Have you had a look at https://nnfs.io/ ? I bought the book and am gearing up to start working through it, I would be interested to know your thoughts. Generally I want to chart a personal curriculum from data engineer to practical application of modern AI to real business problems.
During a period where there is a perceived shortage of new devs, existing dev teams still have to meet deadlines and move the ball, this forces streamlining of processes and thus reduces the immediate need for new team members. If someone on my team leaves and I need to back-fill engineering time on a process or app, and I can't back-fill quickly, what other choice do I have other than to reassess the entire process and change it so that it requires less commitment moving forward?
My first thought was similar. Although those questions are appropriate for teams that work on search problems that are deeper than: "just query postgres".
The best part of this is that you have to drive a Tesla 400k+ miles to totally offset the carbon it takes to manufacturer the vehicle and to generate the electricity to operate it.
You probably have to drive this hummer 800k+ miles to offset the carbon to manufacture and operate.
His family became wealthy during apartheid, they were beneficiaries of state sponsored racism, I'd say he is at least indifferent to it as long as he is not suffering any consequences.
I'm hoping the same. Regarding 401k please remember that employer matches do not count towards the contribution limit, always calculate your deduction so that you max it out without the employer match. The employer match is the cherry on top.