guided learning, unsupervised learning, and reinforcement learning are the three main paradigms in machine learning.
supervised learning, unsupervised learning, and semi-supervised learning are the three main machine learning paradigms used by today's engineers. The first, supervised learning, uses data that has been labelled.
The Learning Paradigm (as opposed to the Instruction Paradigm) emphasises students' active participation in learning as well as the purpose of that learning, both of which can be powerful motivators for students. The issue for educators is to give students some control over their learning.
The scientific method, for example, is a paradigm in and of itself (though which "science" views the world: a traditional Western, empirical, quantitative approach to studying things). The theory of evolution is another example of a paradigm.
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Muhammad Qasim
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Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world.
Extremely helpful and I recommend to my peer as well for this course.
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Aniket Kumar prasad
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Very helpful and easy to understand all the concepts, best teacher for learning ML.
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Rishu Shrivastav
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explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
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very nicely explained
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Vrushali Kandesar
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Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
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Mohd Mushraf
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Amazing Teaching
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Juboraj Juboraj
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Easy to understand & explain details.
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Joydeb
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Awesome Course sir and your teaching style is very GOOD.
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Shaga Chandrakanth Goud
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Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
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