Answer / Vivek Tripathi

Sequential supervised learning methods include Hidden Markov Models (HMM), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Conditional Restricted Boltzmann Machines (CRBM). These methods are used to handle sequential data where the order of instances is important.

What is the difference between inductive and deductive learning?

1 Answers  

---

What is the f1 score? How would you use it?

1 Answers  

---

What are the recommended systems?

1 Answers  

---

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

1 Answers  

---

Can you explain how do you handle missing or corrupted data in a dataset?

1 Answers  

---

How does gaussian naive bayes work?

1 Answers  

---

What is the difference between a generative and discriminative model?

1 Answers  

---

What are collinearity and multicollinearity?

1 Answers  

---

Why is machine learning important?

1 Answers  

---

Is rotation necessary in PCA?

1 Answers  

---

Tell me what are your favorite use cases of machine learning models?

1 Answers  

---

Why do we convert categorical variables into factor? Which function is used in r to perform the same?

1 Answers  

---