Supervised Learning – Using Decision Trees to Classify Data
One challenge of neural or deep architectures is that it is difficult to determine what exactly is going on in the machine learning algorithm that makes a classifier decide how … Read more
Explore Free Supervised Learning Tutorials
Learn supervised learning! Explore how to train machines for machine learning tasks using input-output pairs via free supervised learning tutorials.
Advanced Recurrent Neural Networks
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 … Read more
Understanding Advanced Convolutional Neural Networks
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, … Read more
Recurrent Neural Networks for Language Modeling
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, … Read more
A Guide to Improving Deep Learning’s Performance
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, … Read more
Introduction to Convolutional Neural Networks for Vision Tasks
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 more
Complete Guide to Deep Neural Networks – Part 2
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 … Read more
Complete Guide to Deep Neural Networks – Part 1
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 … Read more
Building Blocks – Data Science and Linear Regression
“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 … Read more
Overview of Machine Learning
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 … Read more