Answer / Nitesh Kumar Singh

Test Set is a portion of data that is held out during model training to evaluate the generalization performance of the model. It allows researchers and practitioners to estimate how well their model will perform on unseen data.

Explain how do you think google is training data for self-driving cars?

1 Answers  

---

What is the calibration layer in machine learning?

1 Answers  

---

Explain why is naive bayes better than decision tree?

1 Answers  

---

How would you use fl score?

1 Answers  

---

What do you understand by cluster sampling?

1 Answers  

---

Which operating system is best for machine learning?

1 Answers  

---

What is the “kernel trick” and how is it useful?

1 Answers  

---

How do bias and variance play out in machine learning?

1 Answers  

---

Which language is better for machine learning?

1 Answers  

---

How is machine learning used in day-to-day life?

1 Answers  

---

Which language is better for machine learning r or python?

1 Answers  

---

Is naïve bayes a supervised or unsupervised method?

1 Answers  

---