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June 2019 Blog Posts (4)

How to learn the maths of Data Science using your high school maths knowledge

By Ajit Jaokar. This post is a part of my forthcoming book on Mathematical foundations of Data Science. In this post, we use the Perceptron algorithm to bridge the gap between high school maths and deep learning. 

Background

As part of my role as course director of the Artificial Intelligence: Cloud and Edge Computing at the University of Oxford, I see more students who are familiar with programming than with mathematics.

They have last learnt maths…

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Added by Vincent Granville on June 27, 2019 at 12:22pm — No Comments

Machine Learning and Data Science Cheat Sheet

Originally published in 2014 and viewed more than 200,000 times, this is the oldest data science cheat sheet - the mother of all the numerous cheat sheets that are so popular nowadays. I decided to update it in June 2019. While the first half, dealing with installing components on your laptop and learning UNIX, regular expressions, and file management hasn't changed much, the second half, dealing with machine learning, was rewritten entirely from scratch. It is amazing how things changed in…

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Added by Vincent Granville on June 6, 2019 at 8:27pm — No Comments

Questions To Answer And Factors To Consider For Web Analytics

It will be unwise to expect you will generate lot of sales if you have significant amount of web traffic. It alone cannot be of much help in this matter. You will need to track the website metrics properly in order to take necessary measure to convert the traffic into your business prospects. You will need to analyze your website from time to time to ensure that it is not only accessible to the users but also provides all necessary guidance to show them the right way to make a…

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Added by Jenny Richards on June 6, 2019 at 1:30am — No Comments

7 Simple Tricks to Handle Complex Machine Learning Issues

We propose simple solutions to important problems that all data scientists face almost every day. In short, a toolbox for the handyman, useful to busy professionals in any field.

1. Eliminating sample size effectsMany statistics, such as correlations or R-squared, depend on the sample size, making it difficult to…

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Added by Vincent Granville on June 4, 2019 at 12:00pm — No Comments

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