Prepare Yourself With These Big Data Interview Questions
Are you planning to prepare yourself for Big Data interviews and become a successful Big Data Expert? You have landed on the right page. This article talks about the top…
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AutoML Libraries for Python, you should know.
AutoML provides tools that automatically discover good machine learning model pipelines for a particular dataset without much user intervention. It is ideal for machine learning practitioners or domain experts new…
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Comprehensive Guide to help you become an Ethical Hacker
Ethical Hacking is a perfect career choice for those interested in communication, IT security, and problem-solving. This article aims at serving as a guide to become an ethical hacker. It…
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Is Data Science for non-tech people?
Who are non-technical people? Those without an engineering degree? The journey for these people to become a data scientist is not very different from the technical ones. To be in…
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Reinforcement Learning: Difference between Q and Deep Q learning
Artificial Intelligence has an estimated market of 7.35 billion US dollars and is growing by leaps and bounds. As predicted by McKinsey, AI, including reinforcement learning and deep learning techniques,…
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Big Data Science’s Reliance on Qualified Data Engineers
A distinct discipline is emerging as the area of data science matures: data engineering. The importance of data engineers compared to data scientists is acknowledged by tech giants, including Facebook,…
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Principal Component Analysis vs Linear Discriminant Analysis
In machine learning, reducing dimensionality is a critical approach. Overfitting of the learning model may result in a large number of features available in the dataset. There are two standard…
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K-Means Clustering vs Hierarchical Clustering
A form of exploratory data analysis in which observations are divided into different groups with standard features is known as clustering analysis. The purpose of classification or cluster analysis is…
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Decision Tree vs. Random Forest for Classification Problems
Decision trees are part of the Supervised Classification Algorithm family. On classification issues, they work very well, the decisional route is reasonably easy to understand, and the algorithm is fast…
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What is Dimensionality Reduction in Machine Learning?
Machine learning is nothing but a research field that allows computers without any specific programming to “learn” like humans. High-dimensionality statistics and dimensionality reduction techniques that have been used for…
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