Answer / Ashutosh Bhati

A/B testing (also known as split testing) is a statistical technique used to compare two versions of a webpage, app, or other user-facing elements to determine which performs better. In an A/B test, a random subset of users is shown one version (the control group), while another random subset is shown an alternative version (the test group). The performance metrics are then compared between the two groups to determine which variation has a statistically significant impact on user behavior.

Explain the difference between bayesian and frequentist?

1 Answers  

---

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

1 Answers  

---

Tell us an example where ensemble techniques might be useful?

1 Answers  

---

What is the activation function in Machine Learning?

1 Answers  

---

Explain the Genetic Programming in Machine Learning?

1 Answers  

---

How is machine learning (ml) different from artificial intelligence (ai)?

1 Answers  

---

Differentiate supervised and unsupervised machine learning.

1 Answers  

---

What according to you, is the standard approach to supervised learning?

1 Answers  

---

Explain the difference between L1 and L2 regularization?

1 Answers  

---

Is java used for ai?

1 Answers  

---

What is your training in machine learning and what types of hands-on experience do you have?

1 Answers  

---

Difference between Classification and Regression?

1 Answers  

---