Software


Software refers to a set of instructions or programs that tell a computer what to do. In the context of data science and artificial intelligence, software is used to develop, implement, and execute algorithms and models that analyze and interpret large amounts of data. This includes software for data collection, cleaning, and preprocessing, as well as software for machine learning, deep learning, and natural language processing. Software is also used to create visualizations and dashboards that help users understand and communicate insights from data. In addition, software plays a critical role in deploying and scaling data-driven applications and services.


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  • Supervised Training: Supervised training is a machine learning technique where an algorithm learns from labeled data to make predictions or decisions on new, unseen data. In supervised training, the algorithm is trained on a dataset where the input data is labe ... Read More >>
  • Discrimination: In Data Science, discrimination refers to the unfair or biased treatment of individuals or groups based on their membership in a particular demographic category, such as race, gender, age, or religion. Discrimination can occur in various st ... Read More >>
  • Hypothesis Testing: Hypothesis testing is a statistical method used to determine whether a hypothesis about a population parameter is supported by the sample data. It involves formulating a null hypothesis and an alternative hypothesis, selecting a significanc ... Read More >>
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