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AI bots are no longer the sole preserve of large corporations and scientists. AI bots are becoming available for businesses of all sizes. This article explains AI Bots, their applications, benefits and steps to prepare your business for AI Bot development.
When setting out to design and market a new product or system of any kind, our first inclination is likely to make the first release of that product or system the most functionally rich and complete that it can be. There is, however, a growing acceptance that...
This article provides an overview of Python and its application to Data Science and Machine Learning and why it is important.
This article provides an overview of the Python language, its core features and simple, accessible syntax.
This article explains the key considerations for Docker Containers-based application management, what business leaders should know, and the benefits that can be attained from Docker-based application and DevOps practices.
Machine Learning has garnered a significant share of recent press coverage in both tech and main street media. It is inextricably intertwined with, and central to, discussion and dialogue on topics ranging from big data in general to Facebook’s threat to privacy, Boston Dynamics creepy robotics, and Google’s exploitation of artificial intelligence for good and ill. As such, it is easy to view machine learning as either sinister or magical — neither of which is true. For today’s business leader, an objective and actionable understanding of machine learning is as important as an actionable understanding of finance and financial management.