Datasets:

chillies

/

course-review-multilabel-sentiment-analysis

like 0

I love, love, love this course. Recommend it for any dog lover or those interested in how dogs think and our utterly unique relationship with them. In my years of college and online classes, this is the most interesting course I have ever taken. Highly recommend the book too. I couldnt put it down. Dr. Hare does an amazing job.

The contents were interesting. Presentation rather poor. The speeches seemd disorganized. I had to rely on transcrips: downloaded and edited. The comments are at times too casual. And other times too much special terminology. Most of times I understand what she was trying to say. But listening attentively was very difficult.Heavy americanism impedes understanding; especially when the student does not have familiarity with US pop culture. I had to check how a pinball machine works. Zombis and four-armed (impossible) octpus were obstacles.

Good course for living well

This was one of my favorite courses Ive even taken with Coursera. The instructor was very good at explaining the subject to a beginner like me who has some programming experience yet none with Arduino.

Although I have completed the course I still go back to it to listen to Prof. Bliss teachings.

I really enjoyed this course. The lectures were short and clearly explained, and particularly highlighted why Bayesian statistics is different and what is useful about it. I would have like a bit more walk-through on some of the derivations in weeks 3 and 4. More R exercises and further resource recommendations would have been useful.

The video instruction are not as helpful as I wished. They were too brief, and all the learning end up with doing the exercises. The regular exercises and the quizzes use different database system, and it sometimes hard to transfer what you learn to the quizzes.The pre-quiz exercises are more helpful imo, but no answer key is provided. Sometimes I am still confused even after passing the quiz.

A very big difficulty for me, French people who uses to speak english everyday for may work is that :1) Teachers dont do any effort to speak slower and to articulate2) As with all other courses Ive attended in english, its impossible to read a transcription, even in english, while reading slides.Slides are not sufficient by themselves, i.e. without commentary beside. The workaround Ive used is to print french translation or english transcription and read it, trying to guess which part suited with which slide ...For a non-free course, its not really professional ...

It is very interesting! I was really satisfied by this course and teacher. But I think, Adrew sometimes pay too much attention for simple details and dont pay enough attention for more complex ones, but it was only few times. In general Im really glad to study and to finish. Wish you guys all the best!

The content in this course is essential, but the delivery is patchy and the course project is hard to complete with just the learning materials provided. Read around the course and visit the data science specialisation wiki for extra information, and work through it at your own pace, rather than that suggested by the course. Its much easier to do this now its on the new Coursera platform :o)

I really feel like I understood a great deal from this course. The exercises were challenging and sometimes required me to rewatch the videos, ensure my notes were good, and look up some help in other places online. I feel like calculus is fun, and Im looking forward to doing more! I feel quite prepared to take on some calculus courses in person now.

Perfect and simple way of explaining all our mistakes that we do due to our brain blocking, timetables or other obstacles that impair our way of learning,I am very glad that accidentally i signed in for the course, and it really changed the way how i see the process of learning now.

Learned the fundamentals of marketing with a digital slant. The most interesting portions of the class were interviews with experts in the field. Appreciated that the professor replied to comments I made throughout the course. The peer-reviewed grading for assignments was problematic because the explanation of the grade didnt align with the percent grade. Overall, Id recommend this course for a great foundation to marketing.

