Statistical Techniques
Statistical techniques refer to the methods and procedures used to analyze and interpret data in order to make informed decisions. These techniques involve the use of statistical models, algorithms, and tools to identify patterns, relationships, and trends in data. Statistical techniques are used in various fields such as business, healthcare, social sciences, and engineering to make predictions, estimate probabilities, and test hypotheses. Some common statistical techniques include regression analysis, hypothesis testing, clustering, and data visualization. These techniques are often used in conjunction with machine learning algorithms to build predictive models and make data-driven decisions.
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- Gradient-based Optimization: Gradient-based optimization is a technique used in machine learning and data science to find the optimal values of parameters in a model by iteratively adjusting them in the direction of steepest descent of a cost function. The cost functio ... Read More >>
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