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January 2020 | Volume 2, Issue 1 | Subscribe Spotlight An Epidemic of ML Misinformation ...
Today is an exciting day for me. After months of hard work, IBM, the University of Pennsylvania, and the Linux Foundation are announcing an ...
Introduction Today, we will be using a very fascinating R library which is extensively used for automating algorithms and repeated testing ...
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Neeraj Jangid is a budding data scientist who is currently enrolled in a masters in engineering management program at Southern Methodist University. After being introduced to data science at school, he decided to start blogging and sharing his knowledge and enthusiasm with other prospective data scientists. We spoke with him to learn about his passion for data science and his career ambitions....Read more
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To continue our mission of putting AI to work for business, IBM has been making strides toward increasing prediction accuracy, automating tasks and optimizing outcomes in recent years. Now, more than ever, driving value from AI investments such as improving customer experience, mitigating risks and compliance, and streamlining operation, has become more readily accessible for any enterprise. After incorporating the extensive feedback from our clients and bringing some of the new innovations across IBM, we are pleased to announce the general availability of IBM® Watson™ Studio and IBM Watson Machine Learning (WML) 2.0.
Watson Studio offers a variety of modeling methods taken from machine learning, artificial intelligence, and statistics. The methods available on the nodes palette allow you to derive new information from your data and to develop predictive models. Each method has certain strengths and is best suited for particular types of problems.