543 karma · joined November 13, 2014
Integrating with AI and machine learning for over 20 years.
Need help with either of those sticky problems, send me an email.
email: andrewcprock [at] gmail.com
This is nothing like a 401k.
Spent years proving 1+1=2, and delved deep into the intersection between reason and philosophy.
In our district, once you qualify for a pension you get 2% of your terminal salary per year you work. If you work for 40 years, you will be paid 80% of your last year's salary.
You'll have to learn to live on a low salary for the first 5-10 years of your career. But pensions are paid based on your terminal salary, not your average salary. For elementary school teachers in my district the terminal salary was in excess of $100k as of 2017.
I find Yuval's work to be more digestible, in part due to better writing, and in part due to less pretense.
I would also suggest Susan RiceBauer's The History of Ancient Civilizations, Jack Weatherford's Genghis Khan and the making is the modern world, and Lars Brownworths Lost to the West: the forgotten Byzantine Empire.
The key innovation of machine learning was formalizing the process, not the specific algorithm. Mitchell's book does a superb job of illuminating that process across a diverse set of approaches.
Thin client, fat client, thin client, fat client, ...
And again, you do need calculus to do statistics. Maybe you're saying: "If someone does the calculus part for you, you can use this one equation to solve this one question."
That's akin to calling a spelling test literature. You are confusing practice with knowledge. Anyone can bang on a drum. That does not make them a drummer.
Many high schools offer mathematics through Calculus. You can typically get to that course at the regular high school pace if you were able to take Algebra 1 in 8th grade. If you were ahead of that pace, then you are typically left with few options outside of taking college courses.
Statistics is more complicated philosophically and computationally, as you do in fact need calculus to do statistics, since a fundamental tool of statistics is evaluating the area under a variety of distribution curves.
What is being recommend is that no one take calculus in high school.
Both of these ideas are bad, but only one of them informs the California Math Framework.
Both statements can be true, but neither negates the utility of the activity.
You can make something, and
You can engineer something.
If what you are building is a complex distributed software system, if you are not aware of algorithms and the implications they have on the system, then you are not engineering, you are just making. And whatever it is you are making is going to fail a lot sooner that if you were aware of the algorithms and the implications.
What does that say about the district?