Discover and read the best of Twitter Threads about #Datascience

Most recents (24)

Automation Tools To Ease Your Data Science Project

Working on Data Science Project can be overwhelming for beginners esp student that intend to carry our a research in this field.

Below are some automation tools that data science professional can use.
#DataScience #Thread
1 WEKA
Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization
#WEKA help you discover practical data mining &learn to mine your own data
#WEKA make it easy for you to play around with data and it gives you test options regarding how you split your #dataset.
I once used WEKA to get result 'clue' for Classification of EEG signal using AIRS, Immuno, CLONALG.

Download WEKA: cs.waikato.ac.nz/ml/weka/
Read 11 tweets
My online #researchstudy was recently infiltrated by bots. I haven't shared this story publicly because I felt a bit like it was my fault. I'm putting my pride aside because I think #dataintegrity is and will be a growing issue in survey data and is not discussed enough (1/n)
Bots have been a huge threat data integrity in recent years, and I can't believe that bot protection is not yet a standard part of the data integrity section of IRB submissions. Gone are the days where "checking the quality of the data every few days" will suffice (2/n)
Adding protections INTO your survey may take time and energy spent coding & creating advanced branch logic but it will save you hundreds of hours (and LOTS of money) if you do it right! (3/n)
Read 12 tweets
Interesting. #UnsealEpstein

Former MIT media lab staffer says leadership made it clear Epstein's donations were to be kept secret - CNN cnn.com/2019/09/08/us/…
#Epstein = 'Voldemort'? 🤔 5:5?
#UnsealEpstein MIT has some 'splaining to do...
Read 16 tweets
Your MDS Curator this week, @TiffanyTimbers, here.

This morning I would like to share with you some of the most influential resources that have shaped my #DataScience workflow:

1. @swcarpentry 's Version Control with Git lesson: swcarpentry.github.io/git-novice/
@TiffanyTimbers @swcarpentry @JennyBryan 3. "Good enough practices in scientific computing" by @gvwilson @JennyBryan Karen Cranston Justin Kitzes @lexnederbragt & @tracykteal

journals.plos.org/ploscompbiol/a…
Read 7 tweets
Love the simplicity of #Serverless #FaaS (Function-as-a-Service) but hate the setup process? Look to these 7 open source projects to ease #AWS Lambda deployments: dy.si/M3VJd
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#BigData #StreamingAnalytics #Cloud #DataScience #MachineLearning #IFTTT #EventDriven #AI
13 free tools for #API design, development, & testing — for example, Amazon API Gateway allows you to build front-end APIs for applications built on Amazon EC2, #AWS Lambda, or any web application:
dy.si/1VTf942
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#microservices #cloud #serverless #FaaS #coding #IoT
#IFTTT alternatives for developers of #EventDriven workflows: dy.si/ZorG2N
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#IoT #EdgeAnalytics #EdgeComputing #Microservices #DataScience #BigData #FaaS #ML
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+See the book “AWS Lambda in Action: Event-driven #Serverless Applications” at amzn.to/2YFDSO8
Read 4 tweets
Bayesian #MachineLearning Part 1 — Understanding Bayes Theorem from an Analytics Perspective: bit.ly/2KAJaHS #abdsc
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#BigData #DataScience #Statistics #StatisticalLiteracy #DataLiteracy #Algorithms
Bayesian #MachineLearning Part 3 — building Bayesian models & inference networks: bit.ly/2O2afGr #abdsc
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#BigData #DataScience #Statistics #StatisticalLiteracy #DataLiteracy #Algorithms
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+See also these books: amzn.to/30jbwuk
Read 5 tweets
Full room on a Thursday morning to learn about making an impact with #statistics in the era of #DataScience at #JSM2019
Data Science = w*Statistics + (1-w)*Computer Science
What a great definition!! #JSM2019
Sparsity and complexity are a defining aspect of big data. You need knowledge of the problem you’re solving, and that needs to be baked into our models. #JSM2019
Read 53 tweets
I’ve been getting a lot of new followers lately, so how about an #epitwitter #ScholarSunday so newcomers can get connected to our lovely community!

