Although many advanced machine learning techniques are difficult to use and require extensive understanding of advanced mathematics, statistics, and software engineering, beginners can get a lot done with the fundamentals, which are freely available.
However, Machine Learning is not for everyone, and it is not required knowledge for everyone. Just keep doing what you're doing if you're a successful Software Engineer who enjoys what you're doing. Some fundamental Machine Learning tutorials will not help you advance in your job.
Yes, if you want to work in artificial intelligence or machine learning, you'll need to know how to code.
Before starting a project, every machine learning engineer should think about scalability. Java makes it easy for machine learning engineers to scale their systems, making it an excellent choice for building large, sophisticated machine learning applications from the ground up.
In general, learning the fundamentals of Python takes two to six months. However, in just a few minutes, you can learn enough to write your first short programme. It can take months or years to grasp Python's huge collection of libraries.
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Reviews
R
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
J
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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