Answer / Neeraj Chaudhary

Random Forest is a popular ensemble learning method for both classification and regression tasks. It works by building multiple decision trees on randomly selected subsets of the training data and feature sets, then aggregating their predictions to make a final prediction.

Tell me what are the last machine learning papers you've read?

0 Answers  

---

Tell us do you have research experience in machine learning?

0 Answers  

---

What are the different Algorithm techniques in Machine Learning?

1 Answers  

---

Give a drawback of gradient descent ?

1 Answers  

---

What is pca in ml?

1 Answers  

---

Tell me what is a recommendation system?

1 Answers  

---

What is adagrad algorithm in machine learning?

1 Answers  

---

Why machine learning is popular now?

1 Answers  

---

What is Test set in machine learning?

1 Answers  

---

An example where ensemble techniques might be useful?

1 Answers  

---

What are the functions of unsupervised learning?

1 Answers  

---

Describe 'training set' and 'training test'.

1 Answers  

---