Machine learning algorithms, choosing the correct algorithm for your problem - Joakim Lehn

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When I started out exploring machine learning I often faced the problem of choosing the most appropriate algorithm for my specific problem. In this presentation I will try to explain basic concepts and give you an intuititive approach to using different kinds of machine learning algorithms for different tasks. By the end of this presentation you’ll know what category of algorithms is most suited for your problem.

NDC Conferences
  1. NDC Conferences
  2. NDC
  3. NDC Oslo
  4. 2018
  5. Joakim Lehn
  6. AI
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Комментарии
Автор

Video Title is deceptive : It should be "choosing the correct CLASS / CATEGORY of algorithms for your problem". Even that would not be really descriptive, as it is merely a very quick tour of classes of ML algos. Choosing the right Algo for your problem would be deciding which algo fits your data, inside a category (which classification algo to choose btw Naive Bayesian and SVM for example)

Privacy-LOST
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Interesting to learn about the various categories of machine learning algorithms: Supervised, Unsupervised, Semi-supervised and Reinforced

debjyotidas
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Thank you
Can u share a clear image appeared at minute 1

khalidjaradat
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Fair catrgeroziation for ML algorithms

anasal-tirawi
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Sir reviewer of the manuscript asked me this question "Please compare your proposed machine learning model with other based method in term of time complexity? Calculate the time complexity of your algorithm", Can you please help me how to address this question?

rsinh
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Didn't answer the question, poor video.

tariqnahmad