Learn Python! Explore how to use Python to code games and apps, work with machine learning, or analyze data via free Python tutorials.
Recurrent Neural Networks (RNNs) are used in all of the state-of-the-art language modeling tasks such as machine translation, document detection, sentiment analysis, and information extraction. Previously, we’ve only discussed the
Convolutional Neural Networks (CNNs) are used in all of the state-of-the-art vision tasks such as image classification, object detection and localization, and segmentation. Previously, we’ve only discussed the LeNet-5 architecture,
Dimensionality Reduction is a powerful technique that is widely used in data analytics and data science to help visualize data, select good features, and to train models efficiently. We use
Many neural network models, such as plain artificial neural networks or convolutional neural networks, perform really well on a wide range of data sets. They’re being used in mathematics, physics,
Data compression is a big topic that’s used in computer vision, computer networks, computer architecture, and many other fields. The point of data compression is to convert our input into
Determining data clusters is an essential task to any data analysis and can be a very tedious task to do manually! This task is nearly impossible to do by hand
Although deep learning has great potential to produce fantastic results, we can’t simply leave everything to the learning algorithm! In other words, we can’t treat the model as some black-box,
Neural networks have been used for a wide variety of tasks across different fields. But what about image-based tasks? We’d like to do everything we could with a regular neural
Read Part 1 here. Last time, we formulated our multilayer perceptron and discussed gradient descent, which told us to update our parameters in the opposite direction of the gradient. Now
Neural networks have been around for decades, but recent success stems from our ability to successfully train them with many hidden layers. We’ll be opening up the black-box that is
“Data science” or “Big data analyst” is a phrase that has been tossed around since the advent of Big Data. But what is it, really? Well imagine working for a
Computers are incredibly dumb. They have to be told explicitly what to do in the form of programs. Programs have to account for every possible branch of logic and are
If you have the basics of Python 3 down then you are ready to learn how to use those skills for web development. Python is a favorite among many developers
Are you an Analytics professional, modeler, or a big data professional who hasn’t had exposure to machine learning? Do you want to expand your current level of understanding so you
Welcome to an introduction to Pygame. Familiarity in Python will be required, but not game development. The course covers the basic setup of a Pygame file, drawing images and getting
Take your Python skills to the next level while learning about image filtering, processing, pattern recognition, machine learning, face detection. and other skills that are in high demand today. These
Python makes for a great first language. It was designed with the newcomer in mind. It has a simple, highly readable syntax and is easy to learn. Python requires less
Get started programming with Python, one of the world’s most popular and versatile programming languages. Whether you just need a brush-up or have never programmed with Python, you will be