Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a ...
By Ajit Jaokar and Cheuk Ting Ho. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. Introduction Enterprise AI: An ...
In this latest Data Science Central webinar, we will cover the principles for training your neural network including activation and loss functions, batch sizes, data norm...
Recommendations and Feedbacks The vast majority of B2C services are quickly discovering the strategic importance of solid recommendation engines to improve the conversion...
Cognitive Computing is often used interchangeably with artificial intelligence, not that it’s entirely incorrect. MIT Sloan School of Business, for instance, defines th...
Summary: A defensible data strategy increasingly defines those AI businesses that will be successful. VCs know this and are steering the funding to this strategy. R...
Describing and picturing MLAlgos and Machine Learning is the main idea of this post. I will attempt to answer few basic questions as well. Though these questions have bee...
In earlier days, solutions were associated with getting the technology right. The key was technology, the solution was technology and the business expected and paid for t...
What are the Learning Rules in Neural Network? Learning rule or Learning process is a method or a mathematical logic. It improves the Artificial Neural Network’s�...
Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platfo...