Category: Tutorial
Explain Big Data Analytics
The more your business grows, more raw data you collect. Data about customers, products, working and more. Data analytics converts raw data into insights. It includes a range of tools and technologies […]
Data Augmentation in Machine Learning
Performance of deep learning and machine learning models in particular, depends on the quality, quantity and relevancy of training data. However, insufficient data is a most common challenge in implementing machine learning. […]
Data Scientist Meaning
Data science is the science of analyzing data using statistics and machine learning with the purpose of drawing conclusions about that data.It is known to everyone that how popular Data Science is. […]
Artificial Intelligence Hardware Requirements
Artificial intelligence enables pervasive computing and becoming an omnipresent feature of everyday life.From datacenters to smartphones and personal assistants, there is a compelling need to develop bespoke hardware that is energy-efficient and […]
Data Analytics Meaning
Data is powerful, and organizations around the world understand the value that data analytics hold when it comes to driving organizational growth and profitability. Whether you’re a recent graduate or looking to […]
Data Science Meaning
Data science is an interdisciplinary academic field that uses statistics, scientific computing, processes, algorithms to extrapolate knowledge and insights from potentially structured or unstructured data. Also Data science continues to evolve as […]
Standard Deviation in Machine Learning
Standard deviation measures the dispersion of a dataset relative to its mean and is calculated as the square root of the variance. Standard deviation is calculated as the square root of variance […]
Data Distribution in Data Science
Probability distributions are one of the most used mathematical concepts used in various real-life applications. They are simply a collection of data of a particular random variable. Usually, these collections of data […]
Multiclass and Multilabel Classification
Machine learning classification assigns an output label to a piece of input data. Essentially, your function learns to detect whether your input data includes any of the assigned labels. Before determining whether […]
Data Leakage in Machine Learning
After performing all the tasks of machine learning, you are yet to perform one of the interesting tasks which is to analyze your models and evaluate their performance. In order to do […]
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