Structuring Machine Learning Projects
Master advanced machine learning project leadership skills through comprehensive error diagnosis and optimization strategies with Andrew Ng.
Master advanced machine learning project leadership skills through comprehensive error diagnosis and optimization strategies with Andrew Ng.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Deep Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(49,860 ratings)
4,74,530 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 4 more
Powered by
What you'll learn
Learn to diagnose errors in ML systems and prioritize reduction strategies
Master the handling of mismatched training and test sets
Develop skills in end-to-end learning implementation
Understand and apply transfer learning and multi-task learning
Gain practical experience in ML project leadership
Skills you'll gain
This course includes:
3.8 Hours PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 2 modules in this course
This course teaches you how to build and manage successful machine learning projects. Led by Andrew Ng, it covers crucial aspects like error diagnosis, optimization strategies, and advanced ML concepts including transfer learning and multi-task learning. The curriculum focuses on practical decision-making skills for ML project leaders, drawing from real-world industry experience. Students learn to diagnose errors, prioritize improvement strategies, and handle complex ML scenarios including mismatched training/test sets and human-level performance benchmarking.
ML Strategy
Module 1 · 2 Hours to complete
ML Strategy
Module 2 · 3 Hours to complete
Fee Structure
Instructors
Pioneer in AI and Online Education
Andrew Ng is the Founder of DeepLearning.AI, a General Partner at AI Fund, and the Chairman and Co-Founder of Coursera, where he also serves as an Adjunct Professor at Stanford University. Renowned for his groundbreaking contributions to machine learning and online education, Dr. Ng has transformed countless lives through his work in AI, having authored or co-authored over 100 research papers in machine learning, robotics, and related fields. His notable past roles include serving as chief scientist at Baidu and leading the founding team of Google Brain. Currently, Dr. Ng focuses on his entrepreneurial ventures, seeking innovative ways to promote responsible AI practices across the global economy.
Stanford AI Educator Pioneers Global Learning Through Course Innovation and EdTech Leadership
Younes Bensouda Mourri is a distinguished AI educator and entrepreneur who has significantly impacted global tech education. Born and raised in Morocco, he earned his B.S. in Applied Mathematics and Computer Science and M.S. in Statistics from Stanford University, where he now teaches Artificial Intelligence both on campus and online. As the founder of LiveTech.AI, he develops AI tools to transform academic institutions, while his courses have reached over 1.3 million learners worldwide, with 23% securing AI-related jobs after completion. His contributions include co-creating Stanford's Applied Machine Learning, Deep Learning, and Teaching AI courses, as well as developing the highly successful Natural Language Processing Specialization for DeepLearning.AI. Starting as a teaching assistant in Andrew Ng's Machine Learning course, he rose to become an Adjunct Lecturer at Stanford by age 22, demonstrating his commitment to democratizing AI education. Through his work with major companies like ASML, CISCO, and Boston Consulting Group, he continues to advance AI education while focusing on developing innovative NLP tools for personalized feedback and chain-of-thought reasoning
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.8 course rating
49,860 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.