My overall experience with this Specialization, in general, and this 1st Course, in particular, is very positive.On the positive side, I really like the fact that the Courses are practice-oriented and provide not only theoretical frameworks, but also insights from experts, practical guidance, and evidence-based best practices.Also, the idea of applying Team-Based Learning (TBL), in the forms of Readiness Assurance Tests (RATs) and scenario-based RAT Application Exercises, for assessing participants learning, is excellent!However, there are a couple of downsides, thats why Im not giving a 5 star positive feedback.The first problem is that not all of the required readings are freely available via the Coursera platform, or elsewhere online. I appreciate the excellent quality of the chosen materials, but, if it becomes compulsory to spend more than US $100 for buying books, then the total cost of this Specialization elevates quite a lot, given that I had to pay €162 for it. On my opinion, there should be at least a note in the description of both the Specialization and the Courses about these requirements, in order to make an informed decision before enrolling.The second downside has to do with Course 1 and Course 2 overlapping materials. Im referring to guest interview videos. Thats mainly a problem of the 2nd Course, as there are almost no guest interviews in this Course, and the one interview provided is already available in Course 1. I understand that the topics discussed apply to the topics of both Courses, but, still, I find it an unnecessary repetition.The last problem is about the dates that the Courses are run. Course 1 runs during a given period, Course 2 is on demand, but it makes sense to attend it before Course 3, that also runs during a given period, which overlaps with the period of the 1st Course. Sorry, this makes it very difficult to attend everything and to seriously focus, as its always about running for deadlines, especially when one has to produce three (3) Board Effectiveness Assessment Reflection (BEAR) papers :( .

I am very new to poetry and found the video lessons in this course very educational, as well as interesting and very light-hearted. Im not interested in writing my own poetry at the moment but feel like Ive broadened my education, and am now better able to assess what works and doesnt work in other peoples poems. Im very glad I watched the lessons.

Amazing course - the material is taught at a good pace, and with sufficient depth. The assignments are a little confusing though - between pandas and Graphlab, it gets tough to figure out what to take as reference (the iPython notebook uses Graphlab whereas the course page uses pandas/sci-kit). There are differences in language and input values for the two, and it wasnt mentioned anywhere so it took time getting used to. All in all, great course! Thanks :)

So much of the content was limited without paying for the course, that calling it a MOOC is a real stretch. Because of these limitations, most of my work was done on my own, and by purchasing the related book. Since my local Community College used to run this course, but now points to this onine course instead, its a huge disappointment. Most folks who are going into business for themselves need good information but have little cash. The one star is for the handouts (I believe pulled from other websites but pointed to by this course) - these have been useful.

I am dropping this course. dont e-mail any more for this course. How do I unroll in this course.

The program could use more detail in its instructions but I have to say my skills and experience was really put to the test. Just one issue with the specialization. The Protools requirement from the 4 courses is not a good idea. That DAW requires a Audio Interface which is the reason why some of my friends that dont want to take the specialization.

Im taking this course as a refresher, and the prof is simply brilliant! Thanks for not making this a monotonous course. This is the teaching style we must adopt if we are to improve the way people learn more complicated subjects.Evolution of learning:Make it fun.Make it applicable.Eventually all these courses will be interactive and on tablets, but until then, lets teach courses like Jim.

i have fun in this course, also it was easy to understand the subjects of the course and the comands of python. Dr Chuck did a great job explaining how to program with python. Maybe the assignments were sometimes too easy, on the other hand, they were fun to do.

Great course delivery by the instructor! Great opportunity to meet great people! To me it was like a real journey! The course gave me a clear understanding of 3D printing in high level. Looking forward to get in -depth knowledge from further courses! I would highly recommend this course to those who wish to know about 3D printing!

nice class!

Mini-project grades system is awful. btw, you have to wait till three students review you project. One more point is that, the contents of videos are not that enough. You can just read the required textbook to get all knowledge and examples.

It was very challenging. It would be better if a couple of practice exercises were put after the relevant lecture videos and not just after the weekly lecture videos.

Brilliant explanation but Professor need to have a little more smile and expression

This was my first course on coursea and I enjoyed it. I found the material beneficial and useful.I particularly liked the interviews as well; very helpful.I felt that this was a very practical place to start for my first course before embarking on learning new subjects that Ive never thought of before.

Really enjoyed taking this course and Im looking forward to the next step. Like the interactive videos. Like the extra resources highlighting relevant Ted Talks.Discussion area is not as useful as Id hoped and use of surveys from 2013 not super useful. Parts talking about tools used are irrelevant now are not very helpful.

