Answer / Franklin Eric Kujur

The trade-off between bias and variance refers to a common problem in machine learning where finding a model with low bias (simple models that make fewer assumptions) can result in high variance (models that fit noise instead of underlying trends), while finding a model with low variance (complex models that capture underlying patterns) can lead to high bias (models that fail to generalize well to unseen data).

What is the standard approach to supervised learning?

1 Answers  

---

What is pca in ml?

1 Answers  

---

Define kernel svm?

1 Answers  

---

Explain what is the difference between inductive machine learning and deductive machine learning?

1 Answers  

---

Is machine learning artificial intelligence?

1 Answers  

---

Mention any one of the data visualization tools that you are familiar with?

1 Answers  

---

What is the classifier in machine learning?

1 Answers  

---

What is naive bayes classifier?

1 Answers  

---

What is logistic regression? State an example when you have used logistic regression recently.

1 Answers  

---

Differentiate between a parameter and a hyperparameter?

1 Answers  

---

What is sequence to sequence?

1 Answers  

---

What do you mean by genetic programming?

1 Answers  

---