Keeping-Learning

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #android #docker #macos #windows #awesome #vue #pytorch #mcp #openai #open-source

Keeping-Learning

(★ 79)

List of useful resources about Data, AI & Cloud

Keeping-Learning 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

<a href="https://www.buymeacoffee.com/pierpaolo" target="_blank"><img src="https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png" alt="Buy Me A Coffee" style="height: 41px !important;width: 174px !important;box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;-webkit-box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;" ></a> <br>
[![Forks][forks-shield]][forks-url]
[![Stargazers][stars-shield]][stars-url]
[![Issues][issues-shield]][issues-url]
[![LinkedIn][linkedin-shield]][linkedin-url]

# Keeping-Learning
List of useful resources about Data, AI &amp; Cloud

## Tech Blogs
- [Distill](https://distill.pub/)
- [Transformer Circuits Thread](https://transformer-circuits.pub/)
- [Sebastian Raschka](https://sebastianraschka.com/)
- [Neal Lathia](https://nlathia.github.io/)
- [Hacker News](https://news.ycombinator.com/)
- [Data Science Simplified](https://mathdatasimplified.com/)
- [Benn Stancil](http://bennstancil.com/)
- [Brandon Rohrer](https://e2eml.school/blog.html)
- [Andrej Karpathy](http://karpathy.github.io/)
- [Eugene Yan](https://eugeneyan.com/)
- [I am Trusk](http://iamtrask.github.io/)
- [Jeremy Jordan](https://www.jeremyjordan.me/)
- [Jaan Altosaar](https://jaan.io/)
- [Ketan Doshi](https://ketanhdoshi.github.io/index.html)
- [Chris McCormick](https://mccormickml.com/)
- [Daniele Grattarola](https://danielegrattarola.github.io/)
- [Francesco Pochetti](https://francescopochetti.com/)
- [Nick Singh](https://www.nicksingh.com/)
- [Chip Huyen](https://huyenchip.com/) + [resources](https://github.com/chiphuyen/dmls-book/blob/main/resources.md)
- [Chris Albon](https://chrisalbon.com/)
- [luminousmen](https://luminousmen.com/)
- [Patrick Halina](http://patrickhalina.com/)
- [Bnomial](https://today.bnomial.com/)
- [Francesco Zuppichini](https://medium.com/@FrancescoZ)
- [Sebastian Ruder](https://ruder.io/)
- [Will Koehrsen](https://williamkoehrsen.medium.com/)
- [Moez Ali](https://moez-62905.medium.com/)
- [Machine Learning Mastery](https://machinelearningmastery.com/)
- [Daniel Bourke](https://www.mrdbourke.com/)
- [Amit Chaudhary](https://amitness.com/)
- [Confessions of a Data Guy](https://www.confessionsofadataguy.com/)
- [Simone Scardapane](https://www.sscardapane.it/)
- [ByteByteGo](https://bytebytego.com/)
- [Machine learning at scale](https://www.machinelearningatscale.com/)
- [Paepper.com](https://www.paepper.com/blog/)
- [Aidan Cooper](https://www.aidancooper.co.uk/)
- [Beyond the Horizon](https://rajanieshkaushikk.com/)
- [Jay Alammar](https://jalammar.github.io/)
- [Dale On AI](https://daleonai.com/)
- [Eric Jang](https://evjang.com/)
- [Arthur Douillard](https://arthurdouillard.com/)
- [PyImageSearch](https://pyimagesearch.com/)
- [Lewis Cole Blog](https://lewiscoleblog.com/)
- [Bioinformatics and other bits](https://dmnfarrell.github.io/)
- [Roadmaps](https://roadmap.sh/)
- [ML@CMU](https://blog.ml.cmu.edu/)
- [Berkeley Artificial Intelligence Research](https://bair.berkeley.edu/blog/)
- [ChristopherGS](https://christophergs.com/)
- [Yanislav Donchev](https://yannidd.github.io/)
- [Lil'Log](https://lilianweng.github.io/)
- [Kanoki](https://kanoki.org/)
- [Aman Arora’s Blog](https://amaarora.github.io/)
- [Luke Salamone's Blog](https://lukesalamone.github.io/)
- [Joel on Software](https://www.joelonsoftware.com/)
- [MLAbonne](https://mlabonne.github.io/blog/)
- [Setosa](https://setosa.io/ev/)
- [Alex Molas](https://www.alexmolas.com/)
- [The Cloud Girl](https://www.thecloudgirl.dev/)
- [Paul Graham](https://www.paulgraham.com/)
- [BAIR](https://bair.berkeley.edu/blog/)
- [hlfshell](https://hlfshell.ai/)
- [Max Woolf's Blog](https://minimaxir.com/)
- [Sahil Lavingia](https://sahillavingia.com/)
- [Hamel Husain Blog](https://hamel.dev/)
- [Sam Altman](https://blog.samaltman.com/archive)
- [Namanyay Blog](https://nmn.gl/blog/)
- [AI 2027](https://ai-2027.com/)
- [Dario Amodei](https://www.darioamodei.com/)
- [Pete Koomen](https://koomen.dev/)
- [Jaclyn Konzelmann](https://blog.jaclynkonzelmann.com/)
- [Hardik Pandya](https://hvpandya.com/)
- [Jason Spielman](https://jasonspielman.com/)
- [Situational Awareness](https://situational-awareness.ai/)
- [sean goedecke](https://www.seangoedecke.com/)
- [Addy Osmani](https://addyosmani.com/)
- [Signal Pirate (Italiano)](https://pinperepette.github.io/signal.pirate/index.html?t=d)
- [Amplifying AI](https://amplifying.ai/)
- [Bassim Eledath](https://www.bassimeledath.com/)
- [Sahaj Garg](https://sahajgarg.github.io/)
- [Qi Han Wong](https://wongqihan.com/)
- [A Geek's Page](https://wangcong.org/)

