Udacity launches new Intro to Machine Learning with TensorFlow Nanodegree program

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The new program offers practitioner level skills in new-generation Machine Learning through hands-on projects.

Developed by Google, TensorFlow is a deep learning framework that is widely used for creating ML models powered by multi-layer neural networks.

Silicon-valley based global lifelong learning platform Udacity recently announced the launch of its new Nanodegree program: Intro to Machine Learning with TensorFlow. The next-generation program in machine learning (ML) introduces learners to the fundamentals of Machine Learning in a way that is effective and engaging at the same time. The Nanodegree program incorporates advanced areas such as manipulating data, supervised & unsupervised learning, along with deep learning. 

Developed by Google, TensorFlow is a deep learning framework that is widely used for creating ML models powered by multi-layer neural networks. Its library offers users to perform various technologically-intensive functions by creating computational graphs.  

TensorFlow is utilized by several organizations to improve the quality of their businesses. Google, for instance, utilizes this technology in its Cloud product to allow startups to build machine learning models that work on data of any size.  Airbnb leverages this technology to improve the guest experience by driving large-scale classification and detection of images and objects. It also refines the actions that follow certain commands, with Twitter using TensorFlow to rank tweets. 

As the top skill behind most cutting-edge technologies available today, new-age organizations are employing AI and ML engineers and experts to enhance their operations and lead the R&D department. Through its Nanodegree programs, Udacity aims to upskill its students to enable them to assume such in-demand, high-growth job roles.

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