Answer / Kshitij Kumar Trivedi

Data mining is a process of discovering patterns and insights from large datasets, whereas machine learning is a method of achieving this pattern discovery by training algorithms to learn from data. In other words, data mining is a step within the machine learning process that involves the exploration and analysis of data using various techniques like clustering, association rule mining, and classification.

What is naive bayes used for?

1 Answers  

---

What is the baseline for machine learning?

1 Answers  

---

What is a Confusion Matrix?

1 Answers  

---

What’s the difference between a generative and discriminative model?

1 Answers  

---

Explain how do classification and regression differ?

1 Answers  

---

What are the machine learning techniques?

1 Answers  

---

What is conditional probability explain with an example?

1 Answers  

---

What is machine learning in artificial intelligence?

1 Answers  

---

Which library would you prefer for plotting in Python language: Seaborn or Matplotlib or Bokeh?

1 Answers  

---

Which language is best for deep learning?

1 Answers  

---

Why overfitting occurs?

1 Answers  

---

Explain the benefit of naive bayes in machine learning?

1 Answers  

---