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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

This article explores how AI and Data Science complement each other, highlighting their combined impact and potential. Hypothesis testing and regression analysis are crucial for making predictions and understanding data relationships.

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Statistical Modeling: Types and Components

Pickl AI

Hypothesis Testing : Statistical Models help test hypotheses by analysing relationships between variables. These models help in hypothesis testing and determining the relationships between variables. Bayesian models and hypothesis tests (like t-tests or chi-square tests) are examples of inferential models.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. By understanding crucial concepts like Machine Learning, Data Mining, and Predictive Modelling, analysts can communicate effectively, collaborate with cross-functional teams, and make informed decisions that drive business success.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

In this article, we will explore some common data science interview questions that will help you prepare and increase your chances of success. Another example can be the algorithm of a support vector machine. What are Support Vectors in SVM (Support Vector Machine)?