Machine Learning - Introduction
Because huge computing resources are readily accessible to the common man, Artificial Intelligence (AI) has far outdone the hype of blockchain and quantum computing. Now that the developers have access to such resources, they can create new Machine Learning models and retrain existing ones for better results and performance. A sudden increase in demand for IT professionals with Machine Learning skills has been caused by the availability of High Performance Computing (HPC).
The purpose of this tutorial is to provide you with a detailed explanation of −
What is the crux of machine learning?
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Machine learning has different types. What are they?
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Machine learning algorithms: what are they?
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In order to develop these models, what tools are available?
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How do I choose a programming language?
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How can Machine Learning applications be developed and deployed?
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Are there any IDEs (Integrated Development Environments) available?
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What are the best ways to quickly upgrade your skills in this important area?