Answer / Mukesh Singh

Supervised learning is a type of machine learning where the algorithm learns to predict an output (dependent variable) based on labeled input data (independent variables). Unsupervised learning, on the other hand, deals with unlabeled data. The goal is to find patterns or structures within the data without specific guidance about what those patterns should look like.

Do I need to learn python for machine learning?

1 Answers  

---

Explain the various benefits of r language?

1 Answers  

---

“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

1 Answers  

---

What is the box-cox transformation used for?

1 Answers  

---

What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?

1 Answers  

---

What is an Incremental Learning algorithm in the ensemble?

1 Answers  

---

Explain the different types of classifiers?

1 Answers  

---

Tell me what is supervised versus unsupervised learning?

1 Answers  

---

What is an imbalanced dataset? Can you list some ways to deal with it?

1 Answers  

---

What is bias-variance decomposition of classification error in ensemble method?

1 Answers  

---

Give a drawback of gradient descent ?

1 Answers  

---

What are the classification problems in machine learning?

1 Answers  

---