This is a good course. I have done stats in the past so i was using this as a refresher but also to advance my python skills a bit more. I think you should take an introduction course to python first. you will get more out of the coding examples. I suggest the Intro to Python by the University of Toronto at Coursera. I found that to be an excellent course.I find that in these lectures they do a great job in explaining the stats theory. They do not dwell to much into the science behind it but more the applicability. This is all good. You can simply do a little additional research and get the pure science behind of it all

This course was very helpful to me, it showed me a lot of new approaches, and also showed me to take my Engineering experience and apply it to studying they way I would approach an engineering project. It also helped me to calm down about that Im not the only one with some of the problems mentioned in the course. What I also found interesting where the examples of the people true history and who overcame their problems this was very inspiring. thank you very much ! Hans Van der Veken (Belgium)

There needs to be more help available, at least for paying students, to answer questions and clear misunderstanding. The quizzes are taking too much time.

Very comprehensive on all aspects on drug addiction, though a bit too difficult for those without any medical or biological background knowledge. More animations / diagrams for illustration would make the course better.

The technical support of this course is just terrible: just like many many other students (see the Discussion forums), I have experienced serious difficulties to access the databases platforms we need to learn and to complete our assignments. I can only echo the innumerable complains from my co-students about the lack of efficient support and technical reliability of this course; many of us are very unhappy about this, especially as they have paid for this course ... and what is Coursera doing about it, by the way?My advice: beware before enrolling in this course and even in this entire specialization, and search for alternative options (there are many, not only on Coursera but also on EdX and others ...)!!!

Good Questions and very good Test Cases.

Internet History, Technology, and Security is a GREAT course! I learned a ton. The professors presentation style was perfect for me. He is obviously very passionate about how awesomely innovative the Internet was in the early years of the Internet. This class has inspired in me a HUGE appreciation for all the geniuses who contributed to the Internet and WWW. I recommend this course to anyone, no matter their level of prior education. I will definitely try to take more courses from this professor, and I will probably take this course again in the future to refresh my understanding.

Though the content is great, it is kind of messy altogether! At the end Prof. Green strongly invites us to enroll for a degree in his field at the university of Maryland and there wouldnt be any problem with that without the kind of messy feeling that the course leaves you with. When you put both together it awfully seems like the university tried to diversify its communication and that the only objective of the course is that you enroll in a degree. At the same time, the technical issues of some lectures give a relatively bad image of the university of Maryland...Too sad because again, the content in most videos is great... Just reorganize it and put it together with more cohesion. Among other peer reviews would be preferable to the current way of testing...

Peer review assessments in this kind of course, with more complexity, are a little bit annoying. Someone reviewed my essay (1 introduction + 3 body paragraphs + conclusion) saying stuff about my 5 body paragraphs, showing that she has not even understood what a body paragraph was. This same girl also noticed lots of punctuation mistakes in my essay, while others evaluated it as almost perfect. I know it is kind of complicated to teachers and mentors review the essays, but this model is a bit frustrating. :/ Other than that, the course was just amazing! I loved the videos, the format, the quizzes and games really helped me to learn, and the proposed essays were nice. Thanks!!

(+) Manageable bite-sized online lectures with interesting content that are highly relevant to the topic of Learning How to Learn(+) Assessments are pitched at the right level, with questions requiring recall of the concepts learnt and some other comprehension- and application-typed questions that require a bit more thinking to apply the concepts learnt.(+) Professor Oakley has a very interesting style of presenting the topic that makes the material very easy to digest and learn. She communicates key learning points in a concise and succinct manner using a variation of simple analogies, wacky (but meaningful) graphics, life stories and other examples to draw out or to associate to important lesson takeaways.(+) Personally, I did not managed to finish all the optional interviews but I really appreciate the time and effort used to glean additional inputs and insights from multiple perspectives and I hope to be able to revisit this course at a later time.(+) Professor Sejnowskis insights into learning how our brain works is something new to me. It is also an important part of this course. Although I could barely recall the terminologies, but certain images that he has shared to assist in scientific explanations, and the true accounts of HM as well as the two scientists who swollowed poison without being poisoned, did stay in me and helped me understand the material better.Thank you, Professor Oakley and Sejnowski, the course was meaningful and well-paced, offering insights into learning and how the brain works. I greatly appreciate the effort and time spent to make the materials and information illustrative for learners.

