Ethics in machine learning are what comes to mind when we imagine a worst case scenario in the context of artificial intelligence. As an example, we can think of HAL 9000...
When talking to clients about their business goals, most business executives are pretty clear as to what they want to accomplish, such as reducing customer churn or reduc...
Introduction: Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever created a neural network architecture called ‘AlexNet’ and won Image Classification Challenge (ILSVR...
This article was written by Tanmoy Ray If you are a senior data scientist or pro in predictive analytics, you would probably be using both R & Python, and maybe other...
Depending on what news headline you have read, you may have perceived an Artificial Intelligence (AI) system as either an Alexa or Siri assistant that understands all you...
More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, caree...
Data science development is very different from software development, and getting the two to mesh is sometimes like trying to cobble together Tinker Toys with Lincoln Log...
Python Machine Learning – Second Edition by Sebastian Raschka & Vahid Mirjalili The first edition of this book, is a balance of classical ideas and modern insig...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Yann LeCun, Leon Bottou, Yosuha Bengio and Patrick Haffner proposed a neural network architecture for handwritten and machine-printed character recognition in 1990’s wh...