Significance Level vs Confidence level vs Confidence Interval
You may have figured out already that statistics isn’t exactly a science. Lots of terms are open to interpretation, and sometimes there are many words that mean the...
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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...
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...
5 Challenges of IoT Software Development You Might Encounter
Imagine you are sitting at your home and your entire house is connected to Google Home. You ask Google to dim the lights, turn on the tv, shut the windows, pull out your ...
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...