The course itself and the content of it is great, the only suggestions would be:1) It could be reviewed, how the evaluations of each submission are made. For example, 1st assignment - descriptive analysis was asked to evaluate based on if the 3 most important things - if they have been mentioned in the description. The thing is that in real you can not tell, which are the most important because people think differently and could focus more on other details. It was easy to add also those important points by resubmitting work, but the problem is that only with that the analysis of a student is not getting better, thus the evaluation is not precise. For tasks like that I would suggest at lease to make a list of 20 things to mention and then count how many are there - thus making the quality assessment more precise.2) Some topics could have been explained more detailed in the videos, e.g., about guide tones and lines3) The requirements for the submissions could have been more clear. I also got the impression that in if switching the sessions the requirements could be slightly different (As I got the case when somebody pointed out a particular thing that he thought was required and I have not done. I checked the page but nothing about that. Also other classmates mentioned nothing about that and thought all was perfectly fine).I hope this helps.Thank you so much,Regards,Ance

This is course is great and the way its been taught by professors is very cool :)I am getting to know the use case and than how we are going to do it, rather than conventional other way round. I am so happy that we first come to know about the application and its so important for a student to know that.Thank you so much, only problem I see is that this course should have been started earlier :)

The material covered in the course provided a very good introduction to Machine learning algorithms and its applications. The programming assignments were not difficult but interesting and had a lot of scope to play around with. The quizzes were challenging and tested well on the course material. I feel like I can dive deeper into machine learning after taking this course. The advice provided by Prof. Andrew regarding how to approach real-world machine learning problems were very helpful.

I found it a bit peculiar that there were no tasks (problem sets) that were actually required to be taken (and passed obviously) to receive this courses certificate - which kind of devalues the obtainment of such in my opinion as passing the course by taking quizzes only seems a bit easy to me. Also the whole presentation of the material seemed not as thoroughly thought through - compared to other moocs I have taken or even the first course of this specialization. Although I must admit once you totally got around the fact that this mooc relies heavily on supplementary learning material (I for one bought the ebook mentioned in the course - the busy coders guide to android development - which is an excellent book and I probably would not have found out about without this mooc) and one gets used to its approach it is not as bad. Altogether I have to say the course was no waste of my time since I certainly did learn a lot but it could use some honing on a few sides. On an absolute positive side I feel the urge to mention the case studies conclusively which were really eye opening if analysed alongside the mentioned ebook and doing some googling :) Looking forward to course number 3 of this specialization.

The course is helpful but incomplete. It does not mention dashes and colons. It also misrepresents the usage of semicolons. I have seen the idea of using a semicolon followed by a transition word taught before, but I do not think I have ever seen it done in published writing in my entire life. It strikes me as being pretentious, something to be discouraged.

I enjoyed the contents and homeworks. Overall the delivery was very good, and I have grasped a lot.The main reason that I wont give 5 stars is the program assignment. I have spent and wasted 3 weeks to work on the tools, yes, tools, not the subject matter. Course should clearly indicate that the assignment only works in Linux/UNIX environment, and need to further test the scripts in most popular Linux OS platforms, different c++ versions, and different python versions.

Too high level

Excellent material! I thought the lectures were very well organized and expertly presented, and my interest was kept up throughout the course. The only thing I would like to see is some more challenging homework/quizzes to help drive home the content. I came in as a financial markets newbie (Im a computer engineer by trade), and my interest is definitely piqued to learn more. Thanks, Prof. Shiller!

