Top all-time · #16850
Karl Rosaen
Personal blog · karlrosaen.comaiprogramming
Karl Rosaen writes Karl's Posts, a personal blog at karlrosaen.com about ai and programming. Since 2016, 4 different Hacker News readers have linked it 18 times, most often “How to Learn Machine Learning”. The last post was in 2016, but the archive is still widely read.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN commenters link a post on machine learning with PyTorch and scikit-learn, one citing it as the write-up of a project another user carried out. Comments do not judge the writing.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- How to Learn Machine Learning3 people · 9 mentions · first linked 2016-04-28
- A Learning Sabbatical2 people · 4 mentions · first linked 2016-04-27
What Hacker News says?
I took the summer off to learn enough ML to transition from a career in software engineering & product / leadership type roles to ML. I suggest for a first round learning practical tools and techniques so you can start applying supervised learning techniques right away while also starting to build a more solid foundation in probability & statistics for future deeper understanding of the field. I've written about my…
Comment linking /ml/
on “Ask HN: How to get started with machine learning?”Submitted The Sigmoid Function in Logistic Regression as a story · 97 points
HN discussionMake ability to learn on the job a high priority. Save your money and take time off. I wrote about my experience taking time off for a 'learning sabbatical' here: http://karlrosaen.com/learning-sabbatical/ and now have a job where I make quite a bit less than my last job but have a lot of freedom to learn on the job (e.g spend several hours a week working through material that will make me more valuable on the job,…
Comment linking /learning-sabbatical/
on “Ask HN: Developers with kids, how do you skill up?”Submitted How to Learn Machine Learning as a story · 6 points
HN discussionSome on this thread have recommended Norvig's PAIP, but that's kind of an old school AI book in that it focuses on heuristic search and logic (implementing prolog in lisp at one point, very impressive stuff actually); but is lacking any coverage of statistical machine learning, which is the approach that underlies most of the cool stuff these days. It's still a great book, but I'd instead recommend a path that focus…
Comment linking /ml/
on “Ask HN: Best books on AI?”Submitted Machine Learning Curriculum as a story · 5 points
HN discussionI'm about a year into a transition from traditional software dev / engineering leadership to ML / robotics engineering, starting with 6 months off of personal study and now continuing study while on the job as a research engineer. I wrote about my experience and give advice on how to approach learning ML here: http://karlrosaen.com/ml/
Comment linking /ml/
on “Ask HN: How can a front-end developer dive into machine learning?”Submitted What Machine Learning Means for Product Development as a story · 4 points
HN discussionI'm taking time off to study ML and keep an ongoing list of curriculum resources, as well as a blog of my day to day, here: http://karlrosaen.com/ml/
Comment linking /ml/
on “How Google Is Remaking Itself for “Machine Learning First””Submitted Expectation Maximization with Coin Flips as a story · 1 points
HN discussionThanks for putting this together. I recommend you check out https://sebastianraschka.com/ the author of Python Machine Learning. He's great at explaining things, wrote the bets intro to ML book IMHO and is a good Twitter follow. I also humbly submit my own guide, from the perspective of how to approach studying it amidst all the resources available: http://karlrosaen.com/ml/
Comment linking /ml/
on “A Curated List of AI and Machine Learning Resources from Around the Web”Submitted Simulating Random Variables with Inverse Transform Sampling as a story · 1 points
HN discussionThis is a major piece of my machine learning self study curriculum: http://karlrosaen.com/ml/ Some links to problem set solutions there
Comment linking /ml/
on “All of Statistics, by Larry Wassserman (2013) [pdf]”Submitted A Learning Sabbatical as a story · 1 points
HN discussionI corresponded with another user here who accomplished this and wrote about it here[] [] http://karlrosaen.com/ml/
Comment linking /ml/
on “Machine Learning with PyTorch and Scikit-Learn”I like this post, but perhaps it'd be more accurate to say that expertise is a necessary but not sufficient condition to teach a subject? I do find that the very best teachers have mastery of the material. On a related note, when I posted this notebook about the sigmoid function to HN http://karlrosaen.com/ml/notebooks/logistic-regression-why-s... it was upvoted to the front page (presumably by non-experts like me)…
Comment linking /ml/notebooks/logistic-regression-why-sigmoid/
on “Why Experts Make Bad Teachers”Depends on what you are most hungry for. For me this past summer it was to have time off to study without interruption, I absolutely loved it. Also have a family, enjoyed having extra time and flexibility. Took a few vacations. http://karlrosaen.com/learning-sabbatical/
Comment linking /learning-sabbatical/
on “Ask HN: What should I plan to do on a 6 month sabbatical?”I was in a strikingly similar position as you at the beginning of this year. In December 2015, I setup a plan to quit my job and take some time to self-learn Artificial Intelligence, when I was accepted into a master's program in Barcelona (UPC's* - assuming it's the same as the one you're considering). This blogpost outlines what my plan and concerns were about the self-taught route: http://cole-maclean.github.io/b…
Comment linking /learning-sabbatical/
on “Ask HN: Master vs. Udacity nanodegree”