Useful tips for everyday
How do you visualize training in PyTorch? However, we can do much better than that: PyTorch integrates with TensorBoard, a tool designed for visualizing the…
How do you evaluate a competitive strategy? 5 steps to conduct your own low-cost competitor analysis Identify your competitors. Gather information about your main competitors.…
Is machine learning inferential statistics? You can use inferential statistical methods to reason from small samples of data to whole domains. Statistics is generally considered…
How is Doc2Vec different from Word2Vec? Doc2Vec is another widely used technique that creates an embedding of a document irrespective to its length. While Word2Vec…
What is non convex constraint? A non-convex optimization problem is any problem where the objective or any of the constraints are non-convex, as pictured below.…
Which clustering algorithm is best for customer segmentation? Customer Segmentation with Clustering Algorithms in Python 1.K-Means Algorithm. K-Means is probably the most famous algorithm for…
Why do we use bidirectional? Using bidirectional will run your inputs in two ways, one from past to future and one from future to past…
Is error calculated in each layer of neural network? The error signal for a neuron in the hidden layer is calculated as the weighted error…
What is shape based object detection? We address the problem of object detection and segmentation using global holistic properties of ob-ject shape. Our shape representation,…
Why linear regression is not suitable for binary classification? Problem #1: Predicted value is continuous, not probabilistic In a binary classification problem, what we are…