Answer / Ashwini Kumar Singh

Google, through its Waymo subsidiary, collects vast amounts of driving data using a fleet of custom-built vehicles equipped with sensors and cameras. This data is then manually annotated to label various elements such as traffic lights, pedestrians, and other vehicles. The labeled data is used to train deep learning models for self-driving cars.

What’s the trade-off between bias and variance?

1 Answers  

---

Explain the difference between bayesian and frequentist?

1 Answers  

---

An example where ensemble techniques might be useful?

1 Answers  

---

How was bayes’ theorem useful in a machine learning context?

1 Answers  

---

What is the classifier in machine learning?

1 Answers  

---

Tell us how would you approach the “netflix prize” competition?

1 Answers  

---

Explain me how would you handle an imbalanced dataset?

1 Answers  

---

Is naive bayes supervised learning?

1 Answers  

---

What is the difference between inductive machine learning and deductive machine learning?

1 Answers  

---

Which os is best for machine learning?

1 Answers  

---

How to decide one problem is a machine learning problem or not?

1 Answers  

---

Choose any machine learning algorithm and describe it.

1 Answers   Microsoft,

---