Bhagirath's Blog Vision

Series

Machine Learning & Data Science Interview Challenges

Machine learning and data science are increasingly among the most sought-after skills in tech. Read this article for advice on how to prepare for machine learning and data science interviews.

Articles in this series

#117 Machine Learning & Data Science Challenge 117

Feb 18, 20231 min read

What are the benefits of TensorFlow over other libraries? The following benefits are: • Scalability • Visualisation of Data • Debugging facility •...

#117 Machine Learning & Data Science Challenge 117

#116 Machine Learning & Data Science Challenge 116

Feb 17, 20231 min read

What is the difference between CNN and RNN? CNN (Convolutional Neural Network): • Best suited for spatial data like images. • CNN is powerful compared...

#116 Machine Learning & Data Science Challenge 116

#115 Machine Learning & Data Science Challenge 115

Feb 17, 20231 min read

What is a Pooling Layer? It is generally used in reducing the spatial dimensions and not depth, on a convolutional neural network model.

#115 Machine Learning & Data Science Challenge 115

#114 Machine Learning & Data Science Challenge 114

Feb 16, 20231 min read

What is Keras? It is an Open Source Neural Network library written in Python that runs on top of Theano or TensorFlow. It is designed to be modular,...

#114 Machine Learning & Data Science Challenge 114

#113 Machine Learning & Data Science Challenge 113

Feb 16, 20231 min read

What are the very important steps of Tensorflow architecture? There are three main steps in the Tensorflow architecture are: • Pre-process the Data •...

#113 Machine Learning & Data Science Challenge 113

#112 Machine Learning & Data Science Challenge 112

Feb 15, 20231 min read

What are the use cases of TensorFlow? TensorFlow is an important tool of deep learning, it has mainly five use cases, and they are: • Time Series •...

#112 Machine Learning & Data Science Challenge 112