Here’s a thread of some of my suggestions for who to follow & why! Add your own in the comments👇🏼
Looking for some academic career advice? Have questions about writing grants? Want tips on making delicious pizza or pie? Head on over to @BillMiller_Epi!
Want support for how to #liveyourbestlife, learn to say ‘no’, or throw an amazing party? You’ll be wanting to follow @lisabodnar!
Read 6 tweets
Hi #development Twitter & #GCDigital. I'm thinking of creating a gentle #Python-based learning session on how applications work for senior executives. I need your help. Yellow sign -
My hypothesis == w/ hands-on practice of some simple programming fundamentals, senior folks can better understand modern applications, how they are developed & work + the value of #opensource. Maybe some agile.
This, in turn, leads to understanding the art of the possible, better questions on work being done, potentially practical support for building broader #programming & #DataScience capacity in their organizations & more open access to #opensource tools.
Read 8 tweets
My top book recommendations for data scientists to read as part of their personal development.
#datascience #personaldevelopment
(A thread built from link.medium.com/MXM1owRj0X) 1/
In the Data Science Venn diagram a data scientist exists at the convergence of skills in mathematics & statistics, hacking and domain expertise¹. But alongside this is the importance of soft skills in data science roles².
¹drewconway.com/zia/2013/3/26/…
²towardsdatascience.com/soft-skills-wi… 2/
To be effective a data scientist should possess strong communication skills; be able to negotiate & persuade stakeholders; to lead projects & teams to success, in a range of commercial or industrial environments. This motivated me to compile this list of book recommendations. 3/
Read 16 tweets
A few people have DMed me about career advice as in "How do I get started in statistics?" I'm not where I want to be in life yet! But I have switched fields *multiple* times. So here are my tips on moving from insider to outsider ...
#epitwitter #statstwitter #datascience
1. Google a few people who started where you are and got to where you want to be. Look at their resume, work backwards and copy what they did. (This doesn't always work, especially if you are the first person like you.)
2. Find a person who's where you want to be. Tell them your background honestly. If they tell you that you aren't suited to their industry, ignore that for now. Get them to name one concrete gap that you have. Fill the gap. If you don't know how, then ask. Repeat as needed.
Read 9 tweets
My previous ten random useful things about #rstats was so popular that I decided to add another ten. #datascience #analytics #r4ds
towardsdatascience.com/ten-more-rando…
@kearneymw you get a mention in this one :)
@emilykuehler I link to your bar chart race blog post in this.
Read 3 tweets
#SDSS2019 @gdequeiroz do people need to be on Twitter to be a part of #datascience community? How do we include people who are not on twitter?
#SDSS2019 @AmeliaMN joined twitter one day apart of first opening #rstats. She encourages people to at least open a twitter account and follow people.
#SDSS2019 @dataandme ecosystem of spaces approach: different fora that exist are good for different types of interactions -- think @StackOverflow @StackStats; @RStudio created an online community; there are people who actively contribute to @GitHub
Read 36 tweets
At #SDSS2019, I am chairing a session on workflows with @TiffanyTimbers @mikelove @stephaniehicks at 3:45 in Regency C - it is tucked away a bit in the corridor between AB and D
Read 55 tweets
There's very unsettling news at @MountSinaiNYC, and I'm going to write a long thread about it.

With it, I plan to share a relevant experience I've never publicly discussed and I will offer ideas of action steps.

I hope you'll to read this thread, share what's happened, and act.
You should read this if you care about honesty and treating people decently.

You should read this if you worked or trained at @MountSinaiNYC.

