DatSciTweeps @DatSciTweeps

We're an interdisciplinary data science account with a new curator every week! Founded by @themichjam. This week:@. #RoCur #DataScience #SciComm datscitweeps.wordpress.com United Kingdom Joined May 2018

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DatSciTweeps @DatSciTweeps

7 years ago

#DataScientist? Involved in using #QuantitativeMethods? Interested in #scicomm? Want to tell others about your work? Why not sign up to be a Curator for a week on the newest interdisciplinary #DataScience #RoCur account #Rstats #SPSS #Python #Academia datscitweeps.wordpress.com/apply/

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DatSciTweeps @DatSciTweeps

7 years ago

Involved with #DataScience in some way? Why not let the public in on what you do? Get in touch to tweet for us! #MachineLearning #PhDChat #DataScientists #Data #Academia #Statistics @GlasgowQStep @QStepEdinburgh @AQMeNNetwork @RoyalStatSoc @BasicStatistics @DataScienceBe #rocur

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DatSciTweeps @DatSciTweeps

7 years ago

Fancy helping to run the latest and only #RoCur interdisciplinary data science account? Get in touch! #DataScience

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DatSciTweeps @DatSciTweeps

7 years ago

DST will resume shortly. Interested in curating? Apply! #DataScience

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DatSciTweeps @DatSciTweeps

7 years ago

It’s been an absolute pleasure curating, I hope you enjoy your next tweeter for @DatSciTweeps ! 🤓🧠⚡️⭐️ #DataScience #MachineLearning #Coding #cplusplus #science #physics #nuclear

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DatSciTweeps @DatSciTweeps

7 years ago

C++ Algorithmic paradigms-Divide and Conquer (D&C) divides a problem into smaller, independent sub-problems ✨ Solutions to each of the sub-problems and then combined to solve the initial query⭐️ #DataScience #Coding #cplusplus

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Ronald van Loon @Ronald_vanLoon

7 years ago

Mobile Scale Changes Everything Bringing #AI to the Masses [#INFOGRAPHIS] by @Qualcomm | Read more at bit.ly/2lrx9WF #Technology #IoT #InternetOfThings #MachineIntelligence #MachineLearning #Cloud #SmartHome #SmartTech #RT Cc: @MikeQuindazzi

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DatSciTweeps @DatSciTweeps

7 years ago

Algorithmic paradigms in C++ Complete search(aka brute force)solves a problem by considering all search components to find a solution🤔 Once searching we remove some search components we are sure don’t give the solution This is time consuming for large problems #MachineLearning

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DatSciTweeps @DatSciTweeps

7 years ago

Deep learning is a complex concepts to understand in today’s scope of machine learning Deep learning gets its from the neural network essentially containing multiple layer 🧠⚡️🌟 #DataScience #MachineLearning #DeepLearning

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DatSciTweeps @DatSciTweeps

7 years ago

From towardsdatascience.com/general-myths-… a great diagram explaining the relation between #ArtificialIntelligence #MachineLearning and #DeepLearning 🤓🧠⚡️ #DataScience #DataAnalytics

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DatSciTweeps @DatSciTweeps

7 years ago

Maximum Likelihood Method- example Average weight of adult polar bears-unable to measure height of every Polar bear in area of study 🤔 Assume weights are normally distributed with unknown mean&variance,estimate with MLE using weights from sample population #DataScience #Stats

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DatSciTweeps @DatSciTweeps

7 years ago

The sPlot technique is essentially using the ‘Maximum Likelihood Method’ 🤔 -this means using known variables to maximise the chance you are seeing what you are looking for in your data- not some other artifact ⚡️ #DataScience #DataAnalysis #Stats #physics

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DatSciTweeps @DatSciTweeps

7 years ago

SPlots Aim:use the knowledge available for discriminating variables to infer the behavior of the individual sources of events/data WRT control variable 👥👤 Assumption:control variable is uncorrelated with the discriminating variables #DataAnalysis #DataScience #Stats #physics

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DatSciTweeps @DatSciTweeps

7 years ago

So what do sPlots do? -let you reconstruct distributions for the control variable independently for each of the various sources of events/data 💻 -without making use of any a-priori knowledge on this variable🧠 #DataScience #DataAnalysis #physics #Stats

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DatSciTweeps @DatSciTweeps

7 years ago

From considering ML we see the key principle is to know your data and make a plan first. How else will you know what kind of ML you need? What info you need to give it.🤔 Always make an analysis plan and take things one step at a time.⚡️ #MachineLearning #DataScience

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DatSciTweeps @DatSciTweeps

7 years ago

SPlots- Technique 🤓🤯🌟 We split variables into 2 components-those with: 1:known distributions of all the sources of info: discriminating variable 2: unknown distributions of some sources of info: control variables #DataScience #Stats #physics #DataAnalysis

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DatSciTweeps @DatSciTweeps

7 years ago

I’ll be posting a little about sPlots- a technique used to help ensure you’re actually seeing what you think you are in large and complex data sets 🤔🤓(2/2) #DataScience #Stats #physics #science #DataAnalytics #phd #phdlife #phdlies

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DatSciTweeps @DatSciTweeps

7 years ago

Sometimes #Data analysis seems a little overwhelming, and it’s hard to know exactly what you’re seeing(1/2) #DataScience #physics #Stats #science

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DatSciTweeps @DatSciTweeps

7 years ago

Intro to- sPlots! 🤓 Some data samples consist of several sources of information merged into a single sample of events- we need to separate these to sort the information of interest- for this I use sPlots🤔🌟 #DataScience #Stats #physics #DataAnalytics

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DatSciTweeps @DatSciTweeps

7 years ago

Classifying ML tasks by output:🤔 Dimensionality Reduction:simplifies inputs by mapping into a lower-dimensional space Topic modeling=related problem -program given list of written documents->tasked w. finding documents covering similar topics(5/5) #MachineLearning #DataScience