How do you research on machine learning?

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How do you research on machine learning?

There are 5 different sources that you can use in your research of a machine learning algorithm, we will review each in turn.

  1. Authoritative Sources. Authoritative sources provide expert interpretations and descriptions of algorithms.
  2. Seminal Sources.
  3. Leading Edge Sources.
  4. Usage Heuristics Sources.
  5. Implementation Sources.

How do I identify a use case in Illustrator?

Step 1 – Identify AI Use Cases

  1. Support Strategic Business Goals. There are many different and exciting things that AI can do, and it is easy to get distracted.
  2. Specify the Approach.
  3. Define KPI’s.
  4. Decide Your Top Priorities.
  5. Consider Quick Wins.

What is ML use case?

Use case is a description/ an opportunity of how AI/ML may be applied to solve a particular problem.

How do I publish my machine learning paper?

First you need to have clear literature survey on machine learning, issues and application of it in one particular field. Then you need to contribute something towards that. Draft everything in a word document. The end product is research paper, which can be published based upon the quality of research and writing.

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How many research papers related to machine learning are published each year?

Every year, 1000s of research papers related to Machine Learning are published in popular publications like NeurIPS, ICML, ICLR, ACL, and MLDS. The criteria are using citation counts from three academic sources: scholar.google.com; academic.microsoft.com; and semanticscholar.org.

Is machine learning a good career option for a researcher?

As a Machine Learning and artificial intelligence enthusiasts, you can gain a lot when it comes to the latest techniques developed in research. Thus, as a researcher, Machine Learning looks promising as a career option. You may go for a course in MOOC or take up online courses like the John Hopkins Data Science specialization.

Is machine learning the most critical domain of Computer Science?

Curated from hundreds of high-quality ML research papers, these are the ones that stood out the most. Machine Learning suddenly became one of the most critical domains of Computer Science and just about anything related to Artificial Intelligence.

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When will machine learning enter mainstream adoption?

According to recent research by Gartner, “Smart machines will enter mainstream adoption by 2021.” Adopting Machine Learning help your organization gain a major competitive edge. Why is Machine Learning so Hot Today?

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