# Statistics

Mathematics Statistics

#### How To Update Your Beliefs Systematically – Bayes’ Theorem

Here’s a great video that explains Bayes’ theorem with examples and implications for life. I didn’t say it explicitly in the video, but in my view the Bayesian trap is interpreting events that happen repeatedly as events that happen inevitably. They may be inevitable OR they may simply be the outcome of a series of […]

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Data Science Mathematics Statistics

#### Statistics and Probability for Data Science

A lot of people ask me about breaking into the fields of AI and data science. Many are surprised to hear that the core of it all revolves around statistics more so than “just code.” This session on Statistics And Probability will cover all the fundamentals of stats and probability. Topics Covered : 00:00:00 Introduction […]

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Data Science Mathematics

#### Practical Statistics for Data Scientists – Exploratory Data Analysis

This is an overview of Chapter 1 of Practical Statistics for Data Scientists. Shashank Kalanithi goes over the first couple of chapters of this book because the later chapters cover similar materials from my Hands on Machine Learning book overview videos.

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Machine Learning Python

#### Machine Learning for Beginners: Binary Cross Entropy Loss Error Function

In this lesson from Python Simplified  learn the binary Log Loss/Cross Entropy Error Function and break it down to the very basic details.

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Data Science Mathematics Statistics

#### A Clear Explanation of Naive Bayes

StatQuest with Josh Starmer explains Naive Bayes in a clear way. When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier – which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, […]

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Data Science

#### Bayesian Data Science by Simulation Tutorial

Here’s an interesting session from the SciPy 2020 virtual conference. As a foundational tutorial in statistics and Bayesian inference, the intended audience is Pythonistas who are interested in gaining a foundational knowledge of probability theory and the basics of parameter estimation. Knowledge of `numpy`, `matplotlib`, and Python are prerequisites for this tutorial, in addition to […]

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Ethics Statistics

#### This Is How Easy It Is to Lie With Statistics

Zach Star explains how misleading statistics can be (even when the numbers are 100% correct!).

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Current Events

#### Extreme Events and How to Live with Them by Nassim Nicholas Taleb

Darwin College Lecture Series hosts Professor Nassim Nicholas Taleb to talk about the impact of extreme events. While COVID is not directly referenced, it’s clear that the current pandemic counts as an extreme event. Nassim Nicholas Taleb spent 21 years as a risk taker before becoming a researcher in philosophical, mathematical and (mostly) practical problems […]

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Statistics

#### Coronavirus: Keep calm and know the data

Coronavirus was declared a pandemic on Wednesday due to its widespread transmission across the world. But in terms of severity, it remains relatively low, with certain demographics more vulnerable than others. Evening Standard shows us five categories of data to shed some perspective on the scale of the crisis.

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AI

#### Michael I. Jordan on Machine Learning, Recommender Systems, and the Future of AI

Lex Fridman interviews Michael Jordan – not that Michael Jordan. Michael I Jordan is a professor at Berkeley, and one of the most influential people in the history of machine learning, statistics, and artificial intelligence. He has been cited over 170,000 times and has mentored many of the world-class researchers defining the field of AI […]

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