Unless you’ve been living in a secluded hut on the side of a remote mountain in Nepal, you’ve probably heard major chatter about AI in the last few months. First, we had GPT-3 back in late 2022. Then, we got AI-generated images with tools like Stable Diffusion. Now, just yesterday, OpenAI released GPT-4, a multimodal … Read more
The first question that aspiring data scientists ask me is “what is the best data science language … which should I learn.” And almost always, this is framed as a decision between R and Python. If you’re wondering which language you should learn first … And especially if you’re interested in artificial intelligence. Then keep … Read more
In this tutorial, I’ll show you how to use the Sklearn Linear Regression function to create linear regression models in Python. I’ll quickly review what linear regression is, explain the syntax of Sklearn LinearRegression, and I’ll show you step-by-step examples of how to use the technique. If you need something specific, just click on any … Read more
In this tutorial, I’ll show you how to use the Sklearn train_test_split function to split machine learning data into a training set and test set. I’ll review what the function does, I’ll explain the syntax, and I’ll show an example of how to use it. If you need something specific, just click on the appropriate … Read more
In this tutorial, I’ll show you how to use the Sklearn predict method to predict outputs using a machine learning model in Python. So I’ll quickly review what the method does, I’ll explain the syntax, and I’ll show a example of how to use the technique. If you need something specific, just click on the … Read more
In this tutorial, I’ll show you how to use the Sklearn Fit method to “fit” a machine learning model in Python. So I’ll quickly review what the method does, I’ll explain the syntax, and I’ll show you a step-by-step example of how to use the technique. If you need something specific, just click on any … Read more
In this tutorial, I’ll show you how to define a Numpy softmax function in Python. I’ll explain what the softmax function is. And I’ll show you the syntax for how to define the softmax function using the Numpy package. Additionally, I’ll show you a few examples of how it works. If you need something specific, … Read more
This blog post will show you how to implement Numpy relu. We’ll define a new function in Python that implements a rectifier activation function. So I’ll quickly explain what the ReLU function is. We’ll define the syntax for a Numpy relu function. And I’ll show you how it works in the examples section. If you … Read more
In this tutorial, I’ll show you how to use the Numpy arctan function to compute the trigonometric arctangent in Python. I’ll explain the syntax of np.arctan, how the function works, and how to use it. If you need something specific, just click on any of the following links. Table of Contents: Introduction to Numpy Arctan … Read more
This tutorial will quickly explain the difference between regression vs classification in machine learning. I’ll explain what regression is, what classification is, and then compare them so you can understand the difference. If you want to understand something specific, you can click on any of these links. They’ll take you to the proper section in … Read more