Learn machine learning! Explore how to train computers for a variety of tasks like image recognition, data analysis, and more via free machine learning tutorials!
Master Machine Learning with Python and Tensorflow. Craft Advanced Artificial Neural Networks and Build Your Cutting-Edge AI Portfolio. The Machine Learning Mini-Degree is an on-demand learning curriculum composed of 6 professional-grade courses
?? Go from beginner to full-stack developer! The Complete Programming and Full-Stack Bundle is the world’s most effective way to go from beginner to professional coder. Whether your goal is to advance your
You can access the full course here: The Complete Artificial Neural Networks Developer Course Why do we even have artificial intelligence? Computers are really dumb machines! When we write code
We are excited to announce that we have just released a comprehensive new intermediate-level eBook on Machine Learning! Written by computer science researcher Mohit​ ​Deshpande, this eBook is guaranteed to
We are excited to announce the launch of our free ebook Machine Learning for Human Beings, authored by researcher in the field of computer vision and machine learning Mohit Deshpande, in collaboration
Think back to the time you first learned a skill: driving a car, playing an instrument, cooking a recipe. Let’s consider the example of playing chess. Initially, it might have
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
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