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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.


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.


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
Submit Your Assignment 00:00:00
Certification 00:00:00

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