Answer / Chandan Bhardwaj

Machine Learning (ML) is extensively used in various aspects of daily life. Some examples include: (1) Recommendation Systems - recommending products, movies, or songs based on user preferences. (2) Email Filtering - filtering spam emails. (3) Speech Recognition - converting speech to text for virtual assistants like Siri and Alexa. (4) Fraud Detection - detecting fraudulent transactions in banking. (5) Image Recognition - recognizing objects, faces, or scenes in photos.

What is the most frequent metric to assess model accuracy for classification problems?

1 Answers  

---

What is a Confusion Matrix?

1 Answers  

---

What is keras sequential model?

1 Answers  

---

What do you understand by cluster sampling?

1 Answers  

---

How do classification and regression differ?

1 Answers  

---

What cross-validation technique would you use on a time series dataset?

1 Answers  

---

How is bayes' theorem useful in a machine learning context?

1 Answers  

---

Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

1 Answers  

---

Describe the classifier in machine learning.

1 Answers  

---

Explain the bias-variance tradeoff.

1 Answers  

---

On what basis do you choose a classifier?

1 Answers  

---

What is the benefit of naïve bayes mcq?

1 Answers  

---