As the first serious encounter with financial engineering I found the course challenging but very rewarding. Very good theory-practice ratio. I would definitely recommend to somebody who is interested in the topic and willing to spend many hours with it. My experiences are based on 4 weeks of completed sessions, so please take it with a grain of salt.

My respective teacher has given us a task to complete this course,as a sessional activity. Astonishingly, when i heard the title of the course Materials Science: 10 Things Every Engineer Should Know;their is not a single thing that come into my mind that what could probably the thing that we dont know.After completing the course,:Suprisingly;I find that actually i know about the 10 things.Eventually, I realize that i am not certain about the facts or building blocks about material science that this(10 things) is the main stream of it. Appreciatively, it is a remarkable knowledge that i have come to know about Material Science.

Very poor material and instruction videos, with no logical flow or process.

I really enjoyed the course. I always wanted to do a course in poetry, but this is my first opportunity to do so. The course was well put together, the information explanations and the lecturers method of delivery kept you awake and attentive. He was quite dramatic but it was essential and effective. Thanks for putting it together, I learned alot and feel more confident about my poetry writing.

At this point, I think that the course is good, however there should be more reviews. Three reviews of people who is also learning is not enough, in my opinion. I have received some comments like some sentences are not good. Which tells me absolutely nothing. I think people should be encouraged to exemplify what they mean ,to take the sentences that they believe that are wrong, and extend why.For the rest, the course is very good.

Great

This course targets mostly students audience, but not people with the aim of self-development, who passed their academic study long time ago. Therefore, information concerning learning process somehow too much basic, but at the same time can be quite useful if you are not aware of all these facts. What didnt also suit me is a lack of structure and a bit confusing videos explaining different concepts of brain structure and functioning, that seemed too much scientific in the frame of this course. But what really hit my interest is enthralling optional interviews with different scientists and just talented people. They were really motivating and inspiring!

I am very happy that I completed this module! There are few teachers who taught about how to learn and how our brain is actually doing while we are learning new stuff. By knowing more about the activities happening in the brain helps me to control my learning, and sometime, use some tricks to convince my brain go deeper, or to train my brain.I cant wait to apply the methods taught in this module on other subjects!

I highly enjoyed this course. The workload was just enough to keep me busy but short enough that I could work around my busy schedule.Being a novice, I learned quite a bit and has made programming and Python much less intimidating. I think im ready to tackle the next course.

I enrolled this course last year and quit at week 3. But I finished it this time and its the first CS MOOC I finished. Its a really hard but really worthful six-week. It led me into the world of algorithm and helped me improved my English a lot.Thanks to Sedgewicks gorgeous lectures, Waynes patient answers at Discuss forum and every fellows participate this course.

I learned a lot with this course, but there are not so many exercises for students to train the content learned. The lectures are very good.

Really great course! Learning about the psychology of popularity helps me to learn more about myself and others. I was popular in elementary school but became controversial in middle school. I moved to another country in high school, and in that new environment, I became quite average. Until now in early adulthood, I still yearn to be popular. Although I dont engage in substance abuse or other risk factors, I do not maintain interpersonal relationships well and have been trying to fix this issue. By taking this course, I now understand potential factors that could have caused this issue, and thats the first step to my endeavor to improve myself. Thank you for the enlightenment!

This was a great re-introduction to algorithms for a CS graduate. Great content, fast-paced and the forums were very helpful.

This is really one of my beloved courses. It is not only about how to keep talent and develop it inside your team, it is discovering lots of extremely important keys to keep your team updated and flexible of fast change. This course helped me a lot not only in developing and picking talents for my team but also for changing myself and discovering its strengths and weaknesses.Thank you

The course was inspiring and made me focus on the small details in the environments I create. I think that the professor leans too hard on the quotes and the work of other authors as a core part of the curriculum. It would have been useful to have a breakdown in charts or a checklist to help push our descriptions along. Having said that, the professor seems to care a great deal for her students and that came through clearly.

