A Comprehensive Guide to Stochastic Gradient Descent Algorithms
This article was written by Giuseppe Bonaccorso. Stochastic Gradient Descent (SGD) is a very powerful technique, currently employed to optimize all deep learning model...
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Creating a slicer that filters multiple columns in Power BI
Power BI provides slicers for a single column, but there are scenarios where it could be useful to consolidate alternative filters for multiple columns in a single slicer...
Using a Bathroom Faucet to Teach Neural Network Basic Concepts
They say that the best ideas sometimes come to you while you are in the shower, and this idea of how to explain two important Neural Network concepts – Backpropagation ...
Discover How IoT Escalates Vehicle Fleet Safety.
With intense urbanization, the transportation industry works round the clock to suffice the demands of their projects. Carrying goods from one part of the city to the oth...
TensorFlow 1.x vs 2.x. – summary of changes
Overview of changes TensorFlow 1.0 vs TensorFlow 2.0 Earlier this year, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0. The key diff...
Bayesian Machine Learning
Bayesian Machine Learning (part -6) Probabilistic Clustering – Gaussian Mixture Model Continuing our discussion on probabilistically clustering of our data, where we le...
Using Machine Learning to Solve Business Problems
This article was written by Soft Media Lab. It has the following sections. Contents What is Machine Learning? How to apply machine learning to business? Kinds of data you...
Artificial Neural Networks in a Nutshell
According to Wikipedia, an ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each...
How to Create a Chatbot to Fit Your Needs and Budget
Chatbots are a hot topic. Conversational commerce and Artificial Intelligence are at the peak; if you haven’t already experimented with chatbots for your customer servi...
Designing Apparel with Neural Style Transfer
One of the things that excite the most about the predictive analytics of today is how quickly and bluntly it surpasses the existing benchmarks. Moreover, it penetrates th...