├── CONTRIBUTING.md ├── LICENSE ├── README.md └── parse_blogs.py /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | Contribution Guide 2 | 3 | Have a personal blog that you would like to share? Feel free to open a pull request (PR)! 😄 4 | 5 | Thank you for contributing! 🙇‍♂️ -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 Eugene Yan 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | [![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](./CONTRIBUTING.md) [![HitCount](https://hits.dwyl.com/AlexMolas/ml-blogs.svg?style=flat-square)](http://hits.dwyl.com/AlexMolas/ml-blogs) 2 | 3 | A curated list of personal machine learning and data science blogs. 4 | 5 | To add your blog feel free to open a PR. If you don't feel to open a PR feel free to add your blog in this [spreadsheet](https://docs.google.com/spreadsheets/d/1H9ceAbEkSvtzg8A2x0BkI44qJw3Cq0rPdnCihGMn8rU/edit) and I'll add it in the repo when I have time! 6 | 7 | # List of blogs 8 | * **Author** : Alex Molas 9 | * **URL** : [https://www.amolas.dev/blog](https://www.amolas.dev/blog) 10 | * **Description** : Personal blog about machine learning, maths, and other tech topics. 11 | --- 12 | * **Author** : Amit Chaudhary 13 | * **URL** : [https://amitnes.com](https://amitnes.com) 14 | * **Description** : Drawings on machine learning concepts 15 | --- 16 | * **Author** : Andis Arietta 17 | * **URL** : [https://www.azandisresearch.com](https://www.azandisresearch.com) 18 | * **Description** : Ecological and molecular data science 19 | --- 20 | * **Author** : Andrej Karpathy 21 | * **URL** : [http://karpathy.github.io/](http://karpathy.github.io/) 22 | * **Description** : Neural networks 23 | --- 24 | * **Author** : Andrew Musselman 25 | * **URL** : [https://adversariallearning.com](https://adversariallearning.com) 26 | * **Description** : Data science podcast 27 | --- 28 | * **Author** : Ben Recht 29 | * **URL** : [http://www.argmin.net/about/](http://www.argmin.net/about/) 30 | * **Description** : Musings on systems, information, learning, and optimization 31 | --- 32 | * **Author** : Chip Huyen 33 | * **URL** : [https://www.huyenchip.com](https://www.huyenchip.com) 34 | * **Description** : Blog about real-time machine learning in production and other data science topics. 35 | --- 36 | * **Author** : Chris Albon 37 | * **URL** : [https://machinelearningflashcards.com/](https://machinelearningflashcards.com/) 38 | * **Description** : Flashcard with ML concepts 39 | --- 40 | * **Author** : Emin Orhan 41 | * **URL** : [https://severelytheoretical.wordpress.com/](https://severelytheoretical.wordpress.com/) 42 | * **Description** : machine learning, computational neuroscience, cognitive science 43 | --- 44 | * **Author** : Emir Uz 45 | * **URL** : [https://emiruz.com](https://emiruz.com) 46 | * **Description** : I do research commercially, mostly by applying maths, stats and comp. sci. 47 | --- 48 | * **Author** : Eric Jang 49 | * **URL** : [https://evjang.com/](https://evjang.com/) 50 | * **Description** : nan 51 | --- 52 | * **Author** : Erik Bernhardsson 53 | * **URL** : [https://erikbern.com/](https://erikbern.com/) 54 | * **Description** : Management, cloud, software 55 | --- 56 | * **Author** : Ethan Rosenthal 57 | * **URL** : [https://www.ethanrosenthal.com](https://www.ethanrosenthal.com) 58 | * **Description** : Blog about data, science, etc. 59 | --- 60 | * **Author** : Eugene Yan 61 | * **URL** : [https://www.eugeneyan.com](https://www.eugeneyan.com) 62 | * **Description** : Design, build, and operate machine learning systems that serve customers at scale 63 | --- 64 | * **Author** : Eugene Yan 65 | * **URL** : [https://applyingml.com/](https://applyingml.com/) 66 | * **Description** : List of ML resources. 67 | --- 68 | * **Author** : Georg Meyer 69 | * **URL** : [https://georgmeyer.ch/](https://georgmeyer.ch/) 70 | * **Description** : nan 71 | --- 72 | * **Author** : Gertjan Verhoeven 73 | * **URL** : [https://gsverhoeven.github.io/](https://gsverhoeven.github.io/) 74 | * **Description** : Machine learning 75 | --- 76 | * **Author** : Gregory Gundersen 77 | * **URL** : [http://gregorygundersen.com/](http://gregorygundersen.com/) 78 | * **Description** : Maths and ML 79 | --- 80 | * **Author** : Jacopo Tagliabue 81 | * **URL** : [https://jacopotagliabue.it/](https://jacopotagliabue.it/) 82 | * **Description** : RecSys, MLOps. 83 | --- 84 | * **Author** : Jason 85 | * **URL** : [https://jasmcole.com/](https://jasmcole.com/) 86 | * **Description** : Maths, physics, stats. 