Introduction to ML.NET

Introduction to ML.NET

ML.NET is aimed at providing a first class experience for Machine Learning in .NET. Using ML.NET, .NET developers can develop and infuse custom AI into... Details
Demystifying AI

Demystifying AI

Here is a primer to introduce the concepts of deep learning with a specific focus on computer vision. It covers concepts including CNN’s (Convolutional Neural... Details
Is AI on Track to Achieving Super Intelligence?

Is AI on Track to Achieving Super Intelligence?

Here's an interesting look at AI: where it's headed and who's on top in the global race to be the global AI superpower. Details
Probabilistic Machine Learning in TensorFlow

Probabilistic Machine Learning in TensorFlow

Here's an interesting interview with Josh Dillon, who works on Tensorflow. In this video, he discusses working on the Distribution API, which is based on probabilistic... Details
How Autocorrelation Works

How Autocorrelation Works

Brandon Rohrer explains autocorrelation and partial autocorrelation, complete with pictures and Python code. Details
Python Pandas Dataframe Basics

Python Pandas Dataframe Basics

Here's a great overview of one of the key data structures you will encounter in Python: the DataFrame. Details
The Math of Machine Learning

The Math of Machine Learning

Siraj Raval explains the importance of math to machine learning. Details
A Simple Example of Machine Learning

A Simple Example of Machine Learning

In this episode of the AI Show, machine learning is gently introduced from the standpoint of the algorithm and model.  It starts with the simplest... Details
Logistic Regression Explained

Logistic Regression Explained

Here's a fun little video explaining logistic regression. Details