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An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals
Bayes theorem is a powerful concept of statistics every data science professional should know. Learn what is Bayes theorem and applications of Bayes theorem
khyati 14 Jun, 2020
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What is a T-Test? | Learn How to Use and Interpret T-Tests (2025 Updates)
Learn about T-Tests, their types, uses, and formulas with R examples. Discover how they differ from ANOVA and when to perform them.
Analytics Vidhya 08 Dec, 2024
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6 Types of Probability Distribution in Data Science
Explore different types of probability distributions in statistics, including key distribution types and their applications. Read Now!
Ayushi Trivedi 07 Apr, 2025
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Naive Bayes Classifier Explained With Practical Problems
Learn how to use the Naive Bayes Classifier for fast and accurate classification in your machine learning projects. Start Reading Now!
Sunil Ray 01 May, 2025
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A comprehensive beginners guide to Linear Algebra for Data Scientists
A comprehensive guide explaining linear algebra, matrices, their use to solve linear equations and their application in data science & data scientists
Vikas Kumar 15 Oct, 2024
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TensorFlow 101: Understanding Tensors and Graphs to get you started in Deep Learning
TensorFlow is the popular library of deep learning. This article describes the basics of tensors and graphs and why tensors is important for tensorflow.
Guest Blog 24 May, 2020
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What is Linear Programming? Definition, Methods and Problems
Discover the fundamentals of linear programming and explore its definitions, methods, applications, and common problems in our article.
Analytics Vidhya 07 Apr, 2025
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Infographic – Learning Plan 2017 for beginners in data science
This is a learning plan for beginners in data science for 2017. Learn machine learning, deep learning & data science using this plan to get your first job.
Kunal Jain 28 Jan, 2017
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Guide to t-SNE ML Algorithm Implemented in R & Python
Explore PCA and t-SNE, their roles in dimensionality reduction, implementation details, use cases, and comparisons with other algorithms.
saurabh.jaju 30 Jan, 2025
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19 MOOCs on Mathematics & Statistics for Data Science & Machine Learning
Maths & Statistics are founding steps for data science & machine learning. List of open courses from edX, Coursera to learn Linear Algebra, Regression, Stat
Analytics Vidhya 09 Jan, 2017