## Blogs & Book Summaries
- [Wait But Why](https://waitbutwhy.com/)
- [Melting Asphalt](https://meltingasphalt.com/)
- [fs](https://fs.blog/)
- [More to That](https://moretothat.com/)
- [Stratechery](https://stratechery.com/)
- [Less Wrong](https://www.lesswrong.com/)
- [LIFECLUB](https://lifeclub.org/)
- [Kalani Scarrott](https://kscarrott.com/)
- [Aure's Notes](https://auresnotes.com/)
- [Calvin Rosser](https://calvinrosser.com/)
- [Dean Yeong](https://www.deanyeong.com/)
- [Tyler DeVries](https://tylerdevries.com/)
- [Samuel Thomas Davies](https://www.samuelthomasdavies.com/)
- [What You Will Learn](https://www.whatyouwilllearn.com/)
- [Dan Silvestre](https://dansilvestre.com/)
- [Shepherd](https://shepherd.com/)
- [IVAYLO DURMONSKI](https://durmonski.com/)
- [Matt Swain](https://www.mattswain.com/)
- [Hustle Escape](https://www.hustleescape.com/)
- [BooksConcepts](https://booksconcepts.com/)
- [Graham Mann](https://www.grahammann.net/)
- [Eternalised](https://eternalisedofficial.com/)
- [Dante](https://dantekim.com/)
- [Ness Labs](https://nesslabs.com/)
- [Ali Abdaal](https://aliabdaal.com/book-notes/)
- [To Summarise](https://www.tosummarise.com/)
- [Sameer Bajaj](https://sameerbajaj.com/)
- [Phil Schmid](https://www.philschmid.de/)
- [Calvin French-Owen](https://calv.info/)
- [Delphi Intelligence](https://www.delphiintelligence.io/)
- [Om](https://om.co/)

## Courses
- [Made With ML](https://madewithml.com/)
- [Hugging Face Course](https://huggingface.co/course/chapter0/1?fw=pt)
- [Data Science Topics - Khuyen Tran](https://github.com/khuyentran1401/Data-science)
- [The Hugging Face Deep Reinforcement Learning Class](https://github.com/huggingface/deep-rl-class)
- [The Private AI Series](https://courses.openmined.org/)
- [Improving the way neural networks learn](http://neuralnetworksanddeeplearning.com/chap3.html)
- [Dive into Deep Learning](http://d2l.ai/index.html)
- [Efficient Python Tricks and Tools for Data Scientists](https://khuyentran1401.github.io/Efficient_Python_tricks_and_tools_for_data_scientists/README.html)
- [Deep Learning - Ian Goodfellow](https://www.deeplearningbook.org/)
- [Machine Learning Interviews Book](https://huyenchip.com/ml-interviews-book/)
- [Better Explained](https://betterexplained.com/)
- [Practical Deep Learning](https://course.fast.ai/)
- [Forage - Virtual Internship](https://www.theforage.com/)
- [Amplifyme - Finance Accelerator Simulation](https://amplifyme.com/finance-accelerator)
- [Full Stack Deep Learning](https://fullstackdeeplearning.com/)
- [Roadmap.sh](https://roadmap.sh/)
- [How to Scale Your Model](https://jax-ml.github.io/scaling-book/)
- [Deep Learning - Alfredo Canziani](https://atcold.github.io/NYU-DLSP21/)

