6 must-know tips you should know 1 day before you go for your data science interview. These are 6 tips every data scientist should know.
Understand loss functions to optimize your machine learning models. Learn how to use different types of loss functions in your own ML models.
Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science. Read about the common application of SVD is data science.
Applications of linear algebra in data science and machine learning. These applications of linear algebra will help you to boost your data science skills
11 data science videos that show how data science is changing the world. Every data scientist should watch these videos to stay relevant in data science!
Bayes theorem is a powerful concept of statistics every data science professional should know. Learn what is Bayes theorem and applications of Bayes theorem