Praveen Sridhar psbots

Complete the next task from the plan in docs/start-here.md

Please look at docs/start-here.md and follow the instructions. Your job is to get the next task done. Ultimately, you are the one guiding the work and making sure it meets what it's supposed to do. Chunk the work into small pieces, when it's helpful.

First, review the necessary files, think carefully, review more, and then create a plan to create the next chunk of work. Output your plan for approval by me (the user) before proceeding. Pause after outputting the plan to wait for my input.

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A guide to George Polya's "How to Solve It"

Introduction

George Polya (1887-1985) was a Hungarian mathematician and educator who revolutionized our understanding of problem-solving and teaching. While he made significant contributions to mathematics, his most enduring legacy is his insights into how people learn and solve problems. His 1945 book "How to Solve It" has influenced educators across numerous fields, extending far beyond mathematics.

Polya's Teaching Philosophy

Polya's approach centered on three key principles. First, he championed active learning, believing students learn best by discovering solutions themselves rather than being told answers. Second, he emphasized heuristic thinking - the art of guided discovery and learning from experience, viewing problem-solving as a skill that can be developed through practice. Third, he developed sophisticated questionin

Google Script CRUD

By Ryan Aunur Rassyid

Simply create RESTful API with Google Script and store it to Google SpreadSheet like a Pro.

Interactive Machine Learning

Taught by Brad Knox at the MIT Media Lab in 2014. Course website. Lecture and visiting speaker notes.

Power to the People: The Role of Humans in Interactive Machine Learning by Knox, Cakmak, Kulesza, Amershi, and Lau
A Few Useful Things to Know about Machine Learning by Domingos
Machine Learning that Matters by Wagstaff
Beyond Concise and Colorful: Learning Intelligible Rules by Pazzani et al.
[Designing Games with a Purpose] (https://www.cs.cmu.edu/~biglou/GWAP_CACM.pdf) by von Ahn and Dabbish
[Human Model Evaluation in Interactive Supervised

"A little bit of slope makes up for a lot of y-intercept"

01/13/2012. From a lecture by Professor John Ousterhout at Stanford, class CS140

Here's today's thought for the weekend. A little bit of slope makes up for a lot of Y-intercept.

[Laughter]

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

	#cloud-config

	# Enable automatic package updates and upgrades during cloud-init execution
	package_update: true
	package_upgrade: true

	packages:
	# Security and Hardening
	- ufw
	- fail2ban

	from bitsandbytes.nn.modules import Linear8bitLt, Linear4bit
	from contextlib import contextmanager

	def noop (x=None, args, *kwargs):
	"Do nothing"
	return x

	@contextmanager
	def no_kaiming():
	old_iku = init.kaiming_uniform_

	"""
	client.py - AsyncIO Server using StreamReader and StreamWriter

	This will create 200 client connections to a server running server.py

	It will handshake and run similar to this:

	Server: HELLO
	Client: WORLD