Discover and read the best of Twitter Threads about #datascience

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“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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