Statistics

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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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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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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Data Science Python

11 Hours Full Data Science with Python Beginners Course

Great Learning has posted this 11 hour full course on Data Science with Python for Beginners course. Index: Statistics vs Machine Learning – 2:15 Types of Statistics – 8:55 Types of Data – 1:50:35 Correlation – 2:45:50 Covariance – 2:52:23 Basics of Python – 4:24:36 Python Data Structures – 4:43:58 Flow Control Statements in Python […]

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Machine Learning

Reliable Machine Learning Systems

Siraj Raval has a video exploring a paper about genomics and creating reliable machine learning systems. Deep learning classifiers make the ladies (and gentlemen) swoon, but they often classify novel data that’s not in the training set incorrectly with high confidence. This has serious real world consequences! In Medicine, this could mean misdiagnosing a patient. […]

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