The Alignment Problem by Brian Christian. It sets up the complexity of ML field and human values. It paints a picture to the readers on the future we navigate.
This could be a fit for serverless frameworks. AWS Lambda and similar frameworks can help you with such usecases. Take a look at Firecracker VM and microVM space.
I have nothing to offer. There are 7 billion ways people may respond to grief. There is no template. Don't try to fit your behavior on "how to grieve" template especially from an internet forum, in case you didnt agree to their response. Please go with the your flow. Your answer to your question could be just a rewording "This is how I grieve, and its normal".
This is because people have different types of skins, and even for the same skin - depending upon time of day it could be soft or rough. Also the shaving cream/oil matters for the shave. Thats the reason why Trundle advises to try different blades. Whats good for one, might be bad for another person. IMHO most important factor which most people overlook is actually the angle of the shave. They blame it on the blade, instead of correcting their technique.
I would like to sound a caution, if you are using this data for any kind of salary negotiation.
- LCA for a candidate is filed only once per company as long as he is in the same job role. Factos like getting promoted to Senior X, recent pay-hikes would not get reflected in LCA.
- Wage listed may not include bonus, and other compensation. So dont leave money on the table while negotiating. Crosscheck with glassdoor.
- Companies also go through frequent job title changes, so it is possible you might miss more dataset hidden in other job titles.
- When you are looking for wage related idea, only latest year matters.
- Some people have mentioned earlier that H1B have 10-20% less salary. My personal experience says otherwise. There is always bound to be variation even among non H1B.
Finally
- I am not a lawyer, and none of it are legal or professional advice.
which goes into real life architecture of various services and gives behind-the-scene look into cloud and non-cloud architecture, and why they chose to use certain tools or technologies.
Core concepts in domains like virtualization, networking, authentication, scalability are the same whether you do it in your own data center or cloud.
My advice is to strengthen yourself in core concepts.
I flew every week for last 3 years. So here are my truths from trenches
- Avoid seats in the middle. Period. Exception - exit row or front row seats
- Select seats which do not have seats in front
- Do careful consideration before taking emergency exit seats. The door is more than 50 pounds. You need to unlatch it , twist-turn to get the door inside or throw it out.
- Do not take seats beyond the half way of the plane. The more you go behind, more you hear engine noise and longer it takes to disembark
- Avoid seats near toilets. You need to put up with stink or people standing in your legroom
- Take aisle seats if the wheels-2-wheels time is more than 3 hours
- For frequent flyers - note down the sun direction if you are taking window seat. It will help you choose left window seat or right window seat. You do not want to face the sun all the way during the flight. You selected window seat for a view, it is stupid to close down the windows.
- If flying red eye, choose window seat because you can rest your head against the window.