#27 in Probability & statistics books
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Reddit mentions of Naked Statistics
Sentiment score: 3
Reddit mentions: 4
We found 4 Reddit mentions of Naked Statistics. Here are the top ones.
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| Release date | May 2014 |
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If you're comfortable with Python and some math notation Python Machine Learning, is a great resource for getting started. There's a great balance between explaining concepts and applying code.
In Machine Learning, knowledge of statistics is a huge help. This book explains basic concepts and this Pycon talk applies them in practice.
If you're looking to understand concepts and theories, Calculus and a bit of Linear Algebra will go a long way.
Found Naked Statistics to be a great casual read.
https://www.amazon.com/dp/1480590185
This is really good. But you should be aware of this might be outdated. The basics are the same. I browsed someone has recommended Andrew Ng's course. I've been doing this for my master's degree. You definitely need to know math and statistics. For statistics, I recommend you check this out :https://www.openintro.org/stat/textbook.php
they have high school, university, maybe middle school. Anyway, so many people recommend you lots of things, but I don't think most of them consider you are 13 years old (No offence ). Some knowledge in math are a bit difficult for you to understand at the moment, but don't worry; you can remember it first and try to find some introductionary book. such as https://www.amazon.com/Naked-Statistics-Stripping-Dread-Data/dp/1480590185 it's a good read anyway.
You might find a book like Naked Statistics (https://www.amazon.com/Naked-Statistics-Stripping-Dread-Data/dp/1480590185) pretty helpful. The author uses a lot of common-place terminology and situations and helps the reader develop an intuition for the main ideas in statistics.
Imagine two buses... one is full of marathon runners and the other is full of participants in a festival of sausage. You stop each bus and weigh all the passengers. Since marathon runners tend to be lean and more uniform in size, more of them will be closer to the average weight. People attending a festival of sausage will be more diverse. Some will be thin others chunky, and others quite obese. Each individual's weight is more likely to be farther away from their average weight. In this case, the bus with marathon runners will have a lower variance in weight than the bus with the festival of sausage attendees.
The book does a better job than my paraphrased example.