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data_analytics_ppt_answers_4th_unitbtech

• 1.
  What is ObjectSegmentation?Object Segmentation is the process of dividing data or an image intomeaningful regions or groups (segments) to identify and separateobjects based on features like color, shape, texture, patterns, orstatistical similarity.It is commonly used in:•Machine Learning & Data Analytics – to segment customers ordatasets•Computer Vision – to identify and isolate objects in images/videos•Medical Imaging – to detect tumors or abnormalities•Business Analytics – to group customers, products, or markets
• 4.
  In supervised learning,the model is trained withlabeled data where each input has acorresponding output.Supervised and Unsupervised learningOn the other hand, unsupervised learning involvestraining the model with unlabeled data which helpsto uncover patterns, structures or relationshipswithin the data without predefined outputs.
• 6.
  Q1. Object segmentationis commonly used in:A) Speech recognitionB) Medical image analysisC) Spam detectionD) File compressionAnswer: BQ2. Object segmentation is mainly used to:A) Predict future valuesB) Group pixels or data into meaningful objectsC) Convert text to audioD) Perform sortingAnswer: B
• 7.
  Q3. Regression modelsare used to:A) Predict categorical valuesB) Group similar itemsC) Predict continuous numeric valuesD) Delete dataAnswer: CQ4. Which of the following is an example of regression?A) Grouping customers by ageB) Predicting the temperature of tomorrowC) Dividing an image into pixelsD) Clustering product typesAnswer: B
• 8.
  5.Supervised learning requires:A)Only input dataB) Labeled data (input + output)C) No dataD) Only unlabeled data6.Unsupervised learning finds:A) Known outcomesB) Hidden patternsC) Regression equationsD) Loss functionsAnswer: BAnswer: B
• 9.
  1.Object segmentation dividesan image or dataset intomeaningful __________.2.In image segmentation, each __________ is classified to aspecific object or region.3.Regression is used to predict __________ values.Answer: segmentsAnswer: pixelAnswer: continuous
• 10.
  4.Regression uses __________learning, whereas segmentationoften uses __________ learning.5.Unsupervised learning works with __________ data.6.Customer segmentation is an example of __________learning.Answer: supervised, unsupervisedAnswer: unlabeledAnswer: unsupervised