Discover and read the best of Twitter Threads about #DataScience

Most recents (19)

You going to Health Datapalooza next month? YOU WANT TO, you do! It's never just a nerd herd, and this year you'll get #cyberwoke. Settle in, I'll spin the tale. #HDPalooza #epatient #datarights
First, you need to know that as awesome as social media is for #epatients, #research teams, #healthpolicy wonks, #datascience peeps, and other members of the #HDPalooza tribe, there IS a dark side. #cyberwoke #dataprivacy #HumanRights
Read 12 tweets
Last month a friend asked me "what's the best resource you've read thus far on human decision-making?" 1/
After thinking about it, I decided to recommend her one of the first such resources I ever encountered, seven years ago: Doug Hubbard (@hubbardaie)'s How to Measure Anything. 2/ amazon.com/How-Measure-An…
While I don't agree with every word of it, How to Measure Anything is quite possibly the most important and useful book I've ever read on any topic. Here's why. 3/
Read 24 tweets
Hello all #dataviz fanatics! It’s time to kick off our #datavizbook #epibookclub for @kjhealy’s new book, Data Visualization.

Remember, if your book hasn’t arrived yet or you’re waiting on the library, you can read it here: socviz.co

#epitwitter #datascience
This week, we’re reading the Preface and Chapter 1: Look at Data.

I’ll post some highlights from each and then I hope you’ll chime in with your thoughts, comments, questions, etc.
In the Preface we get a nice overview of the goal of this book: the why and how of good data visualization for beginners, including practical applications in R with ggplot2.

The book doesn’t assume any prior knowledge of R, & covers everything #dataviz from scatterplots to maps.
Read 18 tweets
Also: Retweeting this in order to avoid spamming this thread and getting blocked again. I will continue here. @woonomic
What a mess.. I just noticed that most of the tweets do not seem to be viewable from the outside -but only for myself- due to the autoblock. Copy paste below in order to create a coherent structure/thread.

Hoping this does not happen again when I write everything on my own wall.
Related to your claim that [M = PQ/Vu + I/Vi].

First issue: Why do you over complicate things by splitting up the 'utility economy' and 'investment economy' when you're interested in the aggregate network valuation?
Read 42 tweets
Alright, here’s a little window into the cutting edge inner workings of the CN/ZQ anti-disinformation machine. Sometimes we’re linear; other times not so much. #oldnotes #DataScience #resist
Read 7 tweets
#Mexico #USA #Canada are great countries very big and have awesome chance to earn #free #crypto with #Electroneum #ETN #Guadalajara #Puebla #Ecatepec #CiudadDeMéxico #reclutamiento #criptas i belive in #massadoption in #spanish world and #football #fans maybe can adopt us too
In #europe we have great #fanbase in #UK #germany #turkey #russia & #romania but what about other big countries like #france #spain #poland #italy or #Ukraine we have more potential - join early with #ETN $ETN #Electroneum #cryptocurrency and you will be rewarded. Its up to YOU!
Read 4 tweets
Let's try something interesting ...I call it #socialLearning. I post a #DataScience topic and you tell me interesting things you know about it.!!
In python we are able to unpack sequences (think lists, tuples etc..) into variables
Read 8 tweets
#CSPC2018 now at the participatory panel on funding for trainees.
Most voted model for support for trainees is direct via scholarship and fellowships (rather than thru institutions or via grants), and 52% prefer higher value to 48% wanting more awards. #CSPC2018

