In this post, you will learn about some of the interview questions that can be asked in the product manager/business analyst job.
In this post, you will learn about some of the interview questions that can be asked in the product manager/business analyst job. Some of the questions listed in this post can also prove to be useful for the interview for the job position of director or vice president, product management. The interview questions can be categorized based on some of the following topics:
This video will help you get an idea about the top machine learning and deep learning interview questions that are crucial to crack any data science interview. We have included conceptual, theoretical and practical questions on machine learning and deep learning techniques. Let’s begin!
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different