Machine learning is a field of artificial intelligence, which tries to understand and learn from data. It can be used for a number of different applications, including classification and recommendation systems, natural language processing (NLP), machine translation and image recognition.
Machine learning is a technique that is used to improve the quality of the results produced by artificial intelligence (AI). Machine learning methods are based on the natural process of data analysis and they are designed to identify patterns in data. They can be applied to a wide variety of problems and are very effective at identifying new trends in data.
Machine learning algorithms are divided into four categories: supervised, semi-supervised, unsupervised, and reinforcement.
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Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
5
very nicely explained
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Vrushali Kandesar
5
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
5
Amazing Teaching
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Juboraj Juboraj
5
Easy to understand & explain details.
J
Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
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Shaga Chandrakanth Goud
5
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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Neel Khairnar
5
Kushal is very good explainer he is covering all topics nicely 👍
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