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# Vincent Granville's Blog – December 2019 Archive (4)

### How exactly do you determine causation?

Another good article by Ajit Joakar.

Co-relation does not equal causation – is a mantra drilled into a Data Scientist from an early age

That’s fine. But very few talk of the follow-on question ..

How exactly do you determine causation?

This problem is further compounded because most books and examples are based on standard datasets (ex: Boston, Iris etc) . These examples do not discuss…

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Added by Vincent Granville on December 17, 2019 at 2:30pm — No Comments

### Rule of thumb: Which AI / ML algorithms to apply

Written by Ajit Jaokar.

Firstly, there are three broad categories of algorithms:

• Supervised learning: You know how to classify the input data and the type of behavior you want to predict, but you need the algorithm to calculate it for you on new data
• Unsupervised learning: You do not know how to classify the data, and you want the algorithm to find patterns and classify the data for…
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Added by Vincent Granville on December 17, 2019 at 9:00am — No Comments

### Statistics for Data Science in One Picture

There's no doubt about it, probability and statistics is an enormous field, encompassing topics from the familiar (like the average) to the complex (regression analysis, correlation coefficients and hypothesis testing to name but a few). If you want to be a great data scientist, you have to know some basic statistics. The following picture shows which statistics topics you must know if you're going to excel in data science.…

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Added by Vincent Granville on December 12, 2019 at 6:30pm — No Comments

### On Being a 50 Year Old Data Scientist

At the time of writing, I'm a 52 year-old working in the fields of mathematics and data science. In mathematics, that makes me well-seasoned (and probably well-tenured, if I had chosen to continue in academia). In data science, some would consider me a dinosaur. In fact, many older people considering a career in data science might be put off by the thought that data science is tough to break into at a later age. But is that statement true? Should the over 50 crowd put down their textbooks…

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Added by Vincent Granville on December 10, 2019 at 11:51am — No Comments

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