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Stochastic Gradient Descent

star 4.37  Beginner level 3.0 learning hrs 1.4K+ Learners

Instructor:

Shambhavi Gupta

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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

rating icon 4.37

3.0 Hours

Beginner

1.4K+ learners enrolled so far

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Learner reviews of the Free Courses

4.37
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Reviewer Profile

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).
Reviewer Profile

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

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Shambhavi Gupta

Content Creator

Machine Learning Expert

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108.2K+ Learners
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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.

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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.
 

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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?

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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.

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Will I have lifetime access to this free Stochastic Gradient Descent course?

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