This course is part of the Machine Learning for Supply Chains Specialization

Rajvir Dua +1 more instructor

Offered By

Machine Learning for Supply Chains SpecializationLearnQuest

About this Course

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In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the supply chain. We’ll start with an overview of the different ML paradigms (regression/classification) and where the latest models fit into these breakdowns. Then, we’ll dive deeper into some of the specific techniques and use cases such as using neural networks to predict product demand and random forests to classify products. An important part to using these models is understanding their assumptions and required preprocessing steps. We’ll end with a project incorporating advanced techniques with an image classification problem to find faulty products coming out of a machine.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 4 in the

Machine Learning for Supply Chains Specialization

Intermediate Level

It is reccomended that you finish the first two courses in the speciliation before trying this one.

Approx. 22 hours to complete

English

Skills you will gain

Natural Language Processing
Machine Learning
Bias–Variance Tradeoff
Supply Chain
Image Analysis

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 4 in the

Machine Learning for Supply Chains Specialization

Intermediate Level

It is reccomended that you finish the first two courses in the speciliation before trying this one.

Approx. 22 hours to complete

English

Instructors

Rajvir Dua

Head of Data Science, Machine Learning Solutions

7,910 Learners

8 Courses

Neelesh Tiruviluamala

Co-founder and CEO, Machine Learning Solutions

7,910 Learners

8 Courses

Offered by

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Machine Learning in the Supply Chain

2 hours to complete

4 videos (Total 11 min), 4 readings, 2 quizzes

14 hours to complete

A Classical AI Approach

In this module, we'll cover the concepts relating to the ML paradigm. We'll start by learning how to pick a model, relying on considerations such as managing the bias-variance tradeoff. Next, we'll explore how machine learning models converge, including the use of stochastic gradient descent to minimize loss functions. Finally, we'll end with some practical considerations on coding advanced AI models with libraries for hyperparamter tuning.

14 hours to complete

3 videos (Total 9 min), 4 readings, 2 quizzes

Week2

Week 2

3 hours to complete

Images and Text

3 hours to complete

5 videos (Total 19 min), 5 readings, 1 quiz

Week3

Week 3

4 hours to complete

Final Project: Detecting Anomalies with Image Classification

4 hours to complete

About the Machine Learning for Supply Chains Specialization

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Advanced AI Techniques for the Supply Chain

About this Course

Skills you will gain