87 | --- 88 | * **Author** : Jay Alammar 89 | * **URL** : [http://jalammar.github.io/](http://jalammar.github.io/) 90 | * **Description** : Visualizing machine learning one concept at a time. 91 | --- 92 | * **Author** : Jay Mody 93 | * **URL** : [https://jaykmody.com/](https://jaykmody.com/) 94 | * **Description** : Machine learning, maths 95 | --- 96 | * **Author** : Jenna Jordan 97 | * **URL** : [https://jennajordan.me/](https://jennajordan.me/) 98 | * **Description** : I do data stuff with python + SQL. Learned to code at library school. Knitter. Dog mom. Nerdy for sci-fi/fantasy, board games, and well-wrangled data. 99 | --- 100 | * **Author** : Jeremy Jordan 101 | * **URL** : [https://www.jeremyjordan.me/](https://www.jeremyjordan.me/) 102 | * **Description** : nan 103 | --- 104 | * **Author** : Jesper Dramsch 105 | * **URL** : [https://dramsch.net/articles](https://dramsch.net/articles) 106 | * **Description** : Personal blog about ML, Python, and data. And of course random stuff that catches my attention. 107 | --- 108 | * **Author** : Jesper Dramsch 109 | * **URL** : [https://dramsch.net/newsletter ](https://dramsch.net/newsletter ) 110 | * **Description** : Weekly newsletter sharing awesome things I found in ML, data viz, and on the internet + personal updates. 111 | --- 112 | * **Author** : Jesse Mostipak 113 | * **URL** : [https://weightedtangents.substack.com/](https://weightedtangents.substack.com/) 114 | * **Description** : my thoughts and experiences around going to school for 3D character animation and the intersections with things like generative models and my career experiences in data science + ML 115 | --- 116 | * **Author** : Joe Lucas 117 | * **URL** : [https://josephtlucas.github.io/blog/intro.html](https://josephtlucas.github.io/blog/intro.html) 118 | * **Description** : nan 119 | --- 120 | * **Author** : Jonathan Carroll 121 | * **URL** : [https://jcarroll.com.au/](https://jcarroll.com.au/) 122 | * **Description** : nan 123 | --- 124 | * **Author** : Julia Silge 125 | * **URL** : [https://juliasilge.com/blog/](https://juliasilge.com/blog/) 126 | * **Description** : Machine learning, text analysis, and more 127 | --- 128 | * **Author** : Julien Jerphanion 129 | * **URL** : [https://jjerphan.xyz/](https://jjerphan.xyz/) 130 | * **Description** : software and mathematics 131 | --- 132 | * **Author** : Lilian Weng 133 | * **URL** : [https://lilianweng.github.io](https://lilianweng.github.io) 134 | * **Description** : Maths behind ML and DL 135 | --- 136 | * **Author** : Lior Sinai 137 | * **URL** : [https://liorsinai.github.io/](https://liorsinai.github.io/) 138 | * **Description** : Musings on mathematics, coding and physics. 139 | --- 140 | * **Author** : Lucy 141 | * **URL** : [https://lucytalksdata.com/](https://lucytalksdata.com/) 142 | * **Description** : Data science in the broadest sense of the word 143 | --- 144 | * **Author** : Luke Metz 145 | * **URL** : [http://lukemetz.com/](http://lukemetz.com/) 146 | * **Description** : Machine Learning, Robotics, Making 147 | --- 148 | * **Author** : Martina Pugliese 149 | * **URL** : [https://doodlingdata.substack.com/](https://doodlingdata.substack.com/) 150 | * **Description** : I hand-draw data visualisations (a Substack) 151 | --- 152 | * **Author** : Max Halford 153 | * **URL** : [https://maxhalford.github.io/](https://maxhalford.github.io/) 154 | * **Description** : NLP, real-time machine learning 155 | --- 156 | * **Author** : Mohammad Aflah Khan 157 | * **URL** : [https://aflah02.github.io/](https://aflah02.github.io/) 158 | * **Description** : nan 159 | --- 160 | * **Author** : Neal Lathia 161 | * **URL** : [https://nlathia.github.io/about/](https://nlathia.github.io/about/) 162 | * **Description** : nan 163 | --- 164 | * **Author** : Nicolo Giso 165 | * **URL** : [https://www.nicologiso.com/](https://www.nicologiso.com/) 166 | * **Description** : Python and Data Science 167 | --- 168 | * **Author** : Peter Baumgartner 169 | * **URL** : [https://www.peterbaumgartner.com/blog](https://www.peterbaumgartner.com/blog) 170 | * **Description** : Personal blog, focused on NLP, ML, general data science, metawork, whatever i'm thinking of. 171 | --- 172 | * **Author** : Randy Au 173 | * **URL** : [https://counting.substack.com/](https://counting.substack.com/) 174 | * **Description** : Blog about the less sexy things around working with data 175 | --- 176 | * **Author** : Ravin Kumar 177 | * **URL** : [https://ravinkumar.com/](https://ravinkumar.com/) 178 | * **Description** : Bayesian statistics. Open source. Data Science. 