Answer / Munazir Hussain

Dimensionality Reduction is a technique used to reduce the number of random variables under consideration, while retaining the essential information. This is useful in machine learning as it can alleviate the curse of dimensionality by minimizing overfitting, speeding up training times, and improving model interpretability.

What are some methods of reducing dimensionality?

1 Answers  

---

How do we know which machine learning algorithm is better for us to solve our problem?

1 Answers  

---

How is knn different from k-means?

1 Answers  

---

What is bayes' theorem?

1 Answers  

---

What is data structure? And what are the different types of data structures supported in r programming?

1 Answers  

---

How is machine learning used in the movement?

1 Answers  

---

Which are the two components of bayesian logic program?

1 Answers  

---

What do you understand by decision tree classification?

1 Answers  

---

Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

1 Answers  

---

How does a classifier work?

1 Answers  

---

Tell us when will you use classification over regression?

1 Answers  

---

What Are The Steps Involved In Machine Learning Project?

1 Answers  

---