Data Science Weekly

For data science: https://www.datascienceweekly.org We have tens of thousands of data scientists and up-and-coming data scientists who subscribe.

Seems you can subscribe on the homepage @ http://www.datascienceweekly.org/ but they should add a subscribe box on each page.

https://www.datascienceweekly.org/ https://hackernewsletter.com/ https://www.lynda.com/allcourses

Since Google Reader shut down, I've basically switched my behaviour to subscribing to sites via email and especially looking out for good curated weekly emails. Here are my favourites at the moment: iOS Dev Weekly : https://iosdevweekly.com/ Data Science Weekly : http://www.datascienceweekly.org/ Clojure Gazette : http://www.clojuregazette.com/ Ruby Weekly : http://rubyweekly.com/ Green Ruby : http://greenruby.org/ Founders Cabin : http://founderscabin.io/ SaaS Weekly : http://hiten.com/issues/ Also, shameless plug, I just started a weekly newsletter about Machine Learning, Data Science, Data Engineering: http://datacoder.aidanf.net/

http://www.datascienceweekly.org/ The editor picks are usually extremely good, and if I didn't read them already, I know that I should.

Subscribe to Data Science Weekly: http://www.datascienceweekly.org/ http://blog.zipfianacademy.com/ http://blog.cloudera.com/blog/category/data-science/ http://www.hilarymason.com/ http://mathbabe.org/ http://fivethirtyeight.blogs.nytimes.com/ http://blog.kaggle.com/ http://grepalex.com/ http://pulseblog.emc.com/category/big-data/ http://radar.oreilly.com/ http://flowingdata.com/ http://oreilly.com/data/newsletter.html http://www.gapminder.org/ http://mlcomp.org/

Just the links from…

Sort of related, a couple of free decent books with interviews with data scientists http://www.datascienceweekly.org/pdf/DataScienceWeekly_DataScientistIn… http://www.datascienceweekly.org/pdf/DataScienceWeekly-DataScientistIn…

Gene Smith's book has a good overview of tagging in early "social bookmarking" projects, http://epublishersweekly.blogspot.com/2008/09/tagging-people-powered-m… Random is an iOS app/svc attempting to infer "associative ontologies" from navigation patterns, http://www.datascienceweekly.org/data-scientist-interviews/random-pred… "The app also allows you to connect things freely thus letting you express both your rational and irrational self. There are no universal categories or connections between different things - rather it's about an individual's own "ontology" that's created through usage. The "associative ontology" evolves continuously both through the actions of the individual and other people using the system. "

https://www.jendrikillner.com/tags/weekly - Graphics Programming weekly https://halisavakis.com/category/technically-art - Technically Art weekly https://us17.campaign-archive.com/home/?u=ac8ab0580c321574fe178a646&am… - Blender Guru Newsletter https://twitter.com/search?q=Creative%20Code%20News%20(from%3AsableRap… - Creative Code News rarely: https://tympanus.net/codrops/collective - Codrops - web design news, resources https://speckyboy.com/?s=Weekly+News - Speckyboy - designers news https://kerkour.com/tags/newsletter - Kerkour - favorite links https://habr-com.translate.goog/ru/search/?q=%D0%B4%D0%B0%D0%B9%D0%B4%… - habr ru - various technical weekly news bookmarked: https://www.datascienceweekly.org/newsletters - Data Science Weekly https://this-week-in-rust.org - This Week in Rust https://www.fightaging.org/archives - Fight Aging

> Wondering, what kind of math I could learn that would benefit me in my job It depends on what you want to do. I’ll get to your question in a bit, but I think this passage from the book on page (i) describes why you might want to learn mathematics. > So why would someone like you want to engage with mathematics? Many software engineers, especially the sort who like to push the limits of what can be done with programs, eventually come to realize a deep truth: mathematics unlocks a lot of cool new programs. These are truly novel programs. They would simply be impossible to write (if not inconceivable!) without mathematics. That includes programs in this book about cryptography, data science, and art, but also to many revolutionary technologies in industry, such as signal processing, compression, ranking, optimization, and artificial intelligence. As importantly, a wealth of opportunity makes programming more fun! To quote Randall Munroe in his XKCD comic Forgot Algebra [0], “The only things you HAVE to know are how to make enough of a living to stay alive and how to get your taxes done. All the fun parts of life are optional.” If you want your career to grow beyond shuffling data around to meet arbitrary business goals, you should learn the tools that enable you to write programs that captivate and delight you. Mathematics is one of those tools. You should never feel like a lesser programmer, because you don’t know mathematics it’s just something that might make things a…