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Dmitry Kozhedubov profile image

Dmitry Kozhedubov

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  • 23 reviews
  • 15 completed
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Certain candidate for the MOOC Hall of Fame - one of the earliest and best courses. Great, highly theoretical, introductory course to key machine learning principles and algorithms. I agree with Henry Harya that it's best to redo the coursework in your language of choice, if fact, many students were organizing study groups to do just that. I think this course makes a great pairing with edX's The Analytics Edge to create a perfect balance of theory and practice - I suggest to take both if you're just starting in the field.
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Lately I've become really interested in how products are priced and decided to take this course to learn fundamentals. The course has certainly delivered - Smartly once again were able to pack a lot of knowledge in a very short amount of time needed to complete the course. I especially enjoyned lessons on conjoint analysis and how to measure a psychological value in dollars.
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I've completed Spring-Summer 2016 session of The Analytics Edge. I wanted to take this course for a very long time, so enrolled as soon as edX announced a new session. As an additional motivation to complete the course, I've purchased a verified certificate. The course didn't disappoint, providing plenty of insight into theory and especially applications of machine learning and analytics. I like to go back to course materials in my work, specifically when working on classification and linear optimization problems. I would recommend taking Coursera's Machine Learning if you'd like to learn more about underlying theory - these two courses make a great pairing. What could be better: while sufficient introduction to R is provided, more complex portions of code are not explained, so you'll spend significant time browsing R docs if you want more than just memorize commands or copy and paste. Also, most of the homework questions don't leave much room for imagination and are pretty straightforward.
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InVision is one of the best prototyping tools out there and it was very nice of them to put together this course that explains an anatomy of a modern marketing page that converts. Instructor, Dennis Field, goes through the entire process from creating a page design in Photoshop all the way to interactive prototype in InVision. Although the design created in the course is a little cliche to my taste, it's still a great introductory course on this topic.
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Although I'm not a big pour-over coffee fan, I found this course to be very useful and entertaining. First part focused on theory and parameters of brewing process. Second part is a live demo that goes into a lot of minor but important details that help you understand how to brew a great cup of coffee. As a result, after watching this course I'm thinking about getting myself a Chemex :)
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Although I didn't manage to complete it, I enjoyed the course. Matt McGarrity is an entertaining instructor and lectures were insightful and energetic. I'll probably enroll in the next session.
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This course is pretty lightweight, similar to other courses in the Culture-Driven Team Building specialization I've taken so far, but the combination of all those courses has immediately proved to be valuable to me in the workplace. Both instructors are engaging and communicate the material clearly via well produced videos. Nike diversity case study was particularly interesting. I definitely recommend this course to everyone who wants to learn more about conflicts and biases in teams and how to address those.
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This must be the first course I've taken where suggested external materials were probably more valuable that course materials itself. The reason for that must be that lectures are in the form of a dialogue, occasionally very excited and emotional, between the entire instructors' team of 4 - the result feels a bit watered down, if you will. If anything, this course has inspired me to look further into enabling structures of learning which I will try to do with my team at work.
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Taking this course as part of the Culture-Driven Team Building specialization by Penn, this is #2 out of 5. So far it's pretty well structured and executed. The only downside is that I like to watch videos at 1.25 speed and Derek Newberry talks a bit too fast for that :)
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Decided to take this course I'm waiting for The History of Music Production Techniques, the other one from Kadenze, to open later this year. I would prefer if a course like this existed 10 years ago when I was a (more or less) active musician, even if achieving required low latency would have been next to impossible. But, better learn this stuff late than never. Definitely join if you're interested in music collaboration online! Production-wise, a typical Kadenze course, high quality with attention to details that very few, if any, course providers are coming close.
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I had to drop due to a combination of illness and other commitments, but I thoroughly enjoyed the first half of this course I was able to complete. Prince Charles is by far the most entertaining instructor I've seen online and lectures were well structured and easy to grasp. I'm certainly enrolling again once the course re-opens.
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Initially I started the other course, Building High-Performing Teams, because realizing the The Power of Team Culture is actually the first course in Culture-Driven Team Building specialization by Penn. I figured I gotta take them in the right order :) The Power of Team Culture proved to be an excellent course about what teams and culture are and what forces are affecting culture in different ways. Greg Urban's style is very entertaining and he uses a lot of practical examples to illustrate the theory, so it's easy to stay focused and grasp the material. This is the first Coursera course that I've taken with a monthly subscription model, which is very similar to Udacity's nanodegrees. I intend to keep my costs low, so I'll try to complete Culture-Driven Team Building specialization in a month or less :)
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I'm only on Week 2 of this awesome course and mainly posting a review now to hopefully encourage others to join while there's plenty of time left in this session :) Week 1 provides a great introduction to organizational structures, differences between management and leadership and social context of business. It ends with a very insightful Q&A with the instructor Dr. Dorfler and a very easy test :) Upcoming weeks promise deeper dive into concepts covered in Week 1, I really look forward to it. FutureLearn learning platform works perfectly for this type of course, where videos are mixed with articles and forums are active and heavily utilized in the process.
