An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals
Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, …
statistics
Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R)
Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, …
Statistics for Data Science: Introduction to the Central Limit Theorem (with implementation in R)
What is the central limit theorem? What are it’s applications? And how can you implement the central limit theorem in R? Find out in this article!
Must Read Books for Beginners on Machine Learning and Artificial Intelligence
List of must read books on machine learning and artificial intelligence provides an overview to a data scientist and its uses in modeling
Google has Open Sourced the Amazing ‘What-If Tool’ to Perform Code-Free Visual ML Experiments
Google AI has announced the launch of the What-If Tool, a visual interface which lets users analyze machine learning models without writing any code!
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MyStory: Step by Step process of How I Became a Machine Learning Expert in 10 Months
Introduction Not so long ago, using the pivot tables option in Excel was the upper limit of my skills with numbers and the word …
Introduction to Regression Splines (with Python codes)
Introduction As a beginner in the world of data science, the first algorithm I was introduced to was Linear Regression. I applied it to …
A Simple Introduction to ANOVA (with applications in Excel)
Introduction Buying a new product or testing a new technique but not sure how it stacks up against the alternatives? It’s an all too …
41 questions on Statistics for data scientists & analysts
Introduction Statistics forms the back bone of data science or any analysis for that matter. Sound knowledge of statistics can help an analyst to …
