
Data Analytics
Data Analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. It involves collecting, cleaning, transforming, and modeling data to extract insights and support decision-making. Data Analytics uses statistical and computational techniques such as data mining, machine learning, predictive modeling, and natural language processing to analyze data. It is used in various industries such as healthcare, finance, marketing, and e-commerce to improve business performance, optimize operations, and gain a competitive advantage.
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- Classes: In data science and artificial intelligence, classes refer to a blueprint for creating objects that encapsulate data and behavior. A class defines a set of attributes and methods that are common to all objects of that class. Attributes are ... Read More >>
- Bayesian Neural Networks: Bayesian Neural Networks (BNNs) are a type of neural network that incorporates Bayesian inference into the training process. BNNs use probability distributions to represent the uncertainty in the weights and biases of the network, allowing ... Read More >>
- Adam: Adam is not a term in Data Science or Artificial Intelligence. However, in the context of AI and Data Science, Adam can refer to a popular optimization algorithm called Adaptive Moment Estimation (Adam). Adam is an algorithm used for stocha ... Read More >>
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