You should read this if you care about #GlobalHealth, #PublicHealth, #AcademicTwitter, #MedTwitter, research ethics, or labor/HR issues.
Read 52 tweets
2 de mayo. Hace justo hoy tres años que el Leicester City, en su segunda temporada en la Premier tras diez años en segunda, se proclamaba campeón. Claro que merece un hilo, porque la ciencia de datos fue clave en ese hito. #datascience #datasports #sportscience
El Leicester City #lcfc ascendió tras la temporada 2013-2014, en la que arrasó en la English Football League, la 2ª división del fútbol inglés. El año anterior se había quedado fuera en el llamado “minuto loco”.
En esa temporada 2014-2015, el Leicester City #lcfc estuvo a punto de descender, lo que no hubiese sorprendido a nadie. A falta de 6 jornadas era último. Acabó 14º tras una espectacular racha de 6 victorias en 7 partidos.
Read 15 tweets
So I heard about a really bad take today, that things that are available free online aren't good enough to be worth money.

To counteract that rubbish call, here I tender a list of free, online #rstats books that I recommend above paid ones #OER
1/many
This list (of course) begins with @djnavarro's Learning statistics with R. Want a brilliant, approachable entry to both statistics and #rstats when you have no prior background, I can recommend nothing else.
learningstatisticswithr.com/book/
Got less of a psych focus and coming from a #DataScience angle, well you must read @hadleywickham & @StatGarrett's #R4DS. It has it's own supportive community (@R4DScommunity) that you should check out also.
r4ds.had.co.nz #rstats
Read 11 tweets
#Bigdata vs Machine Learning vs Artificial Intelligence
By Irene Aldridge
☝️author High-Frequency Trading: A Practical Guide to #Algorithmic Strategies& #Trading Systems
☝️co-author Real-Time Risk: What Investors Should Know About #Fintech,#highfrequencytrading and FlashCrashes
1. ☝️🧐➿🔢 In traditional #statistics or #econometrics, researchers make assumptions about #data distributions ahead of the analysis
2. 🥇💪#machinelearning = the 1st discipline to apply #efficiency to #problemsolving brought by #computers & their enhanced computational power
3. 🤗➿🔢#ML scientists try to reduce #assumptions about the data as much as possible&let the data (&computers) decide what fits best.
4. ♾➡️🔤🌐#Datascience identifies core characteristics of the data, summarized by what has been known as #characteristic values (#eigenvalues)
Read 6 tweets
🔴 #Software is eating the world, and it’s only the beginning

#ArtificialIntelligence #AI #MachineLearning #ML #FutureOfWork #Robots #Technology #Disruption

1/2
🔴 #Software is eating the world, and it’s only the beginning

#ArtificialIntelligence #AI #MachineLearning #ML #FutureOfWork #Robots #Technology #Disruption

2/2
Emerson, Lake & Palmer - From The Beginning (Live)

Read 11 tweets
Hello #BIWisdom tribe, and welcome to our weekly discussion.
This week on #BIWisdom I’m excited to discuss #skills for #data and #Analytics.
This is a favorite #BIWisdom topic of mine, because prior to my #Analytics journey I was a teacher in the UK. I’ve written about it a little on LinkedIn linkedin.com/pulse/positive…
Read 21 tweets
Racism is not just a set of discriminatory actions; racism (and racial capitalism) is hardwired into very #infrastructures of our daily lives, shaping who breezes through life with clean, potable water and who lives without ‘universal’ public services. A thread.
In the Annals of @theAAG, @shiloh_deitz and I explore domestic water provision in the USA and expose its racialized, classed, and political nature. Yep, we do the entire country. We run the @ipums numbers. We make the maps. We bring the facts. tandfonline.com/doi/full/10.10…
Myth: Public water service is 100% universal in the USA. Fact: Nearly 1.5 million occupied households the US lack complete plumbing (water + sewerage) in their homes. That’s equivalent to the nation’s fifth largest city. A city of the plumbing poor. #waterinsecurity
Read 11 tweets
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

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