Applied Conformal Prediction
4.9 (19)
3 Weeks
·Cohort-based Course
Learn about, deep dive into and get hands-on experience with Conformal Prediction techniques for quantifying uncertainty in machine learning
Applied Conformal Prediction
4.9 (19)
3 Weeks
·Cohort-based Course
Learn about, deep dive into and get hands-on experience with Conformal Prediction techniques for quantifying uncertainty in machine learning
Previously at
Course overview
What you will learn
Joining the 'Applied Conformal Prediction' course will propel students beyond mere comprehension of machine learning concepts to mastery in applying Conformal Prediction techniques. This transition empowers students to elevate the reliability and interpretability of their machine learning models, thereby enhancing the trustworthiness and effectiveness of their AI solutions in real-world, industry-specific scenarios.
Engage in collaborative learning within a supportive cohort of fellow students. Through sharing feedback, exchanging ideas, and fostering lasting connections, participants will benefit from a dynamic and enriching educational experience.
Who is this course for
01
Intermediate-level machine learning practitioners seeking to broaden their skill set with advanced techniques in uncertainty quantification.
02
Data scientists and analysts in industries where precision and reliability of predictions are crucial, such as finance, healthcare etc.
03
Machine learning engineers looking to implement more transparent and trustworthy models in their applications.
What you’ll get out of this course
Master Conformal Prediction, a very popular and fast-growing machine learning framework for uncertainty quantification
By the end of the course, students will be able to comprehend the principles of Conformal Prediction and its significance in fostering the development of reliable AI systems.
Apply Conformal Prediction to maximize the effectiveness of your solutions
Discover how to enhance your machine learning models with Conformal Prediction. You'll learn to apply this technique for more reliable and interpretable predictions, equipping you with the skills to improve decision-making and solution effectiveness across various industries.
Learn about, differentiate between and apply various Conformal Prediction frameworks.
Navigate the landscape of Conformal Prediction frameworks in our focused course. Gain the ability to distinguish between, understand, and effectively apply different Conformal Prediction methods to elevate the precision and trustworthiness of your machine learning models.
This course includes
8 interactive live sessions
Lifetime access to course materials
8 in-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Applied Conformal Prediction
Course syllabus
Week 1
Feb
19
Optional: Applied Conformal Prediction | Office Hours #1
Feb
17
Applied Conformal Prediction | Lesson 1
Feb
19
Applied Conformal Prediction | Lesson 2
Applied Conformal Prediction | Lesson 1
Applied Conformal Prediction | Lesson 2
Applied Conformal Prediction | Office Hours #1
Week 2
Feb
28
Special guest talk
Feb
26
Optional: Applied Conformal Prediction | Office Hours #2
Feb
26
Applied Conformal Prediction | Lesson 4
Feb
24
Applied Conformal Prediction | Lesson 3
Applied Conformal Prediction | Lesson 3
Applied Conformal Prediction | Lesson 4
Applied Conformal Prediction | Office Hours #2
Special guests talk
Week 3
Mar
3
Applied Conformal Prediction | Lesson 5
Applied Conformal Prediction | Lesson 5
4.9 (19 ratings)
What students are saying
Meet your instructor
Valeriy Manokhin
PhD, MBA, CQF
Valeriy Manokhin is a recognized expert in machine learning, with a special focus on conformal prediction.
His academic journey led him to earn a PhD under the mentorship of Professor Vladimir Vovk, a pioneer of conformal prediction. Valeriy is the force behind "Awesome Conformal Prediction", the go-to GitHub resource with over 3,300 stars, and his research has been published in leading machine learning journals, accumulating over 220 citations.
Beyond academia, Valeriy stands out as a Data Science leader and innovator, having delivered significant value to multinational corporations and consultancy clients. His unique blend of business acumen and technological expertise, supported by a PhD in Machine Learning and advanced STEM education, has driven multimillion-dollar savings and operational transformations.
An author and a scholar, Valeriy's contributions extend to being an invited reviewer for prestigious machine learning publications and conferences. His book, "Practical Guide to Applied Conformal Prediction," is a vital tool for professionals aiming to harness Conformal Prediction in their applications.
With a deep commitment to advancing the field, Valeriy curates the most comprehensive open-source repository on Conformal Prediction "Awesome Conformal Prediction".
His work is a testament to his dedication to enhancing uncertainty quantification methods in the industry.
Join an upcoming cohort
Applied Conformal Prediction
Cohort 5
$795
Dates
Application Deadline
Course schedule
4-6 hours per week
Monday & Wednesday
17:00pm - 19:00pm BST
Weekly projects
2 hours per week
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
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Join an upcoming cohort
Applied Conformal Prediction
Cohort 5
$795
Dates
Application Deadline