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This course is a very brief and high level overview of certain machine learning algorithms and their applications. Probably the most valuable part for me personally was the introduction to software tools, such as H2O, that I haven't used prior to participating in this course. Homework - you basically just need to follow instructions, like in heavily scripted video game. Exercises themselves are much less challenging than in some of the similar courses on edX or Coursera. Overall, a good beginner course that you can leisurely complete in a few hours.
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I found this to be a very entertaining and insightful course. I came very close to completing the assignments but fell sick and effectively dropped from the course. Poor timing! I'll likely enroll in the next session to finish the job :) The course provides a great overview of what it means to market your music and yourself as a musician. In my experience, a lot of bands don't understand or don't value that aspect enough. Also, as an immigrant, I enjoyed an overview of the US tax system and how to properly handle expenses and taxes for your creative business. Kadenze website is great overall, the only confusion I've experienced is that I've expected my homework to be graded as soon as I submitted, but it took 24 hours on average with no obvious reason for that.
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This is a short introductory course on Alexa Skills development and best practices for Voice User Interface design. Development section is pretty straightforward and will make sense to anyone with software engineering experience. Both instructors do a pretty good job explaining key components of Alexa skills like intents, slots and utterances. It was also my first brief introduction to Amazon Lambda, even though I don't plan on using it to build my own skills. In the design section of this course, you will learn about which tasks are most suitable for Alexa's Voice UI and which tasks you should avoid. I suggest that everyone who's interested in Voice UI should take this course, even if you don't plan to build Alexa Skills in near future.
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I audited this course in Archived mode which means no homework and no grades, although I answered some quizzes to check my understanding of material. I've been visiting blogs focusing on sports arenas' construction for a long time and decided to brush up on my physics a bit and learn basics about engineering of bridges. Content was very interesting, especially fascinating stories behind Brooklyn and Golden Gate bridges. The Great Bridge: The Epic Story of the Building of the Brooklyn Bridge, a book by David McCullough, is now on my reading list. I also knew that Switzerland has some of the most beautiful and innovative bridges, but had how much influence Swiss engineers had on bridge design in general. I would love to take this course in full mode during its next session and do at least some of the homework.
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Data Science Curriculum from Microsoft is off to a very nice start with this course. Production-wise this is one of the best MOOCs I've taken across many different providers. Instructors are knowledgeable and also entertaining. Content felt to me like a mix of Statistics 101 and mid-level Excel. The only issue I had was a lack of statistical charts in Excel for Mac, although there's a workaround.
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The biggest flaw of this course is that assignments are designed in the way that if you have experience with T-SQL, you can complete most of them (I'm at 2/3 now) in a very short time without even looking at lectures. Nice things for me were overview of Azure interface (I have a lot of experience with Microsoft .NET and SQL Server, but not with Azure) and introduction to some newer T-SQL features. OK course to refresh your T-SQL, but probably too steep for beginners. Agree with other reviewers that it doesn't feel like a good fit for Data Science Curriculum.
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Ellen Lupton's book, Thinking with Type, was sitting in Amazon wishlist for a while and when I saw that she's teaching a course on Skillshare, I enrolled almost immediately. Through a series of exercises Ellen shows to create amazing designs with just typography. She explains how to compose typographic elements and how to pick and pair fonts. I will definitely buying the book after watching this course.
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Whenever I'm craving food that isn't exactly healthy, grilled cheese is often my choice. In just about 10 minutes Elana Karp shows how to make a delicious sandwich and shares a couple of secrets how to make it even better. Perfect course to watch on your train ride to work (and an idea for lunch too!).
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Super short 12 minute course which, however, does a good job explaining safety and traditional cuts that will work for almost every ingredient. Great foundation for a rookie cook like me. Elana Karp is definitely one of the friendliest instructors I've ever seen teaching courses online or offline.
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Like the course so far (I'm still in progress). Content seems to be designed both for beginners and people who need some refreshment on their prior knowledge. User interface is a bit too bright and playful to my taste but anyway I'm going to take more courses on Smart.ly platform.