Marton Trencseni mtrencseni

What problems to solve
Time investment: 5 mins
http://genius.cat-v.org/richard-feynman/writtings/letters/problems

Bill Gates' Favorite Business Book
Time investment: 30 mins
The Xerox chapter can be downloaded, it's kind of interesting.
http://online.wsj.com/articles/bill-gatess-favorite-business-book-1405088228

Trade-offs of Microservices

How to measure anything
http://lesswrong.com/lw/i8n/how_to_measure_anything/

F1 metrics http://f1metrics.wordpress.com/

Technical Analysis http://zerodha.com/varsity/module/technical-analysis/

	from airflow import DAG
	from lib.dag_presto_ds_insert import dag_presto_ds_insert
	from airflow.operators import PrestoOperator, DsPartitionSensor
	from datetime import date, datetime, timedelta

	def dag_growth_accounting(
	base_table_name,
	start_date,
	events_table,
	days=1,

	import torch
	dim = 2
	A = torch.rand(dim, dim, requires_grad=False)
	b = torch.rand(dim, 1, requires_grad=False)
	x = torch.autograd.Variable(torch.rand(dim, 1), requires_grad=True)

	import torch
	dim = 2
	A = torch.rand(dim, dim, requires_grad=False)
	b = torch.rand(dim, 1, requires_grad=False)
	x = torch.autograd.Variable(torch.rand(dim, 1), requires_grad=True)
	stop_loss = 1e-2
	step_size = stop_loss / 3.0
	print('Loss before: %s' % (torch.norm(torch.matmul(A, x) - b)))
	for i in range(1000*1000):
	Δ = torch.matmul(A, x) - b

	Δ = torch.matmul(A, x) - b
	L = torch.norm(Δ, p=2)