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Abhishek Reddy
Abhishek Reddy is a web developer and an internet marketer. He owns Geeks Softtech Solutions which is a leading web development and marketing company.
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Abhishek Reddy 2019-05-01
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The following points clearly indicate the powerful impact of Machine Learning on web development: Good alternative to conventional data mining Removes security threats The stock of Machine Learning APIs Speedup Product Discovery Produce customized content and information Understand Customer Behavior Machine Learning uses some algorithms to make computers learn without being explicitly programmed. The list is given below: Machine Learning Frameworks 1) Microsoft Cognitive Toolkit Written in: Python and C++ This is an open-source, Deep Learning toolkit by Microsoft used for training algorithms to learn like a human brain. The flexible architecture of TensorFlow makes it easy for users to implement computations on one or more GPUs or CPUs with a single API, regardless of whether it is a desktop computer, a server or even a mobile phone. The nodes in the graph represent mathematical operations, while the edges of the graph represent the multidimensional data sets (tensors) communicated between them. Try it here: Tenserflow 3) Apache Mahout Written in: Java and Scala It is another most popular open source offering from Apache, which is mainly designed for statisticians, data scientists, and mathematicians so that they can quickly execute their own algorithms. Mahout focuses mainly on collaborative grouping, filtering, and classification.
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Abhishek Reddy 2019-05-01
img
The following points clearly indicate the powerful impact of Machine Learning on web development: Good alternative to conventional data mining Removes security threats The stock of Machine Learning APIs Speedup Product Discovery Produce customized content and information Understand Customer Behavior Machine Learning uses some algorithms to make computers learn without being explicitly programmed. The list is given below: Machine Learning Frameworks 1) Microsoft Cognitive Toolkit Written in: Python and C++ This is an open-source, Deep Learning toolkit by Microsoft used for training algorithms to learn like a human brain. The flexible architecture of TensorFlow makes it easy for users to implement computations on one or more GPUs or CPUs with a single API, regardless of whether it is a desktop computer, a server or even a mobile phone. The nodes in the graph represent mathematical operations, while the edges of the graph represent the multidimensional data sets (tensors) communicated between them. Try it here: Tenserflow 3) Apache Mahout Written in: Java and Scala It is another most popular open source offering from Apache, which is mainly designed for statisticians, data scientists, and mathematicians so that they can quickly execute their own algorithms. Mahout focuses mainly on collaborative grouping, filtering, and classification.