#### How to implement Naive Bayes from scratch with Python

- Frank
- September 17, 2022
- Bayes
- Python

In the 6th lesson of the Machine Learning from Scratch course, learn how to implement the Naive Bayes algorithm. You can find the code here: https://github.com/AssemblyAI-Examples/Machine-Learning-From-Scratch

Read More#### Kristen Kehrer on Statistics, Data Poetry, and Dunkies

In this episode of Data Driven, I interview Kristen Kehrer, developer advocate at CometML and host of the Cool Data Projects Show. In case, you’re wondering where is Andy. He was unable to make the recording due to a last minute schedule change. The show must go on, after all. Learn more about CometML https://www.comet.com/?utm_source=kristen&utm_medium=referral&utm_campaign=online_kristen_2022 Related […]

Read More#### 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 […]

Read More#### Statistics in Julia

Statistics is a domain where some early stage development of packages, and some early applications, have come about in Julia. From Ajay Shah at JuliaCon 2022 We think of this mini-symposium as a combination of (a) Report on many interesting recent developments in this field and (b) Offer a birds eye view to the people […]

Read More#### Statistics and Probability for Data Science

- Frank
- June 8, 2022
- data science edureka
- data science probability and statistics
- data science statistics
- Data Science Training
- edureka
- probability
- Probability and Statistics
- Statistics
- statistics and probability
- statistics and probability course
- statistics and probability for data science
- statistics and probability for machine learning
- statistics and probability tutorial
- statistics course for data science
- statistics edureka
- Statistics for Data Science
- Statistics Tutorial

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 […]

Read More#### Statistics & Probability for Data Science

- Frank
- January 3, 2022
- data science edureka
- Data Science Tutorial
- edureka
- mathematics and statistics for data science
- probability and statistics using r
- r programming language tutorial
- statistics edureka
- Statistics for Data Science
- statistics for data science beginners
- statistics for data science for beginners
- statistics for data science python
- statistics for data science tutorial
- Statistics Tutorial
- statistics using r
- statistics using r tutorial

I’m often asked about the basics of data science and how to break into the field. I tell folks that it’s 80% statistics and 20% everything else. This session on Statistics And Probability will cover all the fundamentals of stats and probability concepts used in Data Science. Topics covered in this video: 00:00:00 Introduction 00:00:33 […]

Read More#### Is Bayesian thinking a sham?

Here’s a thought provoking video by Julia Galef There’s a common criticism that people who claim to practice “Bayesian thinking” aren’t actually doing anything special — they’re just using a fancy term to make their opinions seem more objective than they really are. In this video I explain why that criticism is misguided.

Read More#### Principal Component Analysis (PCA) Explained

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data. Steve Brunton explains it in this great video.

Read More#### 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, […]

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

- Frank
- April 6, 2020
- applications of mathematics
- applications of statistics
- applied math
- applied statistics
- how statistics can mislead
- how to lie with statistics
- major prep
- majorprep
- misleading statistics
- real world use of statistics
- Statistics
- statistics used in criminal cases
- stats
- the power of statistics

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

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