5 ms·

So many ML/AI courses out there, it's amazing. Wondering if those ML/AI specialists can't find themselves a job and start writing courses -.-

by Keloo 8y ago

jonwachob91 8y ago
There are a lot of courses about almost every topic of importance. Have you ever looked at the number of books that teach something as simple as mx+b? The number of courses that teach about the different planets in the solar system? The number of courses that teach about Shakespeare? Lots of people learn a lot of different ways. The more courses available for a single topic increases the likelihood that a learner will find a course that matches their learning style. Writing courses is also a great way for someone to internally reinforce what they learned, and expose what they need to know more about.
- Keloo 8y ago
  I'm not complaining or attacking in any way the authors, it's very cool to see a lot of material on any subject. Yes, I googled about other subjects as well. Sometimes I'm very surprised how many tutorials and materials is out there, even on very narrow topics. In the university ages I tried to build a self made telescope. I found a lot of tutorials and books on the subject, event how to create self-made parabolic mirrors, Internet is f*kin awesome -.- I just wondered if people with good AI/ML knowledge can find jobs.
ujal 8y ago
There are now more ML related jobs on stackoverflow than AngularJS.
- mlthoughts2018 8y ago
  This is likely more about the faddishness of employer choices in front-end frameworks. Overall, web development & front-end jobs dwarf machine learning jobs on Stack Overflow.
  - ujal 8y ago
    ~400 (Machine Learning) vs ~900 (Frontend). Apparently 30% of Web Devs have < 5 years experience. Time to start specializing in some other domain.
mlthoughts2018 8y ago
There is some truth to this. Many jobs in machine learning are all bark and no bite. The company may even have created a machine learning team solely out of hype, and just equivocates machine learning with making d3.js visualizations or maintaining Spark jobs that just tabulate summary statistics. Yet these jobs will still require you to do outrageous things during the interviews, like deriving the full backpropagation formulas for a 3-layer MLP network, or explain some esoteric issue with vanishing gradients or offer from memory a bunch of time complexity info about the SVM fitting algorithm, etc. They require exponentially more impressive knowledge about machine learning in the interview than what the job experience will actually offer once you’re hired. Most positions will fundamentally make your skills atrophy. As a result, a lot of people resort to writing blog posts or courses about their experiences implementing toy models, studying trade-offs between approaches, analyzing publicly available data sets. In part it’s to help pad a resume and look relevant for getting hired. In part it’s to build or exercise skills that the person’s day job won’t actually enable them to use. And in part to try to get your name out there and associated with a hyped up field.
- thraway180306 8y ago
  I'm not questioning your analysis of behavioral psychology of the herd, but this particular example, prof. Hal Daume of University of Maryland and Microsoft Research has been long associated with the field, though not particularly neural networks, since way before the current hype.
  - mlthoughts2018 8y ago
    I totally agree for this specific link. Many well-respected and established people in machine learning write course materials. I was only responding to the parent comment regarding why random blog posts, articles, and course materials seem so widespread and constant in machine learning overall.
- p1esk 8y ago
  It's the second time I see you whine about job interviews. If you're still bitter more than a few days after the rejection, you better start attitude adjustment process. Learn from your mistakes and move on.

So many ML/AI courses out there, it's amazing. Wondering if those ML/AI specialists can't find themselves a job and start writing courses -.-

by Keloo 8y ago

So many ML/AI courses out there, it's amazing. Wondering if those ML/AI specialists can't find themselves a job and start writing courses -.-

jonwachob91 8y ago

There are a lot of courses about almost every topic of importance. Have you ever looked at the number of books that teach something as simple as mx+b? The number of courses that teach about the different planets in the solar system? The number of courses that teach about Shakespeare? Lots of people learn a lot of different ways. The more courses available for a single topic increases the likelihood that a learner will find a course that matches their learning style. Writing courses is also a great way for someone to internally reinforce what they learned, and expose what they need to know more about.

Keloo 8y ago
I'm not complaining or attacking in any way the authors, it's very cool to see a lot of material on any subject. Yes, I googled about other subjects as well. Sometimes I'm very surprised how many tutorials and materials is out there, even on very narrow topics. In the university ages I tried to build a self made telescope. I found a lot of tutorials and books on the subject, event how to create self-made parabolic mirrors, Internet is f*kin awesome -.- I just wondered if people with good AI/ML knowledge can find jobs.

ujal 8y ago

There are now more ML related jobs on stackoverflow than AngularJS.

mlthoughts2018 8y ago
This is likely more about the faddishness of employer choices in front-end frameworks. Overall, web development & front-end jobs dwarf machine learning jobs on Stack Overflow.
- ujal 8y ago
  ~400 (Machine Learning) vs ~900 (Frontend). Apparently 30% of Web Devs have < 5 years experience. Time to start specializing in some other domain.

mlthoughts2018 8y ago

There is some truth to this. Many jobs in machine learning are all bark and no bite. The company may even have created a machine learning team solely out of hype, and just equivocates machine learning with making d3.js visualizations or maintaining Spark jobs that just tabulate summary statistics. Yet these jobs will still require you to do outrageous things during the interviews, like deriving the full backpropagation formulas for a 3-layer MLP network, or explain some esoteric issue with vanishing gradients or offer from memory a bunch of time complexity info about the SVM fitting algorithm, etc. They require exponentially more impressive knowledge about machine learning in the interview than what the job experience will actually offer once you’re hired. Most positions will fundamentally make your skills atrophy. As a result, a lot of people resort to writing blog posts or courses about their experiences implementing toy models, studying trade-offs between approaches, analyzing publicly available data sets. In part it’s to help pad a resume and look relevant for getting hired. In part it’s to build or exercise skills that the person’s day job won’t actually enable them to use. And in part to try to get your name out there and associated with a hyped up field.

thraway180306 8y ago
I'm not questioning your analysis of behavioral psychology of the herd, but this particular example, prof. Hal Daume of University of Maryland and Microsoft Research has been long associated with the field, though not particularly neural networks, since way before the current hype.
- mlthoughts2018 8y ago
  I totally agree for this specific link. Many well-respected and established people in machine learning write course materials. I was only responding to the parent comment regarding why random blog posts, articles, and course materials seem so widespread and constant in machine learning overall.
p1esk 8y ago
It's the second time I see you whine about job interviews. If you're still bitter more than a few days after the rejection, you better start attitude adjustment process. Learn from your mistakes and move on.