Machine Learning course experience on Coursera

Of late I finished my Machine Learning course by Stanford University on Coursera. I figured it may be useful to share my experience quickly. I picked Machine Learning since I took a few courses around this point in college years back. Consequently, I previously had a few (nearly overlooked) information and needed to utilize my specialized foundation more once more.

Contents

The course itself is organized quite well. The whole substance is separated into eleven weeks, each with up to four sub-units. Among others, the course covers the accompanying subjects: 

upervised learning (e.g. linear regression, logistic regression, neural networks, SVM)
Unsupervised learning (e.g. K-means, PCA, anomaly detection)
Fancy topics (e.g. recommender systems, OCR, MapReduce)
Analysis & Evaluation (e.g. learning curves, error analysis, ceiling analysis)

The instructor Andrew NG presents the material in video instructional exercises. Exactly he clarifies the substance utilizing PowerPoint slides and imprint ups to compose a lot of extra data in the slides. There is no compelling reason to record anything, since all slides including the imprint ups are accessible for download.

Assessment

Toward the finish of most sub-units, there are short tests with five inquiries each. The inquiries extend from different decisions over single-decision to correct outcome computation. I found these tests the hardest piece of the course. Toward the finish of most weeks, there is a mind-boggling programming task, which must be executed in either MATLAB or Octave (open source). I didn't think the programming practices are convoluted. The test was to peruse the directions cautiously and approach just slowly and carefully.

Conclusion:

The course is very tedious. Completing it inside eleven weeks, as suggested by Coursera, requires devoting around balanced and a half-day to the course every week. Towards the end, the exertion turns out to be less. Except if you need to get the last declaration, the course is free. I can energetically prescribe Coursera as a learning stage and the course Machine Learning by Andrew NG specifically.