This was such a cool way to get started again with music production!!...Im so glad I found this course, and Erin was perfect, she made everthing so clear and easy...I wish it was a longer course tho!

Unfortunately this project is not fully aligned with all the previous program, which is a shame. Ideally, the project was more related to quantitative data, or have compulsory module NPL. It was certainly a very important learning, but very stressful to have to grasp NPL and do the project in a short time.Learning NPL in short time in a DIY way without any help it was very negative and stressful.

This is a good introduction course. But!But, I dont think its worth to pay 61 dollar for a couple of hours of lectures, that you can finish during 1 day.Im really disappointed with the fact, that its not possible to go through quizes and assignments without payment. What if I cant pay right now, but will be able to pay at the end to receive my certificate? I should go through the course again and I will be late for all assignments, so will have to wait for another course session... Very-very inconvenient.And, yep, coursera reduce the effect of learning with not providing quizes for those who are auditing only.

Information is well

Everyone would have their own approaches/tools to learning. I feel that this course would help one to confirm if the approaches/tools they use is really helping them ? And also, it would help one to equip with several more approaches that others in the world use for learning. Keep learning!

Quizzes were based off of extremely high level overview videos not covering anything specifically or deep diving into anything. When applying the git commands covered, numerous errors arose. Overwhelmingly academic course with very little hands on. This is not for anyone actually looking to work in this field, but for someone looking to be able to talk about this field.

I found this course to be very enriching in understanding the physiological reasons why the person addicted acts and thinks in a peculiar way and also very enlightening as to why the relapse is so frequent in recovering addicts

The course is ok but I found that there were some technical quirks that could be ironed out first. Example is to download the text files in the final assignment the command wget is invaluable. How to leave safe mode if the Name node is in safe mode. VirtualBox is default to 32 bit/ubuntu when the image is 64 bit/Centos/Redhat.In addition the course content is a bit little. It says 3 weeks but I finish it in 2 days. Perhaps it is about quality and not quantity.

Overall, an excellent hands-on course to learn the basics of machine learning. I am really glad I chose this over many other options available online.If I were to pick straws, a couple of the programming quizzes could be better, especially week 6 images quality and related questions 2 and 3, and couple of the theory quiz questions were misleading.Finding all the iPython notebooks and data online on Amazon was a Godsend as those data files just refused to upload from my system. I wasnt aware that these were available so I could have saved 2 weeks of delay in completion due to data upload problems.I am keen to continue my association with Univ of Washington and Coursera based on this experience though I am not in the market for certifications at this stage.

Very nice introduction to Big Data. This is were you decide whether to take the blue pill or the red pill (sorry thats from the 1999 movie Matrix )

Never thought I would enjoy programming as I just believed my brain didnt work that way, but how wrong was I. I am simply amazed at how well the instructor subtly but quickly builds on previous slides to increase your understanding so that after six weeks you thoroughly grasp the very basic fundamentals.

This course has been utterly brilliant. I almost cannot describe the important things Ive learnt, the new techniques to try and the confidence its given me. I am hoping to study a Masters of Research next year, however, its been a long time since Ive done any formal study. This course has given me the confidence to believe I can be successful in my studies, as well as the techniques to make sure that is true. I would recommend it to *anyone* who is considering a new course of study after a period of non-study. This course gives you the tools and confidence to study anything. It is utterly brilliant.

It was really a lot of fun to work on this course and on the programming assignments. The programming tasks were informative and interesting. Im now looking forward to build cool applications and to learn many more things in the field of Machine Learning and Data Science. Thank you very much for this awesome course.

This course presents relevant topics for machine learning in a very didatic way and in a very interesting sequence. The teacher really knows the topic, the comunity is engaging and the material is really well crafted. I totally recommend this to you if you already have a little programming background (matlab is a plus). If you dont, i sincerely recommend that you study a little matlab and linear algebra, although this is not 100% required for passing the tests, it is essential for your complete understanding of the subject. (Note, im currently at week 5 of the course).