179 | --- 180 | * **Author** : Rocco Panella 181 | * **URL** : [https://paloblancogames.itch.io/](https://paloblancogames.itch.io/) 182 | * **Description** : Video Games 183 | --- 184 | * **Author** : Scott Aaronson 185 | * **URL** : [https://scottaaronson.blog/](https://scottaaronson.blog/) 186 | * **Description** : The Blog of Scott Aaronson 187 | --- 188 | * **Author** : Sebastian Raschka 189 | * **URL** : [https://sebastianraschka.com/](https://sebastianraschka.com/) 190 | * **Description** : Machine Learning and AI research 191 | --- 192 | * **Author** : Sidney Ochieng 193 | * **URL** : [https://sidneyochieng.co.ke](https://sidneyochieng.co.ke) 194 | * **Description** : Data, programming and other things 195 | --- 196 | * **Author** : Steven Morse 197 | * **URL** : [https://stmorse.github.io/blog.html](https://stmorse.github.io/blog.html) 198 | * **Description** : outlet for personal and professional research, with a focus on applied math and statistics 199 | --- 200 | * **Author** : Susan Shu Chang 201 | * **URL** : [https://www.susanshu.com/](https://www.susanshu.com/) 202 | * **Description** : career development, data science/ML, productivity, and more 203 | --- 204 | * **Author** : Tamara Atanasoska 205 | * **URL** : [https://www.holophrase.de//](https://www.holophrase.de//) 206 | * **Description** : NLP 207 | --- 208 | * **Author** : Teresa Kubacka 209 | * **URL** : [https://www.pythonviz.blog/](https://www.pythonviz.blog/) 210 | * **Description** : Data visualization 211 | --- 212 | * **Author** : Thomas Lumley 213 | * **URL** : [https://notstatschat.rbind.io/](https://notstatschat.rbind.io/) 214 | * **Description** : I’m a statistical researcher in Auckland. This blog is for things that don’t belong on my department’s blog, StatsChat. 215 | --- 216 | * **Author** : Tobias 217 | * **URL** : [https://www.depends-on-the-definition.com](https://www.depends-on-the-definition.com) 218 | * **Description** : Python, machine learning 219 | --- 220 | * **Author** : Vicki Boykis 221 | * **URL** : [https://vickiboykis.com/](https://vickiboykis.com/) 222 | * **Description** : Machine learning and related stuff 223 | --- 224 | * **Author** : Vicki Boykis 225 | * **URL** : [https://boringml.com/](https://boringml.com/) 226 | * **Description** : the internal, boring, day-to-day work that machine learning entails 227 | --- 228 | * **Author** : Vincent 229 | * **URL** : [https://koaning.io/](https://koaning.io/) 230 | * **Description** : understanding algorithmic systems so that one may prevent failure 231 | --- 232 | * **Author** : Will Kurt 233 | * **URL** : [https://www.countbayesie.com/](https://www.countbayesie.com/) 234 | * **Description** : explore issues in Bayesian and Frequentist statistics as well as topics usually left for a rigorous study of probability with measure theory (though as often as possible the aim will be to minimize rigor and maximize insight). 235 | --- 236 | * **Author** : Hardmaru 237 | * **URL** : [https://blog.otoro.net/](https://blog.otoro.net/) 238 | * **Description** : simple things with neural networks. 239 | --- 240 | * **Author** : Carlos E. Perez 241 | * **URL** : [https://intuitmachine.medium.com/](https://intuitmachine.medium.com/) 242 | * **Description** : Author of Artificial Intuition and the Deep Learning Playbook 243 | --- 244 | -------------------------------------------------------------------------------- /parse_blogs.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | 3 | INTRO = """[![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](./CONTRIBUTING.md) [![HitCount](https://hits.dwyl.com/AlexMolas/ml-blogs.svg?style=flat-square)](http://hits.dwyl.com/AlexMolas/ml-blogs) 4 | 5 | A curated list of personal machine learning and data science blogs. 6 | 7 | To add your blog feel free to open a PR. If you don't feel to open a PR feel free to add your blog in this [spreadsheet](https://docs.google.com/spreadsheets/d/1H9ceAbEkSvtzg8A2x0BkI44qJw3Cq0rPdnCihGMn8rU/edit) and I'll add it in the repo when I have time! 8 | 9 | # List of blogs 10 | """ 11 | url = "https://docs.google.com/spreadsheets/d/1H9ceAbEkSvtzg8A2x0BkI44qJw3Cq0rPdnCihGMn8rU/export?format=csv&gid=0" 12 | 13 | data = pd.read_csv(url).sort_values(by="Author") 14 | 15 | with open("README.md", "w") as f: 16 | f.write(INTRO) 17 | for blog in data.itertuples(): 18 | author = blog[1] 19 | url = blog[2] 20 | description = blog[3] 21 | f.write(f"* **Author** : {author} \n") 22 | f.write(f"* **URL** : [{url}]({url}) \n") 23 | f.write(f"* **Description** : {description} \n") 24 | f.write("--- \n") 25 | --------------------------------------------------------------------------------