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Showing posts from February, 2019

The Future of Machine Learning Engineer

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A good topic, It is always good to know about the future of the domain you work in or you interested to enter into. Google says ” Machine Learning is the future ”, so future of machine learning is going to be very bright. As humans become more addicted to machines, we’re witness to a new revolution that’s taking over the world and that is going to be the future of Machine Learning. I would say it is a good choice to select Machine Learning Course to enhance yourself.! Since, Machine learning has been the hot career areas in IT and development organizations and focuses on the development of computer programs that allow the computers learn automatically without human intervention. Machine learning is expanding fast and with its smart algorithms applied everywhere, it has turned into a new in-demand career option with high opportunities for qualified ML professionals. Where it use? Few machine learning application using in modern world given below that we use in our

Google using Machine Learning to filter spam on Gmail

Most recently, Google added  Machine Learning to its robust spam filters in Gmail. According to the Mountain View-based company, the new protections catch and an additional 100 million spam messages every day. TensorFlow , the tool will help filter additional spam for Gmail users. The company started using the new filters last month and claims that it has managed to block extra 100 million spam messages every day with its help. TensorFlow was originally developed for Google’s internal use. The company had released Machine Learning Framework three years ago under the Apache 2.0 license. The company claims that since then, developers from around the world have produced 71,000 forks of public code and other open source contributions. As The Verge has stated, the company says that adding TensorFlow to Gmail will enable it to better personalize spam filters. This whole process is going on for years, where Gmail searches for certain signals from users, on the basis of which it