### Mathematics behind Machine Learning – The Core Concepts you Need to Know

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including …

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Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including …

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of …

Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more …

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at …

Overview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems …

We are thrilled to announce the launch of the world’s biggest online data science quizzing platform: Datamin! Do you feel some of your peers …

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, …

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, …

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!

List of must read books on machine learning and artificial intelligence provides an overview to a data scientist and its uses in modeling

- 6 Exciting Open Source Data Science Projects you Should Start Working on Today
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- Mathematics behind Machine Learning – The Core Concepts you Need to Know
- A Simple Introduction to ANOVA (with applications in Excel)
- 7 Regression Techniques you should know!
- Introduction to k-Nearest Neighbors: A powerful Machine Learning Algorithm (with implementation in Python & R)
- 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R

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