Machine Learning 101: Key Terminologies Explained
Discover key machine learning terminologies: algorithms, datasets, neural networks, and more in this easy-to-understand guide to AI basics.
Discover key machine learning terminologies: algorithms, datasets, neural networks, and more in this easy-to-understand guide to AI basics.
Discover the basic math behind machine learning in simple terms. Learn how everyday numbers and ideas power smart technology.
Explore basic machine learning concepts in this guide. Learn about types of machine learning, key terms, and real-world applications.
Learn how to visualize data and find an optimal regression model using lazypredict package with alltime top 500 movies dataset.
Learn how to make a Python algorithm for generating song recommendations based on Spotify dataset by using K-means clustering algorithm.
Learn how to make a powerful chatbot using OpenAI API to access their GPT models and what you can do with them using LangChain library.
Learn how to create a complete movie recommendation system, including retrieval and ranking stages, with Tensorflow.
Learn how to make a simple movie recommendation system using Tensorflow. This tutorial uses movielens dataset for demonstration.
Learn from this simple example about how to make a machine learning model for classifying 3D figures, in this case, from 3D MNIST dataset.
Learn to make a simple example of variational autoencoder using Tensorflow. In this tutorial we demonstrate its inner working on MNIST dataset
Learn how to make a simple AI model that can generate music in MIDI file format. This example shows how to utilize recurrent neural networks.
Learn how to make a simple speech recognition algorithm using Google's machine learning library Tensorflow.