## Interactive Explainations
- [Seeing Theory](https://seeing-theory.brown.edu/)
- [A Day in the Life of Americans](https://flowingdata.com/2015/12/15/a-day-in-the-life-of-americans/)
- [R2D3](http://www.r2d3.us/)
- [100+ Data Science & Machine Learning Cheat Sheets](https://www.theinsaneapp.com/2020/12/machine-learning-and-data-science-cheat-sheets-pdf.html)
- [KDimensions](https://kdimensions.com/)
- [Spurious Correlations](https://tylervigen.com/spurious-correlations)
- [MLU Explain](https://mlu-explain.github.io/)
- [Visualize Value](https://visualizevalue.com/)
- [Transformers - FT](https://ig.ft.com/generative-ai/)
- [The Pudding](https://pudding.cool/)

## YouTube
- [Two Minute Papers](https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg)
- [Yannic Kilcher](https://www.youtube.com/yannickilcher)
- [Alfredo Canziani](https://www.youtube.com/channel/UCupQLyNchb9-2Z5lmUOIijw)
- [3Blue1Brown](https://www.youtube.com/c/3blue1brown)
- [Steve Brunton](https://www.youtube.com/c/Eigensteve/featured)
- [Alexander Amini](https://www.youtube.com/user/Zan560/featured)
- [Arxiv Insights](https://www.youtube.com/c/ArxivInsights/featured)
- [Lex Fridman](https://www.youtube.com/c/lexfridman)
- [Serrano.Academy](https://www.youtube.com/c/LuisSerrano)
- [StatQuest with Josh Starmer](https://www.youtube.com/c/joshstarmer)
- [Michael Sugrue](https://www.youtube.com/@dr.michaelsugrue)
- [AI Explained](https://www.youtube.com/@aiexplained-official)

## Cloud
- [AWS Workshops](https://workshops.aws/)
- [Microsoft Azure - Virtual Training Days](https://www.microsoft.com/en-us/trainingdays/azure)
- [A cloud services cheat sheet for AWS, Azure and Google Cloud](https://www.techtarget.com/searchcloudcomputing/feature/A-cloud-services-cheat-sheet-for-AWS-Azure-and-Google-Cloud)

## Time Series Forecasting
- [Time Series Analysis in Python – A Comprehensive Guide with Examples](https://www.machinelearningplus.com/time-series/time-series-analysis-python/)
- [ARIMA Model – Complete Guide to Time Series Forecasting in Python](https://www.machinelearningplus.com/time-series/arima-model-time-series-forecasting-python/)

## Natural Language Processing
- [ODSC Europe 2020 Workshop: Advanced NLP; From Essentials to Deep Transfer Learning](https://github.com/dipanjanS/nlp_workshop_odsc_europe20)

## Career
- [How to waste your career, one comfortable year at a time](https://apoorvagovind.substack.com/p/how-to-waste-your-career-one-comfortable)
- [The pragmatic engineer](https://blog.pragmaticengineer.com/)
    - [Equity 101 for Software Engineers at Big Tech and Startups](https://blog.pragmaticengineer.com/equity-for-software-engineers/)
- [Amazon Leadership Principles](https://www.levels.fyi/blog/amazon-leadership-principles.html)
- [datascienceportfol.io](https://www.datascienceportfol.io/)
- [The Woke Salaryman](https://thewokesalaryman.com/)
- [Kaggle Days](https://kaggledays.com/)
- [Levels.fyi](https://www.levels.fyi/blog/)
- [Sifted](https://sifted.eu/)
- [Awesome Italia Remote](https://github.com/italiaremote/awesome-italia-remote)
- [LinkedIn Sales Navigator](https://www.linkedin.com/sales/ssi)
- [Funded & Hiring](https://fundedandhiring.com/)
- [The Mentoring Club](https://www.mentoring-club.com/the-mentors/search-mentor)

## Interesting concepts
- [Aggregation Theory](https://stratechery.com/2015/aggregation-theory/)
- [Principles - Ray Dalio](https://www.principles.com/)
- [Overemployed](https://overemployed.com/)
- [Can we have prosperity without growth?](https://www.newyorker.com/magazine/2020/02/10/can-we-have-prosperity-without-growth)
- [Shepherd - Discover the best books](https://shepherd.com/)
- [Welcome to the Experience Economy](https://hbr.org/1998/07/welcome-to-the-experience-economy)
- [A not so gentle intro to web3](https://www.kooslooijesteijn.net/blog/web3)
- [Minimalism](https://jamesclear.com/minimalism)
- [Longtermism](https://aeon.co/essays/why-longtermism-is-the-worlds-most-dangerous-secular-credo)
- [Never Too Small](https://www.nevertoosmall.com/)
- [Urbex](https://www.urbex.nl/)
- [Levels.io](https://levels.io/blog/)
- [Indie Development - Startup Bootstrapping](https://www.wired.com/2014/08/12-startups-in-12-months/)
- [Art of Mainliness](https://www.artofmanliness.com/)
- [Entrepreneurship Through Acquisition (ETA)](https://knowledge.insead.edu/entrepreneurship/buy-then-build-be-entrepreneur-without-start)
- [The Techno-Optimist Manifesto](https://a16z.com/the-techno-optimist-manifesto/)
- [Acquired- Every company has a story.](https://www.acquired.fm/)

