[unable to retrieve full-text content]Are you interested in learning how to use Keras? Do you already have an understanding of how neural networks work? Check out this lean, fat-free 7 step plan for going from Keras newbie to master of its basics as quickly as is possible.
Original Post: 7 Steps to Mastering Deep Learning with Keras
[unable to retrieve full-text content]This is a short post for beginners learning neural networks, covering several essential neural networks concepts.
Original Post: Neural Networks, Step 1: Where to Begin with Neural Nets & Deep Learning
[unable to retrieve full-text content]A new open source Apache Hadoop ecosystem project, Apache Kudu completes Hadoop’s storage layer to enable fast analytics on fast data.
Original Post: Updates & Upserts in Hadoop Ecosystem with Apache Kudu
[unable to retrieve full-text content]At TwentyBN, we have created the world’s first AI technology that shows an awareness of its environment and of the actions occurring within it. Our system observes the world through live video and automatically interprets the unfolding visual scene.
Original Post: Hello, World: Building an AI that understands the world through video
[unable to retrieve full-text content]DBSCAN clustering can identify outliers, observations which won’t belong to any cluster. Since DBSCAN clustering identifies the number of clusters as well, it is very useful with unsupervised learning of the data when we don’t know how many clusters could be there in the data.
Original Post: Density Based Spatial Clustering of Applications with Noise (DBSCAN)
[unable to retrieve full-text content]In neural networks, connection weights are adjusted in order to help reconcile the differences between the actual and predicted outcomes for subsequent forward passes. But how, exactly, do these weights get adjusted?
Original Post: Neural Network Foundations, Explained: Updating Weights with Gradient Descent & Backpropagation
[unable to retrieve full-text content]This post is about how we use Monte Carlo simulations to balance supply and demand in a rapidly growing, high-variance marketplace.
Original Post: No order left behind; no shopper left idle.
[unable to retrieve full-text content]A complete video guide to Machine Learning in R! This great compilation of tutorials and lectures is an amazing recipe to start developing your own Machine Learning projects.
Original Post: Top 10 Machine Learning with R Videos
[unable to retrieve full-text content]This article will take you through all steps required to build a simple feed-forward neural network in TensorFlow by explaining each step in details.
Original Post: TensorFlow: Building Feed-Forward Neural Networks Step-by-Step
[unable to retrieve full-text content]A beginner’s introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.
Original Post: Top 10 Machine Learning Algorithms for Beginners