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Oladeji Stephen
RealSaintSteven
DAY 6: Types of Machine Learning AlgorithmsIn this thread, we will review the various types of machine learning algorithms and their use-cases. We're going to look at the big use
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💡🔥Robert Osazuwa Ness🔥💡
osazuwa
The most popular stats book in the 2nd half of 20th century was "How to Lie with Statistics". The #COVID19 portion of Trump's @axios interview should be titled "How NOT
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ViOffice
ViOfficeDE
#Studis und Promovierende aufgepasst: #ViOffice präsentiert am #FeatureThursday das Zusatzangebot #ViOfficeAcademia. Ihr möchtet von verschiedenen Endgeräten aus #kollaborativ statistische Berechnungen mit #R durchführen oder gemeinsam
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Priyanka Vergadia
pvergadia
The artist in me has been thinking about #Sketchnoting some #CloudComputing stuff. I started off my first idea answering "Which compute platform is right for me?" I am already having
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Miguel Berba, MD
DocBerbi
Stayed up (1:00AM local time) to catch a @dfcidatascience Zoominar conversation by @AlbertoCairo and @rafalab on the experience of #DataViz in biomedical sciences. No regrets. #DataScience Here are some things
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Felix Bethke
F_Bethke
Today, I want to add some reflections about how we conducted mixed-method research for the book. (1/12) https://twitter.com/F_Bethke/status/1250371300440358914 Project team was Markus Bayer for qualitative fieldwork and myself for quantitative
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Dr. Claire Lee 🎃
Claire_Lee
It has been a tragic and traumatic week for the Black community around the world & in America. So today I want to use #FollowFriday to highlight some incredible #BlackAndSTEM
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Cassie Kozyrkov
quaesita
0/ Essential philosophy for #DataScience, a thread of 32 questions. Grab a friend (virtually) and tackle these 32 essential questions (all with more than one reasonable answer) that every serious
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pip install alise
import_alise
A thread: How I prepared for a #tech role in #FAANG— 1. Technical preparation of #python and #SQL2. Behavioral and cultural screen with @Latesha_Byrd 3. Deep dive on department domain
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Brydon Parker
parker_brydon
Causality For Data ScientistsThis will be a thread highlighting when and how Data Scientists can effectively leverage #causality.Inspired by and directly referencing @akelleh's excellent content on Causal #DataScience.https://medium.com
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Raj Shroff
rshroff10
Almost every CEO says they are ‘doing AI’, just like your friend tells you he is ‘hitting the gym’.Both probably won’t get the results they hoped for.How can firms create
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Teneika Askew | Analytics & Automation
teneikaask_you
I meet a lot of people interested in getting into #data. It’s really aspiring to see so many people wanting to understand more about data.Here’s an updated #thread of FREE
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Rika Gorn
RikaGorn
I’m looking for a data scientist to join my team @spring_health! At Spring we are serious about fixing our ridiculously broken mental health system and we do amazing work breaking
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Huda Nassar
nassarhuda
I had so much fun working on this data science course!One aspect of the fun I had was learning interesting information about the data I used. I share my learnings
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Christoph Purschke
questoph
The fun of working with low-resource languages... First working prototype of an automatic orthographic correction tool for #Luxembourgish in #Python. Still a bit resource-heavy, and it needs better correction dicts
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Dave Johnson
New_To_Dave
At the @DataSciCampus many of us are also parents dealing with the unexpected challenge of home-schooling children of all ages. Here's some free home-schooling #DataScience resources we've seen (note -
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