As a business owner, you are constantly working to ensure that your company has the cash it needs to operate.…
The machine learning for accounts payable market is expected to grow from $6.1 million in 2016 to $76.8 million by…
This post represents a comprehensive list of 85+ free books/ebooks and courses on machine learning, deep learning, data science, optimization,…
Tensors are a hot topic in the world of data science and machine learning. But what are tensors, and why…
Supplier relationship management (SRM) is the process of managing supplier relationships to develop and maintain a strategic procurement partnership. SRM…
In this post, you will learn about different artificial intelligence (AI) use cases of Telemedicine / Telehealth including some of…
If you're a data scientist, data analyst or a Python programmer, data visualization is key part of your job. And…
Weight decay is a popular technique in machine learning that helps to improve the accuracy of predictions. In this post,…
In this post, you will learn about the concepts of what is Softmax regression/function with Python code examples and why…
What is information theory? How is information theory related to machine learning? These are some of the questions that we…
In this post, you will learn about the concepts of Tensor Broadcasting with the help of Python Numpy examples. Recall that Tensor is…
In machine learning, regularization is a technique used to avoid overfitting. This occurs when a model learns the training data…
In this post, you will learn about how to train an SVM Classifier using Scikit Learn or SKLearn implementation with the help of code…
In this post, you will learn the concepts of Stochastic Gradient Descent (SGD) using a Python example. Stochastic gradient descent is…
In linear regression, dummy variables are used to represent the categorical variables in the model. There are a few different…
In relation to machine learning, linear regression is defined as a predictive modeling technique that allows us to build a…