What is the connection between Machine learning and Cloud computing? Machine learning systems were too costly and too complex for most enterprises in the past. The cloud is changing all that. The trend today is machine learning, which is a form of artificial intelligence that uses algorithms to learn from data.
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Machine Learning is the rave of the moment. Tons of companies are going all out to hire competent engineers, as ML is gradually becoming the brain behind business intelligence. Through it, businesses are able to master consumers’ preferences thereby increasing profits. On the other hand every company is moving over to cloud for storage, servers, computing etc therefore ML models dealing with huge data has a lot to do with cloud services. So if you want to learn how machine learning is performed through cloud services this course is for you.
Why is machine learning used in cloud services
Many open-source and proprietary machine-learning systems support the types of predictions described above, and they've been around for years. However, the cost of these systems, in terms of hardware and software, was until recently out of reach for most enterprises. Moreover, even if a business could afford it, it typically did not have the machine-learning talent required to design the prediction models or deal with the data science required.
Is cloud computing knowledge required for Machine Learning practitioners
As machine learning deals with large amounts of data in real time applications there is a need to handle big data and with rising deep learning models one should be aware of using sophisticated computing tools which requires basic knowledge of cloud services.
What are prerequisites to master ML and Cloud services
To master machine learning, one should be aware of the basics of linear algebra, calculus and statistics. Knowledge of python programming is preferrable. To learn cloud services basic knowledge of operating systems specifically linux and software programming concepts are needed.