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How are cloud computing, ai, machine learning, and machine learning changing the lab?


Asked by Giavanna Zuniga on Dec 07, 2021 Mini Program Cloud Development Study Guide



Cloud computing, AI, and machine learning have now made it far easier to access, share and analyze data. When it comes to laboratory evolution, great strides have been made over the past decade, and further technological advancements are sure to bring us even closer to a fully automated ‘intelligent lab of the future’.
In respect to this,
The cloud makes intelligent capabilities accessible without requiring advanced skills in artificial intelligence or data science. AWS, Microsoft Azure, and Google Cloud Platform offer many machine learning options that don’t require deep knowledge of AI, machine learning theory, or a team of data scientists.
Keeping this in consideration, Machine learning (ML) is an AI that allows a machine to learn from data rather than specific programming. Machine learning, however, is not easy. Machine learning uses a variety of algorithms to develop, explain data, and predict outcomes incrementally from data.
Also Know,
Advanced Machine Learning with TensorFlow on Google Cloud Platform This advanced course teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text, and ends with building recommendation systems.
Likewise,
Artificial intelligence tools are being used to deliver more value on existing cloud computing platforms. SaaS (software-as-a-service) providers are adding AI tools into larger software suites to provide greater functionality to end-users.