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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Machine Learning is a highly demanded skill in the 21st Century. ML is the application of Artificial Intelligence that provides systems with the ability to learn and improve from experience, without any explicit programming and human intervention. It is the study of computer algorithms that automatically improve through experience. ML has now become an integral part of our lives, and data science and AI professionals are looking to upskill in this. In Coursera’s Machine Learning training course, you will learn the most effective ML techniques and gain experience in their practical applications with precision.

The Coursera Machine Learning programme teaches the extensive theories behind Machine Learning so that you can quickly learn to apply the techniques to new problems. Besides Machine learning, this course also provides an introduction to data-mining, artificial neural networks, logistic regression, and statistical pattern recognition.

This Machine Learning certification course is offered by Stanford University and is taught by one of the top educators of Stanford. It takes approximately 60 hours to complete this course. It has 18 modules rife with pre-recorded online lectures, readings and practice exercises for self-evaluation.

The Highlights

100% Online
Readings for every module
Self-Paced Education
Shareable Certificate by Coursera
Practice exercises
Flexible Deadlines
Subtitles available in French, Chinese (Simplified), Russian, English, Hebrew, Spanish, Hindi, Japanese
Financial Aid
Tangible Career Benefits

Programme Offerings

100% online course
Shareable Certificate
Pre-recorded Video Lectures
Exercises and Practice Tests
Flexible Deadlines
Self-paced learning

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

The Candidates can enrol in this course for free by opting for the “Enrol for Free” option. The course can be completed completely free of cost. However, certification will not be available for free.

Machine Learning Fees Structure

Course	Fees
1 Month	4,087
3 Months	2,725 Total ₹8,175
6 Months	2,044/ Total ₹12,263

Eligibility Criteria

Machine Learning training programme is a beginner level course. Candidates with a background in Data Science and an interest in Artificial Intelligence should go for this course.

Certification Qualifying Details

To get a certification in the Machine Learning certification by Coursera, candidates need to complete all the modules by going through the readings, watching the video lectures, and taking the practice exercises at the end of each module. Candidates need to purchase the certificate, and that certificate can be attached to their LinkedIn profiles, CVs, and resumes. The certificate purchase also gives you access to all the study material and graded assignments.

What you will learn

Machine learning

After completing the Machine Learning certification syllabus from Coursera, the candidates will gain substantial knowledge and skills in the following fields:

An introduction to Logistic regression, which is a method of classifying data into discrete outcomes
Knowledge about Neural Networks and its applications in Artificial Intelligence
Understanding the performance of a machine learning system with multiple parts and learning to deal with skewed data
Learning how to apply machine learning algorithms with large datasets.

Who it is for

This course is mainly targeted towards people interested in Data Science and Artificial Intelligence. It is a very good course for people already in the AI profession as well. Students, both graduate and undergraduate, can pursue this course, and who want to become ML engineers and Data Scientists.

Admission Details

Candidates who wish to enrol for these Machine Learning classes can do so for free by following the given steps:

Visit the website of Coursera via: https://www.coursera.org/
Search “ machine learning” course at the search bar.
Select the option named “join for free”, given on the top right corner.
Create an account on Coursera. If you are already registered, then simply log in to your account and enroll.

Application Details

Candidates do not need to fill out a separate application form for enrolling in this course. They can simply access the study material by signing in with Google or Facebook.

The Syllabus

Videos

Welcome to machine learning!
Applications of machine learning
What is machine learning?
Supervised learning part 1
Supervised learning part 2
Unsupervised learning part 1
Unsupervised learning part 2
Jupyter Notebooks
Linear regression model part 1
Linear regression model part 2
Cost function formula
Cost function intuition
Visualizing the cost function
Visualization examples
Gradient descent
Implementing gradient descent
Gradient descent intuition
Learning rate
Gradient descent for linear regression
Running gradient descent

Reading

[IMPORTANT] Have questions, issues or ideas? Join our Forum

Videos

Multiple features
Vectorization part 1
Vectorization part 2
Gradient descent for multiple linear regression
Feature scaling part 1
Feature scaling part 2
Checking gradient descent for convergence
Choosing the learning rate
Feature engineering
Polynomial regression

Quizzes

Practice quiz: Multiple linear regression
Practice quiz: Gradient descent in practice

Videos

Motivations
Logistic regression
Decision boundary
Cost function for logistic regression
Simplified Cost Function for Logistic Regression
Gradient Descent Implementation
The problem of overfitting
Addressing overfitting
Cost function with regularization
Regularized linear regression
Regularized logistic regression
Andrew Ng and Fei-Fei Li on Human-Centered AI

Readings

[IMPORTANT] Reminder about end of access to Lab Notebooks
Acknowledgments

Quizzes

Practice quiz: Classification with logistic regression
Practice quiz: Cost function for logistic regression
Practice quiz: Gradient descent for logistic regression
Practice quiz: The problem of overfitting

Instructors

Stanford Frequently Asked Questions (FAQ's)

1: What is the advantage of purchasing the certificate?

Upon purchasing the certificate, you can gain access to all the course materials, the exercises and graded assignments. After completion, an electronic certificate will be added to your accomplishments page, and it can be shared on your LinkedIn profile.

2: When should I start the Machine Learning online course?

This is a self-paced course with flexible deadlines. It is a basic course in Machine Learning, and you can access it anytime before you start a career in the same line.

3: Is financial aid available?

Yes, financial aid is available by Coursera to candidates who cannot afford to pay the course fee. To avail financial aid, click on the Financial Aid button below the Enrol button on the left. You will be redirected to an application, and you must complete and wait for notification within 15 days of the application.

4: When will I get access to the study material?

The study materials for this course are all free and can be accessed by signing in to your Coursera account via Google, Facebook or Email.

5: Why should I choose Coursera for this course?

Coursera’s Machine Learning course is completely online and comes with flexible deadlines and a self-paced learning system. Subtitles are available in a variety of languages, and it covers almost all important basic topics in Machine Learning.