- 3 reviews
- 3 completed
Prior experience: I have read a book: "Why E=mc2" of Brian Cox Likes: I really enjoyed the course lectures. They were eye opening. dislikes: homeworks were the weekest point of this course. With the exeception of two assignments related to traveling to black holes and spacetime intervals, all other assignements were not very good eg. some of them got quite difficult tasks but couple of explanations answers were given. So even without fully understanding a topic it was easy to answer them so they did not shape understanging of material. Other assignments were not covering entirly all presented material. There were lovely ideas presented, methods of investigaintg cosmic distances etc. and they were not covered in homeworks. Also what was covered, was related to bunhc of very similar tasks so I felt like I'm doing same task over and over (just diffrent numbers used) without really improving my understanging of this fantastic topics.
I took first instance of this course (started at end of 2013) on edX. Course was fantastic and require lots of effort of mine to have it completed. It is basically as prof. Mustafa said in introductionary speach : focus is on understanding. This is very important and course deliver its promise successfully. Nowadays there is countless of techniques in machine learning you can learn them , but how to apply them for learning, considering data we are given is not an easy thing, also what does it mean to learn, all of this concerns are covered in detail in this course. I'm software developer and completing this course enabled me to work on machine learning projects which otherwise would not be hardly possible. So if you are to learn/understand machine learning this course is the best way to spend your time in area of machine learning. Highly recommended!
Fantastic course! This course is about quantum computation (quantum algorithms and its comparision with classical counterparts) and quantum mechanics (linear algebra based matchematical model describing quantum world) there is a bit also of quantum physics . So course is fully packed with awesom start. I feel it is great starting point for diving into quantum mechanics/informatics related area. Course require linear algebra skills (dealing with matrices), some experience with complexx numbers, integrals, basic probability and trigonomietry. It is quite demending (in my opinion) course to study it in depth. But even without full understanding I'm sure every student will get something valuable from it. I'm happy I took it. *Given workload is number of houres I spend weekly (I would spend more if I had some more time) on that course