This video is for anyone who doesn't know what machine learning is, wants a simple explanation of what it is & how to get started. Machine Learning is a broad topic that includes a slew of techniques, old and new. In this presentation, I break down the bits and pieces all Machine Learning techniques have in common and relate them to common techniques like Simple Linear Regression, Multiple Regression, Logistic Regression, Support Vector Machine and Decision Trees. I talk about the what makes Neural Networks different than other techniques and walk through one example of how they are used in identifying hand written digits. Let me know what you think in the comments below - I'm always looking for topics you'd like to see & explained! Credit to the visuals for the Neural Network example goes to Grant Sanderson with 3Blue1Brown! Music: www.bensound.com ... https://www.youtube.com/watch?v=HcBZ2Bco3V4

Probability and statistics are hard enough on their own. With the help of animations like this, I'm hoping to tackle more complicated topics in future videos. Here's a quick preview of how animations can help paint that mental picture of what's happening when you subtract the mean and divide by standard deviation. Let me know what you think about using animations like this for statistics! Music: www.bensound.com ... https://www.youtube.com/watch?v=YsO7V5Kf0Y8

Although R has great built in tools, there are limitless tools you can download made by other users for free - here's how! Music: www.bensound.com ... https://www.youtube.com/watch?v=4mco2z9Y0WA

What is central tendency? What is the mean? Does it always work? Let's find out! ... https://www.youtube.com/watch?v=f0NbCndDW14