataset for training. 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. Follow along to check 17 of the May 24, 2023 · This is where Viva Questions play a crucial role. Traditional machine learning models require manual feature extraction. May 29, 2025 · Machine Learning is causing a revolution in industries by making systems learn from data to make intelligent decisions. 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. A3: Classification: Classification is a type of supervised learning where the goal is to General VIVA Questions 1. What is machine learning? The capability of a machine to imitate intelligent human behavior. Click here to read more. Apr 20, 2022 · Answer: Such machine learning interview questions tests your grasp of the nuances of machine learning model performance! Machine learning interview questions often look towards the details. 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. Algorithms Machine Learning: A method for enabling machines to learn from data and improve without explicit programming. Forward Propagation is the way to move from the Input layer (left) to the Output layer (right) in the neural network Machine Learning Viva Questions and Answers Module 1: Python Fundamentals and Data Structures 1. It is considered to be a straightforward algorithm and uses a linear representation of the data to model the relationship between the input variables and the output value. Each week focuses on different machine learning techniques, providing foundational knowledge and practical applications. Thesis Title: “Understanding the Impact of Social Media Engagement on Consumer Behavior: A Mixed-Methods Approach” 1. org The document contains a comprehensive list of 70 machine learning viva questions along with concise one-line answers. Ideal for academic and job prep. Machine learning powers Artificial Intelligence by enabling systems to learn from data, making it essential for students aiming to build smart applications and models. This comprehensive list of 100 machine learning interview questions and answers will serve as your valuable resource to grasp the fundamentals and complexities of this field. Frequently encountered during tech interviews in the field of data science, machine learning, and AI, Linear Regression Mar 17, 2025 · Machine learning is a subset or subfield of Artificial intelligence. 10 Machine Learning Platforms to Revolutionize Your Business Lesson - 33. Unsupervised learning identifies hidden data patterns from an unlabeled dataset, while Reinforcement May 29, 2025 · 1. A Machine Learning interview is a challenging process where candidates are tested on their technical skills, programming abilities Basic Machine Learning Interview Questions and Answers 1. 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. AI. Perfect for students, freshers, and professionals preparing for top MNC interviews like TCS, Wipro, and HCL. The document provides a comprehensive overview of machine learning, covering key concepts, applications, and methodologies. If you are preparing for machine learning interview, this intervie Oct 19, 2024 · Prepare for your next data science interview with confidence using our comprehensive list of Top 100+ Data Science Interview Questions and Answers (2024). Learning Objectives PDF notes of Machine Learning with 50+ questions and answers, covering algorithms, models, techniques, and practical applications. It discusses supervised vs unsupervised learning, model evaluation metrics, and foundational mathematics for ML. Jan 21, 2025 · These are some important AI ML DL interview questions and their answers. 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 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. com/blog/interview-ques May 2, 2025 · Start a journey through the intricacies of machine learning (ML) interview questions and answers, we delve into the fundamental concepts that underpin this dynamic field. May 5, 2025 · Basic Machine Learning Viva Questions and Answers for Beginners and Students. May 27, 2025 · Top 45 Machine Learning Interview Questions and Answers for 2025 Lesson - 30. Covers ML algorithms, model evaluation, overfitting, and real-world applications. Business industries are changing with it. This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen. Machine Learning is one of the booming careers in the present-day scenario. What are the various types of machine learning algorithms used in NLP? There are various types of machine learning algorithms that are often employed in natural language processing (NLP) tasks. Machine learning is a branch of AI that enables systems Aug 15, 2024 · Common Viva Questions on Machine Learning. doc / . Define Machine Learning? Machine learning (ML) is a branch of AI that uses data to find patterns, make predictions or decisions without explicit program and advanced algorithms to enable machines to learn and response like a human. It Our 1000+ MCQs focus on all topics of the Machine Learning subject, covering 100+ topics. 2. Machine Learning Viva Questions and Answers Module 1: Introduction to Machine Learning 1. Mar 24, 2025 · Machine Learning has now emerged as a major domain of Artificial Intelligence. e, Feature Learning and Classification. Why is the Machine Learning trend emerging so fast? Machine Learning solves Real-World problems. What Is Boosting in Machine Learning ?: A Comprehensive Guide Lesson - 34 Prepare for your machine learning interview with this list of 100 questions and answers. Upon completing each course or Specialisation, you’ll also have a certificate to add Dec 30, 2024 · Machine Learning is one of the booming careers in the present-day scenario. Explore the Top Machine Learning Interview Questions and Answers to boost your preparation! 