Machine Learning for Data Science and Analytics
- Provider edX
- Cost Free Online Course (Audit)
- Session Self Paced
- Language English
- Certificate $99 Certificate Available
- Effort 7-10 hours a week
- Duration 5 weeks long
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Overview
Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.
This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.
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Reviews for edX's Machine Learning for Data Science and Analytics Based on 15 reviews
- 5 stars 33%
- 4 star 7%
- 3 stars 13%
- 2 stars 27%
- 1 stars 20%
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Write a review- 1
this review helpful
1) The series is basically an informal presentation of topics in statistics and machine learning. THEY DON'T ACTUALLY TEACH, but rather send you a links of a whole lot of articles and papers.
2) The questions are badly worded and sometimes incorrect, where the staff has to create extra credit for their mistakes.
3) Most of the presentations are really really uninspiring. They just don't have great communication skills. No slides are available so if you want to answer a question you have to go …
this review helpful
It is about algorithms, which is nice, they'll familiarise you (by their lectures) with all the most common types of algorithms.
Now, the next question is, do you get to implement the algorithms? THE ANSWER IS NO. You don't have any programming assignments to do. All they give you are pseudo codes.
Now you may ask, what does algorithms have to do with Machine Learning? Well, the link , as presented by this course, is not really clear. Honestly, if you rename this course into 'Introduction to THEORETICAL algorithm'…
this review helpful
this review helpful
this review helpful
Unless you have plenty of time and money to burn - no recommended at all.
this review helpful
Quizz wording is confusing.
You only have one chance to get the answer right. after a mediocre explanation.
Sometimes answers are wrong.
Take it to learn but dont pay for it. Not worth it.
this review helpful
this review helpful
Week 1 consists general information and background on, and the future of, data science. Weeks 2 and 3 breeze through statistics, so you really have to have your elementary statistics down pat to be able to keep up. In addition, most of the lectures for Weeks 2 and 3 were given by a lecturer in respect of which English is not her first language, and I had some trouble following her.
Week 4 covers exploratory data analysis and visualizatio…
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