## Personal Finance
- [Retire In Progress](https://retireinprogress.com/)
- [Accidentally Retired](https://accidentallyretired.com/)
- [Portfolio Charts](https://portfoliocharts.com/)
- [Reddit Personal Finance](https://www.reddit.com/r/personalfinance/wiki/index/)
- [JustETF](https://www.justetf.com/en/)
- [Morning Star](https://www.morningstar.com/)
- [ETF.com](https://www.etf.com/etfanalytics/etf-finder/)
- [JL Collins](https://jlcollinsnh.com/)
- [Mr Money Mustache](https://www.mrmoneymustache.com/)
- [Mustachian Post Discussion Forum](https://forum.mustachianpost.com/)
- [Early Retirement Extreme](http://earlyretirementextreme.com/)
- [Investopedia](https://www.investopedia.com/)
- [Global Property Guide](https://www.globalpropertyguide.com/)
- [Optimized Portfolio](https://www.optimizedportfolio.com/)
- [Lazy Portfolio ETF](http://www.lazyportfolioetf.com/)
- [BogleHeads](https://www.bogleheads.org/index.php)
- [Portfolio Visualizer (with Backtesting)](https://www.portfoliovisualizer.com/)
- [Wise Money (EU Investing)](https://www.bankeronwheels.com/)
- [Index Fund Investor (EU Investing)](https://indexfundinvestor.eu/)
- [Street of Walls](https://www.streetofwalls.com/)
- [Of Dollars and Data](https://ofdollarsanddata.com/)
- [Monevator](https://monevator.com/)

## Authors
- James Clear
- Naval Ravikant
- Carlo Rovelli
- Judea Pearl
- Franz Kafka
- Cormac McCarthy
- Carlos Ruiz Zafón
- Italo Calvino
- George Orwell
- Aldous Huxley
- Ray Bradbury
- Hannah Fry
- Mark Manson
- Stephen Hawking
- Neil deGrasse Tyson
- Matthew Syed
- Voltaire
- Cal Newport
- Ryan Holiday
- Yuval Noah Harari
- Tim Ferriss
- Richard Dawkins
- Daniel Kahneman
- Andrew D. Huberman
- Steve Cutts
- Alessandro Barbero
- Brian Greene
- Johnny Harris
- Ray Dalio
- Il Testimone - Piff
- Umberto Galimberti
- Matt Parker
- Adam Kucharski
- Robert Greene
- Nassim Taleb
- Simon Sinek
- Adam Grant
- Alan W Watts
- Richard P. Feynman
- Michael Sugrue
- Jim Rohn
- Nick Bostrom
- Seth Godin
- Peter Drucker
- [Jim Donovan](https://www.law.virginia.edu/faculty/adjunct-profile/jd3tr/2140720)
- Studio Ghibli
- [Salvatore Sanfilippo](http://invece.org/)

## Products
- [Product Hunt](https://www.producthunt.com/)
- [Gumroad](https://gumroad.com/)
- [RapidAPI](https://rapidapi.com/)

## Fun
- [XKCD](https://xkcd.com/)
- [Dilbert](https://dilbert.com/)
- [SMBC](https://www.smbc-comics.com/)
- [Vsauce](https://www.youtube.com/@Vsauce/featured)
- [Manu Cornet](https://ma.nu/)

[contributors-shield]: https://img.shields.io/github/contributors/pierpaolo28/Keeping-Learning.svg?style=flat-square
[contributors-url]: https://github.com/pierpaolo28/Keeping-Learning/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/pierpaolo28/Keeping-Learning.svg?style=flat-square
[forks-url]: https://github.com/pierpaolo28/Keeping-Learning/network/members
[stars-shield]: https://img.shields.io/github/stars/pierpaolo28/Keeping-Learning.svg?style=flat-square
[stars-url]: https://github.com/pierpaolo28/Keeping-Learning/stargazers
[issues-shield]: https://img.shields.io/github/issues/pierpaolo28/Keeping-Learning.svg?style=flat-square
[issues-url]: https://github.com/pierpaolo28/Keeping-Learning/issues
[license-shield]: https://img.shields.io/github/license/pierpaolo28/Keeping-Learning.svg?style=flat-square
[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=flat-square&logo=linkedin&colorB=555
[linkedin-url]: https://www.linkedin.com/in/pierpaolo28/

Keeping-Learning

Keeping-Learning 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Keeping-Learning

Keeping-Learning 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README