Machine learning is a branch of artificial intelligence that is defined as a machine's ability to mimic intelligent human behaviour. Artificial intelligence systems are utilised to complete complex jobs in a similar manner to how humans solve problems.
Machine learning can be divided into three categories: supervised learning, unsupervised learning, and reinforcement learning.
In such cases, machine learning assists in estimating the places where congestion can be found based on daily encounters. Transportation Networks on the Internet: The app predicts the cost of a cab ride when you book one. How do they reduce detours when sharing these services? Machine learning is the answer.
Quantum computing allows for the execution of multiple multi-state operations at the same time, resulting in speedier data processing. In 2019, Google's quantum processor completed a task in 200 seconds that would have taken 10,000 years for the world's finest supercomputer.
Simply defined, machine learning allows a user to submit massive amounts of data to a computer algorithm, which then analyses and makes data-driven suggestions and decisions based only on the supplied data.
Learner's Ratings
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Reviews
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Muhammad Qasim
5
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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Shafi Akhtar
5
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Aniket Kumar prasad
5
Very helpful and easy to understand all the concepts, best teacher for learning ML.
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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.
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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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