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This course teaches you how more quickly and efficiently the machine learning system works and on machine learning strategy and motivate yourself with collecting more data, training set and algorithm.
This is a very sensitive course which needs to be approached with caution because one poor choice may lead you to a wrong direction. So it is very important for you to emphasize on which data should be collected and which ones should be discarded.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Deep Learning AI
Course Curriculum
Module 01 | |||
Neural Networks – Why ML Strategy | 00:03:00 | ||
Neural Networks – Orthogonalization | 00:11:00 | ||
Neural Networks – Single number evaluation metric | 00:07:00 | ||
Neural Networks – Satisficing and Optimizing metric | 00:06:00 | ||
Neural Networks – Traindevtest distributions | 00:07:00 | ||
Neural Networks – Size of the dev and test sets | 00:06:00 | ||
Neural Networks – When to change devtest sets and metrics | 00:11:00 | ||
Module 02 | |||
Neural Networks – Why human level performance | 00:06:00 | ||
Neural Networks – Avoidable bias | 00:07:00 | ||
Neural Networks – Understanding human level performance | 00:11:00 | ||
Neural Networks – Surpassing human level performance | 00:06:00 | ||
Neural Networks – Improving your model performance | 00:06:00 | ||
Neural Networks – Andrej Karpathy interview | 00:15:00 | ||
Neural Networks – ML Strategy 2 | 00:11:00 | ||
Module 03 | |||
Neural Networks – Cleaning up incorrectly labeled data | 00:13:00 | ||
Neural Networks – Build your first system quickly, then iterate | 00:06:00 | ||
Neural Networks – Training and testing on different distributions | 00:11:00 | ||
Neural Networks – Bias and Variance with mismatched data distributions | 00:18:00 | ||
Neural Networks – Bias and Variance with mismatched data distributions | 00:18:00 | ||
Neural Networks – Transfer learning | 00:11:00 | ||
Neural Networks – Multi task learning | 00:13:00 | ||
Neural Networks – Multi task learning | 00:13:00 | ||
Neural Networks – Whether to use end to end deep learning | 00:10:00 | ||
Neural Networks – Ruslan Salakhutdinov interview | 00:17:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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