I would recommend this course for everyone.

This is excellent training for the person who likes to keep up with the latest and greatest front-end developments. If you dont like to switch up and turn on a dime then this course is not for you. I had trouble aplenty and yet the point seemed to be: stay flexible, be prepared to use obscure tools (that are supposed to make the site work better but who knows exactly what is happening under the hood), expect change and adversity, become an expert at debugging that crappy code and refactoring everything at the drop of a hat. This is probably good approximation of real world experience where you would need to come in on a project and bail them out of angularjs damnation. Be prepared to be frustrated.

Overall the course is very good but it gets trickier the further you go, specially if you have no experience in this area whatsoever... Take it from someone whos first contact with Web Development was the first course in this Specialization: HTML, CSS & JavaScript. My advice to students in a similar situation is to look for other sources of information as well and try to experiment with your code as the lessons go by so you can really grasp the meaning of the pieces of code youre writing. Eventually, theyll start to make sense :-)

13 weeks long? This is basically his class syllabus transferred to a MOOC! The first video was a ridiculous waste of my time. The videography was totally unprofessional. Shaky camera, this long walk and football kicking with a brain on the football field??? The audio is horrible... use a mic. I signed up for a neuro course, not an advertisement of the campus. This guy needed an Instructional Designer to help him condense and build this course into something digestible. This is MOOC, not a college course. I am horribly disappointed at the quality. I needed an overview of the main components of Neuro Medical Science.

A good intro to the HTML material, which is an entry level into coding in itself. Since its intro it doesnt cover the vast array of of available tricks accessible within the language and there may be instances where you have to seek tips elsewhere on the internet. By the end of it all you should be able to build some basic HTML elements. With that, there are still some tidbits about the basics of HTML (tags) that I still have questions regarding importance/use of.

It was an interesting course.

Great course, but needed more exercises for student practice.

Hello, Im Giuliano from Milan - Italy. This is my first course online. Ive got a food-pr Agency. www.GIROIDEA.it – I believe in continuing education. I deal with communication and I provide strategies to entrepreneurs who want to create new business. The fund of F & B is very interesting and long follow it with interest. I take care of the business of two eCommerce sites that sell wine and Parmesan cheese.

I am really thankful to this course. The way it is created i never lost my interest in study & it was easy to understand. I tried learning python few times before from the several PDFs available online & lost interest within few hours. Thank you Charles for those lecture videos.

It is hard but it is worthy

I so much enjoyed this java tutorial class. The design of each clip/module is very humane and best for the learning from scratch. I have finished this class and the one after it (array list one). I feel very confident about learning Java language and I am heading for the next one (software design principal). I plan to finish all of the 5 courses and then buy the certificate so I will be sure I am not waste my tuition. I am leaving the 1st class (CSS, html) for the last one before capstone because it seems not so relevant to SDE training but more frontend/UI.

I am so sad to see this class end. (At this moment, Im at the very end of the last week.) So much information, presented so elegantly, explaining so much, answering questions Ive had much of my life, this course was amazing.Now, I just have to get every, single human I know and love to take the course next time its offered. (Thank God thats only a week or so away!) Im going to take it again, too. Its changed my life once, and Ive got this feeling that if I give the information a second go-over, it may change my life at an even deeper level.

I am a 55 year old learner with two advanced degrees and I have struggled. My hope is that more people get exposed to your work. It has the power to ease suffering and end unnecessary battles with self confidence. It may even keep many from giving up. Thank you for your generosity and knowledge.

I found the course rather difficult, with respect to the other courses I did on Coursera. In my opinion part of the reason I found it difficult is that the material is not explained very well. Hinton is certainly a guru in Machine Learning, but I found him a bit boring as a teacher and often I thought he was explaining some details but failing to give the broader picture. I must admit I did not read the extra material provided with the course (the long articles) but only focused on the videos, slides and tests, perhaps had I read the articles I would have struggled less. I also did the course in 9 weeks instead of 16, but I did watch most videos twice so I feel I did dedicate some time to it. I much preferred Andrew Ngs course, and I strongly recommend doing that one first. I am also loving the University of Washingtons Machine Learning specialization, but since I have been wating for the next course in that specialization for a while, I did Hintons course in the mean time. That said, I did find this course useful, although I often felt somewhat frustrated.