🚀 Check it out here: https://intellipaat. Jul 5, 2022 · Your ability to apply machine learning effectively; Your ability to analyze data with a range of methods; Your communication skills, cultural fit, etc. Machine Learning Basics: Types of ML (Supervised, Unsupervised, Reinforcement Learning), and applications. Report this article UNP Education UNP Education 50+ Top Laravel Interview Questions and Answers Latest 2024 Nov 26, 2024 This Machine Learning Interview Type Questions Answers section can also be used for the preparation of VIVA of various exams like B. Therefore, every aspiring Data Scientist and Machine Learning Engineer must know these questions and answers on Decision Trees. Dec 21, 2024 · Linear regression is a method used in machine learning that involves creating a model to predict a value based on one or more input variables. There are models with higher accuracy that can perform worse in predictive power—how does that make sense? Prepare for your machine learning viva and interviews notes with this comprehensive list of 50+ important questions and expert answers. H2O. Machine learning ML Viva Questions with answer – sem 6 AI-DS/ML T TEAM / APRIL 13, 2024 / VIVA QUESTIONS Q3: Define the terms Classification and Clustering in the context of machine learning. It involves using algorithms to identify patterns and relationships within data, optimizing predictions or decisions based on a defined objective About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright Prepare for your next ML job with these top 50 machine learning interview questions and answers. Feature Learning deals with the algorithm by learning about the dataset. How do deep learning models compare to traditional machine learning models? Deep learning models can automatically learn features from raw data. 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. Oct 18, 2024 · 22. AI and ML Lab -VIVA Questions - Free download as Word Doc (. In some fields, (bioinformatics, internet marketing, etc) we end up collecting data that has many thousands or tens of thousands of dimensions. In tech interviews, Python ML-related questions not only assess a candidate's Sep 30, 2024 · Here’s a comprehensive list of 100 AI/ML interview questions for developers covering fundamental concepts, algorithms, statistics, optimization, deployment, and case-based questions. This series offers a carefully curated set of interview questions and answers, based on com Jan 17, 2025 · Google Cloud AI: AI and machine learning services provided by Google Cloud. From decoding the rationale behind F1 scores to navigating the nuances of logistic regression’s nomenclature, these questions unveil the depth of understanding expected from Dec 18, 2024 · Machine Learning involves the development of algorithms and statistical models that enable computers to improve their performance in tasks through experience. Supervised Machine Learning: All You Need to Know Lesson - 32. " 13) What is Markov's Decision process? To mitigate these challenges, various techniques and advanced versions of decision trees are available. 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 are the main applications of Machine Learning? Python ML is the use of the Python programming language in the implementation of machine learning algorithms. Employers ask technical questions to assess understanding of key concepts, algorithms, and practical applications. ML_Viva_Questions_and_Answers - Free download as PDF File (. What is Python? - Python is a high-level, interpreted programming language known for its simplicity and readability. Click the questions to see detailed answers along with video explanations. The Machine Learning Viva questions with answers. It shows true positives, true negatives, false positives, and false negatives. Principal Component Analysis (PCA) is a useful technique when dealing with large datasets. Key topics include supervised and unsupervised learning, overfitting, feature engineering, and model generalization. Mar 17, 2025 · A list of frequently asked machine learning interview questions and answers are given below. Feb 16, 2025 · Candidates may be asked to discuss real-world machine learning applications they have worked on, challenges faced during projects, how they approached problem-solving, and their understanding of the broader implications and ethical considerations of deploying machine learning systems. Artificial Intelligence Mar 9, 2025 · Mosed Asked PhD Thesis Defense Viva-Voce Questions and Answers. Sep 2, 2023 · In the ever-evolving landscape of machine learning, understanding key concepts and algorithms is crucial. Sc (computer science), M. Define Artificial Intelligence. - zafstojano/ml-interview-questions-and-answers Nov 28, 2023 · Ace your machine learning interview with EPAM Anywhere's TOP 42 questions and answers, covering essential concepts, algorithms, and techniques. Apr 5, 2024 · Brush up on your machine learning expertise with a self-paced course from an industry leader, like SAS' Machine Learning Rock Star, or hone your skills through Andrew Ng's three-course Machine Learning Specialisation