Como Pensar
Ler e entender um pouco desse artigo. https://wiki.c2.com/?FeynmanAlgorithm
- Reconhecer como você pensa
- Descrever métodos que você usa para pensar
- Entender métodos diferentes de pensar
- Fazer perguntas sobre tudo(incluindo sobre perguntas)
| /** | |
| * @copyright Copyrights 2010 ZRECommerce. | |
| * @licence GPL v3 or higher. See http://www.gnu.org/licenses/gpl.html | |
| */ | |
| (function($){ | |
| $.fn.tableSort = function(settings) { | |
| var config = { | |
| 'pageIndex' : 1, // What page to request | |
| 'rowCount' : 30, // How may results per page | |
| 'sort' : null, // Sort by this column |
Ler e entender um pouco desse artigo. https://wiki.c2.com/?FeynmanAlgorithm
| import speech_recognition as sr | |
| """Make some requests to OpenAI's chatbot""" | |
| import time | |
| import os | |
| from playwright.sync_api import sync_playwright | |
| PLAY = sync_playwright().start() | |
| BROWSER = PLAY.chromium.launch_persistent_context( |
| import SwiftUI | |
| import enum Accelerate.vDSP | |
| struct AnimatableVector: VectorArithmetic { | |
| static var zero = AnimatableVector(values: [0.0]) | |
| static func + (lhs: AnimatableVector, rhs: AnimatableVector) -> AnimatableVector { | |
| let count = min(lhs.values.count, rhs.values.count) | |
| return AnimatableVector(values: vDSP.add(lhs.values[0..<count], rhs.values[0..<count])) | |
| } |
Hardware:
OS:
>>> docker exec -it CONTAINERID /bin/sh
/app # telnet
/bin/sh: telnet: not found
/app # apk update
fetch http://dl-cdn.alpinelinux.org/alpine/v3.7/main/x86_64/APKINDEX.tar.gz
fetch http://dl-cdn.alpinelinux.org/alpine/v3.7/community/x86_64/APKINDEX.tar.gz
v3.7.0-243-gf26e75a186 [http://dl-cdn.alpinelinux.org/alpine/v3.7/main]
v3.7.0-229-g087f28e29d [http://dl-cdn.alpinelinux.org/alpine/v3.7/community]
| --- Actions --- | |
| $Copy <M-C> | |
| $Cut <M-X> <S-Del> | |
| $Delete <Del> <BS> <M-BS> | |
| $LRU | |
| $Paste <M-V> | |
| $Redo <M-S-Z> <A-S-BS> | |
| $SearchWeb <A-S-G> | |
| $SelectAll <M-A> | |
| $Undo <M-Z> |
type: PIN
Consumer key: 3nVuSoBZnx6U4vzUxf5w
Consumer secret: Bcs59EFbbsdF6Sl9Ng71smgStWEGwXXKSjYvPVt7qys
type: PIN
Consumer key: IQKbtAYlXLripLGPWd0HUA
Note: This is an update of Will Haley's excellent post to use APFS instead of CoreStorage.
The script can't read the file containing the password on the USB thumb drive. When formatted
as FAT32 as described below, the user/group of the file is unknown/unknown. But I also tried formatting the USB thumb drive in HFS+, unchecking "Ignore permissions on this volume" and changing the file owner to root:wheel. The file is still not readable to the boot process. Probably something to do with new security restrictions in Catalina. A script running as root reading data from a thumb drive? Makes sense.
This book is all about patterns for doing ML. It's broken up into several key parts, building and serving. Both of these are intertwined so it makes sense to read through the whole thing, there are very many good pieces of advice from seasoned professionals. The parts you can safely ignore relate to anything where they specifically use GCP. The other issue with the book it it's very heavily focused on deep learning cases. Not all modeling problems require these. Regardless, let's dive in. I've included the stuff that was relevant to me in the notes.