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Hi. Hit me up and I'll set you up so you could have an environment that already has pretty much all the libraries installed, where you can track experiments, de

Hi. Hit me up and I'll set you up so you could have an environment that already has pretty much all the libraries installed, where you can track experiments, deploy and invoke models, schedule long running notebooks, collaborate in near real-time on notebooks, have multiple check-points, and automatically parametrize notebooks so you run experiments filling up a form. It's a play version of our internal tool to which we invited around thirty students of one of our colleagues for their ML projects. This way you can concentrate on the actual courses instead of the nightmare of setting things up and the usual ML specific problems. This should speed up your progress, because people lose an ungodly amount of time on these issues. Well, maybe not on course projects, but in real projects they do. I'll also add you to the Slack workspace in case you encounter issues.

s1t5 6y ago
Are you really offering an easy setup to the senior devops person? I'm sure they can figure things out.
- Jugurtha 6y ago
  >Are you really offering an easy setup to the senior devops person? I'm sure they can figure things out. I'm sure a mechanic would figure out their broken car; it just is not ideal to do so everyday on their way to their new job/course. Plus, in this case, it is not only about mechanics (devops). The window jams and doesn't close when it's raining. The fuel the car can fire changes every week. The seats were salvaged from a 1920's car. Seat belts are too tight and thin. The pedals are slippery. The sequence to turn on the car is in their colleague's head, and he's often absent. The tyres start skidding on certain streets. The door handle are the house door's handle and they must transfer them back and forth every time they take the car, and the refrigerant liquid is leaking, but there's a funnel on the dashboard the driver has put an upside down bottle to automate filling canceling the leak. Offering them a car that just works is in no way doubting their competence, but merely a catalyst for the change in state they want to happen. Consider it reducing the activation energy. I gather from your other comment you have a couple of years of experience in machine learning. I suppose with real deadlines and money on the line, with colleagues working on the same project? Can you tell us more about your workflow? How do you deliver value without dealing with jammed windows and leaky reservoirs? Or how do you deal with that? What's lacking? What's getting in your way? Why does the value take so long to reach end-users?

s1t5 6y ago

Are you really offering an easy setup to the senior devops person? I'm sure they can figure things out.

Jugurtha 6y ago
>Are you really offering an easy setup to the senior devops person? I'm sure they can figure things out. I'm sure a mechanic would figure out their broken car; it just is not ideal to do so everyday on their way to their new job/course. Plus, in this case, it is not only about mechanics (devops). The window jams and doesn't close when it's raining. The fuel the car can fire changes every week. The seats were salvaged from a 1920's car. Seat belts are too tight and thin. The pedals are slippery. The sequence to turn on the car is in their colleague's head, and he's often absent. The tyres start skidding on certain streets. The door handle are the house door's handle and they must transfer them back and forth every time they take the car, and the refrigerant liquid is leaking, but there's a funnel on the dashboard the driver has put an upside down bottle to automate filling canceling the leak. Offering them a car that just works is in no way doubting their competence, but merely a catalyst for the change in state they want to happen. Consider it reducing the activation energy. I gather from your other comment you have a couple of years of experience in machine learning. I suppose with real deadlines and money on the line, with colleagues working on the same project? Can you tell us more about your workflow? How do you deliver value without dealing with jammed windows and leaky reservoirs? Or how do you deal with that? What's lacking? What's getting in your way? Why does the value take so long to reach end-users?