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Name: Stochastic Gradient Descent
Rating: 4.37 (54 reviews)

Stochastic Gradient Descent

4.37 Beginner level 3.0 learning hrs 1.4K+ Learners

Instructor:

Shambhavi Gupta

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Skills you will gain

Objective of Gradient Descent

Gradient Descent Algorithm

Stochastic Gradient Descent

Stochastic Gradient Descent Working

Advantages and Disadvantages of Stochastic Gradient Descent

Key Highlights

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About this course

Stochastic is a process involving a randomly determined sequence of observations, each of which is considered as a sample of one element from a probability distribution or, in simple terms, Random selection. In this course, you will learn about Stochastic Gradient Decent, how it works, the difference between SGD and Gradient Descent, Mini Batches, and momentum in this process.

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Course outline

Introduction and Agenda of Stochastic Gradient Descent

Objective of Gradient Descent

Gradient Descent – The Algorithm

Types of Gradient Descent

Stochastic Gradient Descent

Is Stochastic Gradient Descent same as Gradient Descent?

Why is Stochastic Gradient Descent Needed ?

How Does Stochastic Gradient Descent Algorithm Works ?

Advantages of Stochastic Gradient Descent

Disadvantages of Stochastic Gradient Descent

Mini Batches in Gradient Descent

Momentum in Gradient Descent

Why Does Stochastic Gradient Descent Converge ?

Summary of Stochastic Gradient Descent

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Stochastic Gradient Descent

4.37

3.0 Hours

Beginner

1.4K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

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Learner reviews of the Free Courses

4.37

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67%

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20%

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Margi Parmar

4.0

★★★ ★ ☆

India

“Momentum is a Different Optimization Technique that Accelerates Gradient Descent”

Training datasets into smaller pieces is referred to as mini-batches. Mini-batch Gradient Descent splits the dataset into smaller batches and updates the model parameters for each batch. This combines the efficiency of Stochastic Gradient Descent (which updates frequently) with the stability of Batch Gradient Descent (which uses larger sample sizes).

Ruhum RUHUM

5.0

★★★★ ★

India

“Gradient Descent Minimizes a Cost Function by Iteratively Adjusting Parameters”

Gradient Descent is used to minimize a cost function by iteratively adjusting parameters in the direction that reduces the cost.

Our course instructor

Shambhavi Gupta

Content Creator

Machine Learning Expert

107.8K+ Learners

17 Courses

I have been working in the field of python and data science for the last 1.5 years and trained 60K+ students. I have expertise in topics related to data science like Python programming, Numpy, Pandas, Seaborn, Matplotlib, Plotly, Exploratory Data Analysis(EDA) Tableau and mathematical stuff like Probability and Statistics. I also have expertise in the python programming language where I have worked with numerous libraries for developing apps, developing games, working with GUI's, etc. I have been in the technical content side with respect to data science and python.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Will I get a certificate after completing this Stochastic Gradient Descent free course?

Yes, you will get a certificate of completion for Stochastic Gradient Descent 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 Stochastic Gradient Descent course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Stochastic Gradient Descent can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Stochastic Gradient Descent 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 Stochastic Gradient Descent course?

Great Learning Academy provides this Stochastic Gradient Descent 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.

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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 Stochastic Gradient Descent 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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