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Andrew Ng updates his Machine Learning course
- deleted 4y ago[deleted]
- octagons 4y agoIs the registration broken? I am getting errors to "Please complete this required field" on two fields that I cannot see (or fish out of the div soup that is this signup page.)
- laurex 4y agoThough I had almost zero ways I would actually use the learning from this course (and indeed really never did any ML after and have probably forgotten it all) it was still a really fun brain exercise to revisit some math and then see how ML thinking worked! I have recommended it quite a few times.
- melling 4y agoAnnouncing that he updated his course certainly gained more attention than saying it will be available in June https://news.ycombinator.com/item?id=31204055 https://news.ycombinator.com/item?id=31204055 I certainly was excited when I saw this headline. Thought maybe it was early
- xtracto 4y agoI took this when it was mlcourse along with the aicourse by Peter Norvig. I was in research at the time. They were entertaining, but certainly mainly an intellectual curiosity for both academics and practitioners. Nowadays Practitioners would most likely use an ML library.
- bitL 4y agoSo what, concretely, has changed?
- karaterobot 4y agoI'll say that that waitlist registration form is very sketchy. Agreeing to receive marketing updates is required to join a waitlist for a course? Classy move.
- criddell 4y agoDoes anybody know if it is still free? I took this course and Dan Boneh's cryptography course and both were truly excellent.
- synergy20 4y agoTo get a certificate you pay $49 a month flat rate, there are 5 courses in total and all could be done in 5 months at regular speed.
- dwallin 4y agoThey say you can "audit" the course for free, but they employ a ton of grey patterns to get you to pay for it. I haven't been able to find out where to audit it yet. Update: You have to go into the individual courses within the specialization and the enroll popup will have an audit option. First Course is here: https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning https://www.coursera.org/learn/neural-networks-deep-learning...
- rahimnathwani 4y agoIIRC you need to pay if you want your assignments to be (auto-)graded.
- cheriot 4y ago^ this has been the case for other Coursera classes I've done recently
- redox99 4y agoThat link says "Enroll for Free" and no audit button. Maybe it's because I'm not logged in?
- zerkten 4y agoSelect Enroll and then the dialog has the audit option at the bottom.
- cypress66 4y agoChecked if he moved it away from Matlab, and yes he did! That's what steered me away from his course.
- quux 4y agoWhat's the class using now?
- oogetyboogety 4y ago10 bucks says it's python
- rashkov 4y ago“Graded assignments and lectures have been rebuilt to teach in Python instead of Octave“
- lern_too_spel 4y agoThe programming assignments were one or two lines in Octave. They'll turn into 10 lines of Python with indentation errors. Python is a worse pedagogical language for any course in applied linear algebra.
- bonniemuffin 4y agoOTOH, the time I spent learning Octave/Matlab for Andrew Ng's course was 100% wasted time, because I've never used it again in the 10+ years since I took the class, whereas time spent learning Python would've been useful to me in myriad other ways.
- beckingz 4y agoIt's amazing how hard it is to stay up to date in the data space, so it will be interesting to see how this course has been updated.
- farzatv 4y agoThis is one of the best courses on ML.
- smnrchrds 4y agoWhat are the others? Any recommendations?
- _odey 4y agoNot a full course I'd say, but I've used this one to learn the math behind deep neural networks and code my own from scratch in elixir and C: http://neuralnetworksanddeeplearning.com/ http://neuralnetworksanddeeplearning.com/
- lagrange77 4y agoYes, this is really good! Andrew Ng, too.
- vasili111 4y agoWhat is required math for starting Ng course?
- _odey 4y agoCan't tell you about Andrew Ng's coruse as I haven't done that, but for Michael Nielsen's course it was Matrices and Partial Derivatives. I'm assuming it's quite similar.
- UmbertoNoEco 4y agoDepends, how much linear algebra, probability and python do you know?
- samstave 4y agoWhat if one knows zilch, like my teenager... What might be best to start the path?
- xwdv 4y agoAlthough this is the best course on ML, is it really practical for anything? Has anyone built products for things they’ve learned from this course?
- screye 4y agoThat's like asking if a CS101 course is useful. It is unlikely that you could build a major product with it, but it could tech you neat tricks to speed up some parts of work. Also, similar to cs101, it is a necessary first step towards a career in ML. So might as well do it. I know a bunch of business analysts and data analysts who have gotten a job based on what they learnt in this course. Ofc, they also got some stem degre alongside it, but this course made a difference.
- UmbertoNoEco 4y agoNo. The ugly truth is that these courses will be useless to 99% of the people. Machine learning is dominated by big corporations with gigantic amounts of data and processing power. If you want to work in one of them or create competing ML companies you need pedigree (a PhD from a well know university), and those guys arent taking courses with fake credentials. You could use ML in your job/company but then you dont need this course, you just use a ML product. See this course as a hobby thing, or if you are in HS and want to start preparing for college, otherwise there are better uses of your time.
- woah 4y agoYou can get almost unlimited GPU time on Google Colab for $50 a month. I don't know why or how they pay for this, but it does bring "real research" into the reach of individuals.
- UmbertoNoEco 4y agoYou can get more processing power and true unlimited time with any semi-competent graphic card (probably costing less than 1 year of Colab Pro+). Pro+ is a scam, you are not told what kind of instances you will be running at, and you dont have any guaranteed continuous running time. And even if you were given full 24/7 access to a top of the line card that would be like 0.001% of the power used to train any big modern ML model. Users complain all the time: https://www.reddit.com/r/GoogleColab/comments/sq0lia/colab_pro_my_experience_so_far/ https://www.reddit.com/r/GoogleColab/comments/sq0lia/colab_p...
- deleted 4y ago[deleted]
- kache_ 4y agoReally great course, highly recommend it. It demystifies so much :)
- colordrops 4y agoIf one is a seasoned software engineer, but has little experience in ML or deep learning, is this course still suitable?
- vitorbaptistaa 4y agoDefinitely. It starts from first principles, linear algebra, and goes from there. It's an amazing course.
- vasili111 4y agoSo you need to know Linear algebra to understand? I knowing Algebra I enough to understad it?
- kache_ 4y agoIf you remember highschool AP math, you're good. Otherwise, check out ISLR for a faster intro, capped by your ability to read
- vasili111 4y agoDo you think ISLR is not outdated? I just looked at the date of publication and was wondering if it is still relevant.
- deathtrader666 4y agoWhy would Statistics, a branch of mathematics, become outdated in a few years?
- pm2222 4y agoI finished machine-learning[1] long time ago and it's so good. Look forward to this [2]. [1] https://www.coursera.org/learn/machine-learning/ https://www.coursera.org/learn/machine-learning/ [2] https://www.coursera.org/learn/neural-networks-deep-learning/ https://www.coursera.org/learn/neural-networks-deep-learning...
- rg111 4y agoThe only downside of [2] is that is is taught in Keras + Tensorflow rather than PyTorch.
- AiFoGhost 4y agoVery very excited to check this out.