Answer / Amardeep Singh Sethi

Bayesian and Frequentist are two main philosophical schools of statistical inference. Bayesian methods update the probability of a hypothesis based on observed data, using prior knowledge to inform the estimation process. In contrast, Frequentist methods estimate parameters as fixed quantities from the sample data, without incorporating prior knowledge. Bayesian methods often require more computational resources and complex models but can provide probabilistic interpretations of results.

What is the difference between heuristic for rule learning and heuristics for decision

1 Answers  

---

Why machine learning is popular now?

1 Answers  

---

What is the best language to learn machine learning?

1 Answers  

---

Which operating system is best for machine learning?

1 Answers  

---

How to handle missing data in a dataset in Machine Learning?

1 Answers  

---

Why is naive bayes so naive?

1 Answers  

---

What is batch size machine learning?

1 Answers  

---

How is F1 score is used?

1 Answers  

---

Do you know which is more important to you– model accuracy, or model performance?

1 Answers  

---

Why naïve bayes is called naïve?

1 Answers  

---

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

1 Answers  

---

Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

1 Answers  

---