Structuring Machine Learning Projects

Instructor: Andrew Ng , Younes Bensouda Mourri , Kian Katanforoosh

Beginner Level • Approx. 6 hours • Flexible Schedule

Skills You'll Gain

Performance Tuning
Keras (Neural Network Library)
Deep Learning
Data Quality
Debugging
Artificial Intelligence
PyTorch (Machine Learning Library)
Applied Machine Learning
Tensorflow
Machine Learning

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

                    
                                Learn new concepts from industry experts
                            
                                Gain a foundational understanding of a subject or tool
                            
                                Develop job-relevant skills with hands-on projects
                            
                                Earn a shareable career certificate

There are 2 modules in this course

Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities.

Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning.