Manikandan Sivanesan` manisnesan

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

Topics	Curated/Authored By	Link
Intro	elipapa	https://gist.github.com/elipapa/147ffde1694626d63976480ef95001f7
Baseline Recommender System in PyTorch	Eugene Yan	https://eugeneyan.com/writing/recommender-systems-baseline-pytorch/
Basics, Alternating Least Square(ALS), Collaborative Filtering, Youtube engine, Movie Recommendations, Companies, Recsys, Bandits, Frameworks, Evaluation	Pratik Bhavsar	https://www.notion.so/Recommendation-a97d984c25e148c6a83001f0116316e4
RecSys	Eugene Yan	https://eugeneyan.com/writing/recsys2020/
Overview	tranctan	https://gist.github.com/tranctan/6706e21ea0efacdb07247fa09a5282a4
MultiModal	Ted Dunning	https://www.slideshare.net/tdunning/building-multimodal-recommendation-engines-using-search-engines

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Linux

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gvim doesn't resize:
- edit ~/.bashrc
- export GVIM_ENABLE_WAYLAND=true
Change MAC Address: macchange -r [interface]. For example: macchange -r wlp3s0
Display max supported RAM: dmidecode --type 16

A good way to get a taste of Swift for Tensorflow language and tools is to set it up with Jupyter with the fastai Swift notebooks. I wanted a quick setup, which the Mac install experience currently not, so instead I installed the release binaries in a Ubuntu container via Docker. The setup process for this scenario is not well documented, so here it is for you / future me.

What we're about to do is install the S4TF 0.4 release and the fastai v3 Swift notebooks on Ubuntu 18.04. Generally we follow the swift-jupyter docker file, but install cpu-only release versions of the packages.

Below are some of the references I looked at:

Rationale for S4TF and background reading

https://github.com/tensorflow/swift/blob/master/docs/WhySwiftForTensorFlow.md https://github.com/tensorflow/swift/blob/master/docs/DifferentiableFunctions.md

JBoss

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Set JAVA_OPTS: /etc/default/jboss-eap.conf

Properties

Modified Accented Characters on REST calls: if your REST calls containing accented characters are being modified, add the following to your standalone-full.xml:

	General principles for good URI design:

	Don't use query parameters to alter state
	Don't use mixed-case paths if you can help it; lowercase is best
	Don't use implementation-specific extensions in your URIs (.php, .py, .pl, etc.)
	Don't fall into RPC with your URIs
	Do limit your URI space as much as possible
	Do keep path segments short
	Do prefer either /resource or /resource/; create 301 redirects from the one you don't use
	Do use query parameters for sub-selection of a resource; i.e. pagination, search queries

	from fastai.vision import *
	from fastai.script import *
	from torch import nn
	from fastai.metrics import top_k_accuracy

	path = untar_data(URLs.CIFAR)
	data = ImageDataBunch.from_folder(path, valid='test')

	class block(nn.Module):
	def __init__(self, n_in, n_out, two_d=True):