Jessica's Data Thoughts

My thoughts on data, artificial intelligence, startup life, and being a kick ass woman in tech. I'm a Data Scientist with @CHAOSarchitects

[Jessica's Data Thoughts @data_jessica]

So happy to call this place home. 💙

[Jessica's Data Thoughts @data_jessica]

"When most scientists were trying to make people use code to talk to computers, Karen Sparck Jones taught computers to understand human language instead. In so doing, her technology established the basis of search engines like Google."

https://t.co/f6Tz7aAi9J

[Jessica's Data Thoughts @data_jessica]

A little late, but this cracked me up last week 🤣🎄🎅

https://t.co/2m8jjN40CU

[Jessica's Data Thoughts @data_jessica]

Not really any surprises here: "large companies have an advantage when it comes to ML... they have access to more data, can continue to invest in big R&D efforts, & have many problems that ML technology can solve cost-effectively"
https://t.co/c111Akwcer @techrepublic @macybayern

[Jessica's Data Thoughts @data_jessica]

The Data Science domain requires constant learning and teaching others as you learn helps solidify your own understanding. 👩‍🏫

[Data Science Central @analyticbridge]

Want to become a Data Scientist? Try Feynman Technique https://t.co/SkfQ8e34Pm

[Jessica's Data Thoughts @data_jessica]

If you're considering setting up a deep learning machine, check out this step by step guide through the hardware you will need for a cheap high-performance system.

Thanks for putting this together, @Tim_Dettmers!

[Tim Dettmers @Tim_Dettmers]

I just updated my full deep learning hardware for the latest recommendations and advice. I reframed the blog post to help you avoid the most costly mistakes when you are building a deep learning machine. https://t.co/Dx0R0Ms0ie

[Andrew Ng @AndrewYNg]

The AI Index 2018 report is out! Lots of great data. My key takeaways: (i) AI's rapid growth--in jobs, publications, performance--continues. (ii) We still need to do better in diversity/inclusion. @indexingai https://t.co/ZwBVf9TnHh

[Jessica's Data Thoughts @data_jessica]

If AI has caught your eye but you're not sure how to get involved in the industry, check out @sirajraval's video "7 Ways to Make Money with Machine Learning"

🤖🤖🤖

https://t.co/ojQZJEHviO

[Jessica's Data Thoughts @data_jessica]

"Severe specialization stifles creative problem-solving. And that is exactly what the modern workspace needs — individuals capable of solving problems by thinking outside of the proverbial boxes that say it can’t be done." https://t.co/SlUpzQvcWe by @aytekintank

[Jessica's Data Thoughts @data_jessica]

Thoughts from @zellwk: "Productivity is about managing your time & energy. Are you doing your best work with the available time? Are you focused when you work? Are you happy with what you’re spending time on? Are you resting enough to recharge yourself?" https://t.co/ESXkZDtyJV

[Jessica's Data Thoughts @data_jessica]

The wonderful @techie4good telling things like they are in an entertaining and approachable way! ❤️

[Jessica's Data Thoughts @data_jessica]

“So from my tech tribe out to you, my hustle tribe, here are the ‘secrets’ you’re expected to already know about technical interviews.”  — Kasey Champion @techie4good https://t.co/GusYpalMHU

[Jessica's Data Thoughts @data_jessica]

Good Data & Machine Learning by @csoham358

"Many people in the ML field believe that it can solve any problem as long as you stack up enough layers and neurons... but [they] have forgotten the two most important parts of Machine Learning: Math & Data."

https://t.co/UAFIsyDe0V

[Jessica's Data Thoughts @data_jessica]

"There’s no honor in killing yourself for a dream. Starting small, building slowly & growing organically can prevent both small meltdowns and a total crash-and-burn nosedive."

Thanks, @aytekintank, for your "slow & steady wins the race" perspective. 😄
https://t.co/VJkvBTC4gJ

[Jessica's Data Thoughts @data_jessica]

"People don’t desire products, they desire feelings that products give them... even I’m not passionate about forms. What I do care about, though, is helping our 4.1 million customers run smarter, more productive businesses... our customers just want to do business, & do it well."

[Aytekin @aytekintank]

I just published "How listening to our 4.1 million users inspired a new product idea" https://t.co/6l5XTHVGJy

[Jessica's Data Thoughts @data_jessica]

Shout-out to @theshortcutorg for letting me spend 2 hours geeking out about data science. 😁🤓Thank you for having me!

[The Shortcut @theshortcutorg]

Earlier we had a session with @JPitherin from @CHAOSarchitects about the beginner’s guide to free methods and tools for #dataanalytics. We learned about different types of data, the process of the scientific method and some typical analytics tools. #SchoolOfStartups #Tech Track

[Jessica's Data Thoughts @data_jessica]

https://t.co/mGMLg1yjRR

[Jessica's Data Thoughts @data_jessica]

"There are many... discussions around how to become a DS. While these discussions are extremely informative... they tend to over-emphasize techniques, tools, and skill-sets... it is equally important for an aspiring DS to know what it is really like to work as a DS." @_rchang

[Jessica's Data Thoughts @data_jessica]

2/2"...the unique composition of their data set, and then bring together the Data Science and their Domain Expertise to improve the KPI’s and the underlying business.” — @dwaynegefferie
https://t.co/qWioe5oPnS

[Jessica's Data Thoughts @data_jessica]

1/2 "This doesn't mean that a Data Scientist shouldn't know what algorithm is best suited for a particular problem, it only means that they need to fully understand the problem, how it relates to the customers, the objectives of the business..."