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Central Limit Theorem
Learn Cental Limit Theorem to ace Statistics and Machine Learning concepts.
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About this course
The central limit theorem is an often applied but misunderstood vertical from statistics and machine learning domains of computer science. The theorem, although it may seem esoteric to beginners, has important implications on how and why machine learning skills and models make inferences, like if one model is statistically performing better than the others and sure intervals on model skills. In this free Central Limit Theorem course, you will discover the concepts of the central limit theorem in detail and the implications of this vital pillar of statistics and probability on applied machine learning.
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Course Outline
This section defines the hypothesis and discusses the null and alternative hypotheses and their application in Machine Learning and Business Intelligence.
In this module, you will be learning the concept of the Central Limit Theorem and understanding the importance of this concept in the field of statistics.
In this module, you will be learning the application of the Central Limit Theorem on Jupyter Notebook using the numpy and pandas libraries.
In this module, you will be learning about Type-I and Type-II errors and how these errors are created in the hypothesis.
In this module, you will be learning different types of hypotheses based on the number of samples or whether it's a single-tailed test or a two-tailed test.
In this module, you will be practicing the formulation of hypotheses by using case studies and examples.
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Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is the central limit theorem, and why is it important?
In most circumstances, the Central Limit Theorem allows us to confidently assume that the sampling distribution of the mean will be normal. Statistical techniques can be used based on the assumption of a normal distribution.
How do you use the Central Limit Theorem?
The central limit theorem asserts that if you collect sufficient enough random samples with replacement from a population with a mean and standard deviation, the distribution of the sample means will be nearly normally distributed.
How do you prove the central limit theorem?
The MGF of our sampling estimator S* converges pointwise to the MGF of a standard normal RV Z, which will be used to prove the CLT. As a result, we have demonstrated that S* converges in distribution to Z, which is the CLT, and our argument is complete.
Is there any free course to learn the central limit theorem?
Yes. Enroll in Great Learning Academy’s Central Limit Theorem designed for beginners to learn the subject for free. You can always learn more with https://www.mygreatlearning.com
Will I get a certificate after completing this Central Limit Theorem free course?
Yes, you will get a certificate of completion for the Central Limit Theorem after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
How much does this Central Limit Theorem course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Central Limit Theorem can get started with this course.
Will I get a certificate after completing this Central Limit Theorem free course?
Yes, you will get a certificate of completion for Central Limit Theorem after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
Is there any limit on how many times I can take this free course?
Once you enroll in the Central Limit Theorem course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
Why choose Great Learning Academy for this free Central Limit Theorem course?
Great Learning Academy provides this Central Limit Theorem course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.
What are the steps to enroll in this Central Limit Theorem course?
Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
Will I have lifetime access to this free Central Limit Theorem course?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
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