These are some of many questions in @DSP_SPE survey 📎 sp-exchange.ca/events/survey/
Some great #NRSA programs over at @NIH ⬇️ #CSPC2018 (see stipend amounts in pix)
Read 18 tweets
Translation Director-General Rytis Martikonis kicks off #TEF2018 here in Brussels. You can follow along on YouTube and @Slidoapp; just use our hashtag.
I‘ll be representing @EUInterpreters, talking about how interpreters use data & technology. (Come say hi!) Hoping to add to the momentum of the upcoming launch of the Knowledge Center. @CathyPe1971 @jhsaseta #1nt #scickci
Our moderator is @AnaGuerberof - kudos and good luck trying to tame hundreds of curious translators over two days! 😉 #xl8
Read 31 tweets
Saturday Keynote at #ODSCWest Carrie Grimes Bostock - Data Science & Automated Decision Making. Automation has inputs, model(s) and potential outputs for action.
What is the goal of your models? Interpretability is important, but not the only thing. Other measures exist, but understanding your model is important to prevent outcomes, override recommendations, and to connect models to other systems - or stacks of models & systems. #ODSCWest
Example: placing racks in the Santa Clara data centre. Considerations, restrictions on space, power, future use of space, etc. Also: People install racks. They need to be able to intervene based on info that the placement model doesn't have. #ODSCWest
Read 29 tweets
Next up: Katie Malone @multiarmbandit From Presidential campaign trail to Enterprise - Building a #DataScience team @CivisAnalytics
Effective #data-driven teams: different in existing organizations than start-ups. Need to find the best places to build in data value without overturning everything else. Challenges: personal-level analytics, resource allocation, security, privacy. #ODSCWest
Business & data teams will see problems differently. Data teams need to be comfortable with trade-offs in business. Metrics can be ill-defined. Speed can be better than perfection. Important to understand adequate accuracy of models. #ODSCWest Oh yeah, and security.
Read 9 tweets
Now up: Zachary Brown, Lead Data Scientist at S&P Global on #DataScience and #OpenEducation for the enterprise. Dayjob: #AI, Sidehustle: building #digital skills using #opensource #ODSCWest @School_GC
#DigitalLiteracy - Why? Effective work today requires a lot of associated learning. @linuxfoundation @github #VersionControl #Visualization -- continuous learning is critical. Optimal tools & processes are probably not the ones you are using now (Matlab vs. Scikit-Learn)
Need an evolving understanding for what tools are available today to get your work done. If you want your business people to work with your #datascience team, they need to understand what data is and what it can do. Also helps to avoid chasing buzzwords and bling.
Read 14 tweets
Thread: Building an ethical foundation for the AI-driven future @PeriscopeData
First question: What value do you bring to your org. as a data professional? #techskills #businessoutcomes -- likely responses. Then Facebook & #unintendedoutcomes #ODSCWest
Industry starting to confront #ethics in terms of daily applications of #AI algorithms. #Bias based on data - in the case of courts, potentially hundreds of years of biased decisions as part of the training set.
"I'm just an engineer" not an appropriate response. People using #AI products might not understand what or how decisions and predictions are being made, but will be making real world decisions based on them. YOU and your team might be the only ones who do.
Read 11 tweets
Kicking off day 1 of #ODSCWest. I'll be tweeting through the next few days and pinging #GCDigital folks for interest or potential follow-up. #opensource #DataScience #openeducation @School_GC
First up: @asuonline will be hosting an educational analytics conference in March 2019 focusing on what we can learn from learner data and how to structure learning to better meet learner needs. #ODSCWest
#AI differential - being able to tailor products to specific users == better able to predict value to and from users. E.g. cost to deliver value to user vs. cost to company to deliver that value. Allows ruthless competitive focus - @DataRobot #ODSCWest
Read 21 tweets
All available #gab posts have been indexed. Dozens of millions of posts to analyze. You can now search and sort by various fields such as score, created_utc (time), etc.

#dataviz #datascience #bigdata
The top scoring Gab post mentioning "jews":

beta.pushshift.io/gab/post/searc…

"For all of you who are new to Gab, don't worry about the racism. I know it can be a little weird at first, but pretty soon you're going to realize that racism is normal and the only reason you haven't ...
... seen it before is because the Jews were censoring it."
Read 5 tweets
“How does #ux work with #agile” ?

Step 1: Read the Agile Manifesto for Software Development agilemanifesto.org

Step 2: Read the Principles behind the Agile Manifesto: agilemanifesto.org/principles.html

Step 3: For a modern twist, check out Modern Agile: modernagile.org

1/3
...you’ll quickly notice there is no mention of Product Owners, Sprints, User Stories, Story Points, Scrum Masters, Demos, Jira, etc. And no mention of #ux, #datascience, #businessanalyts #devops etc.

There is one key thing though... 2/3
Try as hard as possible to join a team as an equal member. The team is the unit of self-organization and inspect/adapt. Do the #agile thing and experiment with how to make #ux work in context. Harness agility to do great #UX

That’s it. 3/3
Read 3 tweets
Bayes’ Theorem Definitions:
The vertical bar | stands for "given that".
P = Probability.
A & B are events.
P(A) & P(B) are the probabilities of events A and B. Each event is separate from the other.
P(A|B) is the probability of A being true given that event B is true.
#SoDS18 #ML
Example:
Say we have 2 coolers at an owambe: Cooler A is filled with 10packs of small chops only. Cooler B has 5packs of small chops and 5packs of Asun. You are then asked to close your eyes and pick a pack out of one cooler, which pack would you pick? #MachineLearning #SoDS18
Because you know that we have more of small chops in both coolers, your brain is most likely going to tell you have picked a pack of small chops - even when your eyes are closed. This is not wrong.
#MachineLearning #SoDS18
Read 14 tweets
Read 25 tweets
1/6 Data and the Quest for Truth: A short cartoon talking about the value of data in establishing truth. First, distinguish between matters of opinion and matters of fact.

#datascience #scientificmethod #machinelearning

#think2018 #IBMPartner @ibmanalytics
2/6 You can have a preference and that’s cool. You like one thing. I like another. We run into problems when we argue about verifiable facts. Watch out for #confirmationbias

#datascience #analytics #confirmationbias

#think2018 #IBMPartner
3/6 Ignoring evidence can impact people around you… and that’s bad. We live in a #BigData in which everything is quantified. To solve our problems, we need to become data-literate.

#datascience #machinelearning

#think2018 #IBMPartner
Read 6 tweets

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