Some very valuable learnings from this relatively easier course. Ill be taking my personal brand way more seriously now and with some concrete ideas I got from this course.Could have been 5 star if there was a bit more depth to the course. The 1-on-1 on twitter was not really needed. If someone can find out about coursera, then not knowing how to use twitter was far fetched possibility.

Nice introduction to functional programming and learning how to think about problems in a different way. Learnings are not tied to just Scala - I also think I did not learn that much of the Scala syntax during the course. I enjoyed the exercises and the course material was good which encourages me to continue on to the next course.

This is a great course for new parents who have no background on child nutrition. For those who are already familiar with basic nutrition, most of this course may be a review for you but theres some good information and facts to take away. I wish the instructor had a little more training/skill in the cooking segments (e.g. basic knife skills she said dont cut your finger but held the knife completely wrong, using the knife to point at different ingredients).

This information was new to me. With a lot of work to watch and rewatch the lectures, I learned A LOT. I had to redo the homework for two separate weeks because I have no background in this field. I found it helpful to grade many more than the required homework assignment because then I learned from my other classmates. It was a challenging class but also interesting. Im very excited to take the next class in the specialization, Aruduino and C Programming.

As an educator myself, I found this class to be rather pathetic in its structure and the assignments. These are topics and activities that I was doing as a student in middle school and junior high (both public schools mind you, not arts centered charters). Charging people for a certificate in this class is tantamount to what diploma mills do as the course requirements are not up to even senior high school level coursework. Truly, Coursera, what happened to your open education offering real education?

Very Good course ! Hope to see Organic Chemistry and some Biology courses by University of Kentucky like this.

It is told that to take this course, basic computer skills like sending emails and downloading files are necessary-this is a beginning level course. Then, in the first module, instructors talk about polymorphism, inheritance and abstraction. For someone who have no prior programming experience, these are definitely not suitable topics to start with. Moreover, students are supposed to learn these concepts to get a good grade from first quiz, although they know nothing about programming.I had some programming experience, so I was already familiar with these subjects. But the lectures were too boring to keep watching. I watched like 10 videos and learned nothing about the course subject. I think I wont be spending my time for this course, which seems to me like reading some reference files.

I loved this course! I learned a lot. The topics selected were very strategic and helped me really understand better what was going on in the digital world. I liked that it was the concepts always had real life examples and the course was hands-on despite being online. I got my feet wet on stuff I never tried before. Before this course, I couldnt make sense of my observations until he broke it down in this course quite effectively. I liked that he included emerging technologies as part of the discussion so that even if this course is a few years old, at 2016, its still quite forward-looking. I will miss Prof. Aric. Thank you, Sir! I had fun doing this. Coming from the middle-ages, you gently held my hand, helped me jump into the water and I had fun splashing about!

In my opinion this course is a good way to learn basic statistics. I do think the R part and the statistics part could be more integrated in order to learn R better and to use it more efficiently. For me the studytime was double the time that was stated even though I was already familiar with some of the concepts and calculations. I feel like some weeks the subjects should have gotten a little more explanation with videos or other supportive material, maybe some assigments to make in order to check wether you know and understand the material. Maybe you could compare content and way of teaching to the Duke University statistics course, this is not a better course per se but does do some things differently whilst both teaching stats and R.

A lot of time devoted to the job stuff may not be super relevant for most students, and was certainly not super relvant too.

the first part is amazing. very well, but when I begin with Mat lab, I´m in the way but alone two steps after. Is dificult for beginers.... in count is great experience find the solution and look the 100/100.It would be good: any more help in the first steps in Mat lab.