offered by Stanford and DeepLearning. Some of them are as follows: Naive Bayes: Naive Bayes is a probabilistic technique that is extensively used in NLP for text classification tasks. Amazon SageMaker: A fully managed service by AWS for building, training, and deploying machine learning models. docx), PDF File (. ai: An open-source platform for AI and machine learning. UNIT 1: Basics of Machine Learning and Decision Trees. Dec 23, 2024 · In this article, you will explore essential KNN interview questions tailored for freshers, along with comprehensive KNN interview questions and answers. Apr 21, 2025 · Machine Learning involves the development of algorithms and statistical models that enable computers to improve their performance in tasks through experience. What is Machine Learning. These are all the 50 Common Dissertation PhD Viva Questions and Sample Answers you can prepare to answer during the defense. If you are preparing for machine learning interview, this intervie 15+ min read Top 50 Plus Statistics Interview Questions and Answers for 2025 May 2, 2025 · 15. Components like Convolution, ReLU, and Pooling work for that, with numerous iterations between them. IBM Watson: A suite of AI tools and applications developed by IBM. Therefore, with the increasing demand for Machine Learning professionals, it becomes imperative for the student community pursuing courses in this domain to prepare effectively for viva examinations. And your mastery of key concepts in data science and machine learning (← this is the focus of this post) In this post, we’ll provide some examples of machine learning interview questions and Jan 23, 2025 · Answer: A Variational Autoencoder (VAE) is a machine learning model that takes data (like an image), compresses it into a small set of numbers, and then recreates the original data from those numbers. Additionally, we will provide valuable insights into KNN exam questions and answers to enhance your understanding of this fundamental machine learning algorithm. • Reinforcement: Learning through rewards/punishments. txt) or read online for free. Unlike the hard coding rule to solve the problem, machine learning algorithms learn from the data. May 1, 2025 · A decision tree classifier is a supervised Machine Learning Method and a type of classifier that is one of the simplest algorithms that can be used for both regression and classification problems. • Unsupervised: Learning from unlabeled data. 1. Sep 2, 2024 · Deep learning can be used for supervised, unsupervised as well as reinforcement machine learning. Sc (computer science), BCA, MCA and many more. AIML LAB Viva Voce Questions & Answers. Covering a wide range of topics from basic concepts to advanced techniques, this resource will help you ace your interview and land your dream job in data science. What is the purpose of a confusion matrix, and how is it interpreted? It evaluates classification models. Machine learning is a computer program where the machine is intended to do the task T with Experience Dec 2, 2024 · Intermediate Level Machine Learning Interview Questions and Answers; Top 10 frequently asked Machine learning Interview Questions; Conclusion; Machine Learning Interview Questions FAQ’s; Introduction . 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. With over 2,35,000+ job openings worldwide, machine learning skills are in high demand in the data science field. What is Machine Learning? o Machine Learning is a branch of AI that enables systems to learn from data and make decisions without being explicitly programmed. Types of Machine Learning: • Supervised: Learning from labeled data. PCA is an unsupervised, non-parametric statistical technique primarily used for dimensionality reduction in Machine Learning. . It is a broadly applied area in the field of artificial intelligence, originating from the ability of machines to learn from data and make predictions or decisions without being explicitly programmed. While learning, it tries to make the recreated data as close as possible to the original while also organising the numbers in a smooth Nov 18, 2024 · Machine learning interviews test a candidate’s knowledge and problem-solving skills in this fast-growing field. It involves predicting a continuous outcome variable (dependent variable) based on one or more predictor variables (independent variables). In the context of Artificial Intelligence, Viva Questions help to assess a candidate’s expertise in the subject, covering topics ranging from machine learning techniques to neural networks. What is Machine Learning? Answer: Machine Learning (ML) is a branch of Artificial Intelligence (AI) focused on developing systems that can learn and improve from data without explicit programming. Dec 30, 2024 · The AI-ML-DS Interview Series is an essential resource designed for individuals aspiring to start or switch careers in the fields of Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS). Be well-equipped to defend your thesis with this guide. As both are the two different concepts and the relation between both can be understood as "AI uses different Machine learning algorithms and concepts to solve the complex problems. Briefly explain the two major steps of CNN i. If you are preparing for machine learning interview, this intervie. Master your Machine Learning viva and interview with this Questions and Answers PDF. fzudssrx jzhilyw uboi rgjdf rvzqef yanon adpok xeyleq aklrwgx fxrm