What is Continuous Integration and Continuous Delivery (CICD)?

What is Ensemble learning?

What is the difference between Training dataset and Test dataset?

What are the uses of Supervised Learning in ML?

What are the pros and cons of Support Vector Machine (SVM) algorithm?

What is dimension reduction in machine learning?

What is Feature projection in machine learning?

What is the trade off between bias and variance?

What is the difference between bagging and boosting methods in ensemble learning?

What is Dependency Injection (DI)?

What are the different types of design patterns?

Why do we use Apache Zookeeper?

What is Continuous Integration and Continuous Delivery (CICD)?

How Will You Avoid Overfitting in Machine Learning? (ML Interview Question)

What is Overfitting in Machine learning? (ML Interview Question)

What is the difference between Data Mining and Machine learning?

What is the use of Machine learning? (ML Interview Question)

What do you know about the Shared Nothing architecture?

What do you know about Memcached?

What is the difference between Data Mining and Machine learning?

How will you choose between Relational DB and NoSQL DB during system design?

What are the differences between publisher subscriber and message queue models?

How does Circuit Breaker pattern work in a software system?

How does the Map Reduce algorithm work?

What are the situations in which Cassandra is useful?