Artificial Intelligence (AI) has been a hot topic for many years now, with tech giants such as Google, Amazon, Microsoft, Apple, Baidu, Alibaba, and Tencent investing billions of dollars into the development of their respective AI platforms. These companies are not only using AI to streamline various processes within their …
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“The future is already here – it’s just not evenly distributed.” The Economist, December 4, 2003” William Gibson Tweet New artificial intelligence (AI) tools are making it easier than ever to leverage AI for business. There’s no need to spend months or even years training a computer how to do …
“Don’t waste time on AI for AI’s sake. Be motivated by what it will do for you, not by how sci-fi it sounds.” Cassie Kozyrkov, Chief Decision Scientist at Google Tweet Despite recognizing the importance of integrating AI capabilities to stay competitive, businesses do not know how to jumpstart their …
We listen to the possibilities AI (Artificial Intelligence) can bring to us each day. We are already using some of its applications, such as face recognition (face tag) in Facebook photos, Speech Recognition for various applications and Autonomous cars, to name a few. AI is in the beginning stage for some …
The World Wide Web is the system of linked websites that we use every day. It has become a crucial tool for browsing information, sharing ideas, and collaborating with people from all over the world. However, it’s not just about web pages anymore. The third generation of the internet will …
The buzz around Deep Learning often misleads layman people to think that it is a newly invented technology but it comes as a shock for them when they are told that foundations of Deep Learning were laid down as long back as the 1940-1950s. There is a long history of …
Data science projects are like any other software project which needs regular maintenance, enhancements, and improvements over a period of time after the first production deployment. But when it comes to putting ML models in productions, companies are already struggling big time, leave alone the regular maintenance. As per one …
Semi-supervised learning is a learning problem that involves a small number of labeled examples and a large number of unlabeled examples
The agile methodology provides data scientists the ability to prioritize models and data according to the goals and requirements of the project.
This is one of my favourite books that I was trying to finish for a long time. “Make Your Bed” by Admiral William H. McRaven is a collection of his inspiring journey and life lessons put in a very concise manner. This is the must-read title for all aspiring leaders. …