Tag: Interview Questions
Machine Learning Interview questions Part -2
1 – Define precision and recall? The precision and recall are two measures of data quality. They are used to determine the proportion of relevant data that is found by a search algorithm. Precision is a measure of how many of the retrieved records are correct. Recall is a measure of how many of the…
Read MoreMachine Learning Interview questions Part -1
1 – What are Different Types of Machine Learning algorithms? There are various types of machine learning algorithms. The most popular ones include supervised learning, unsupervised learning and reinforcement learning. Supervised Learning: Supervised machine learning is when a human has to provide the correct answer for the algorithm to learn from. This is done by…
Read MoreDeep Learning interview questions Part -2
1 – What are autoencoders? Explain the different layers of autoencoders. Autoencoders are neural networks that are trained to reconstruct an input data into a desired output data. They can be thought of as the opposite of a traditional classifier, which is trained to classify inputs into pre-defined classes. Autoencoders can be seen as a…
Read MoreDeep Learning interview questions Part -1
1 – What is data normalization? What’s the need for it? Data normalization is a process of transforming data from one format to another in order to improve the quality of the data and make it more usable for analysis. In this process data is organized and formatted in such a way that it’s easier…
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