The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Spiral layout algorithm.
The edge colors are based on relationship values. The vertex sizes are based on eigenvector centrality values.
Overall Graph Metrics:
Vertices: 1147
Unique Edges: 3406
Edges With Duplicates: 4460
Total Edges: 7866
Self-Loops: 332
Reciprocated Vertex Pair Ratio: 0.00463929482718627
Reciprocated Edge Ratio: 0.00923574232278919
Connected Components: 1
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 1147
Maximum Edges in a Connected Component: 7866
Maximum Geodesic Distance (Diameter): 4
Average Geodesic Distance: 2.25299
Graph Density: 0.0032948841427139
Modularity: 0.314966
NodeXL Version: 1.0.1.419
Top 10 Vertices, Ranked by In-Degree:
datasciencectrl
ronald_vanloon
kirkdborne
schmarzo
ipfconline1
granvilledsc
hitachivantara
cloudexpo
spirosmargaris
antgrasso
Top 10 Vertices, Ranked by Out-Degree:
ronald_vanloon
chidambara09
arkangelscrap
vivekghosal
max_lyashko
thecuriousluke
enrirosasdiaz
freetoopt
calcaware
_oliviabot
Top 10 Vertices, Ranked by Betweenness Centrality:
datasciencectrl
ronald_vanloon
kirkdborne
mrmiladfirouzi
digiuniverse
datarubix
schmarzo
ipfconline1
granvilledsc
enricomolinari
Top 10 Vertices, Ranked by Closeness Centrality:
datasciencectrl
ronald_vanloon
kirkdborne
schmarzo
ipfconline1
spirosmargaris
analyticbridge
andi_staub
arkangelscrap
vivekghosal
Top 10 Vertices, Ranked by Eigenvector Centrality:
datasciencectrl
ronald_vanloon
schmarzo
ipfconline1
kirkdborne
hitachivantara
granvilledsc
spirosmargaris
andi_staub
antgrasso
Top 10 Vertices, Ranked by PageRank:
datasciencectrl
ronald_vanloon
kirkdborne
schmarzo
ipfconline1
granvilledsc
hitachivantara
cloudexpo
spirosmargaris
analyticbridge
Top Relationship in Entire Graph:
[1411] Retweet
[1338] Mentions
[275] Tweet
[30] Replies to
Top Relationship in G1:
[976] Retweet
[275] Tweet
[259] Mentions
[25] Replies to
Top Relationship in G2:
[464] Mentions
[173] Retweet
[2] Replies to
Top Relationship in G3:
[511] Mentions
[186] Retweet
[1] Replies to
Top Relationship in G4:
[35] Mentions
[22] Retweet
[1] Replies to
Top Relationship in G5:
[7] Mentions
[1] Retweet
Top Relationship in G6:
[20] Mentions
[14] Retweet
Top Relationship in G7:
[39] Retweet
[27] Mentions
Top Relationship in G8:
[1] Mentions
Top Relationship in G9:
[2] Mentions
[1] Replies to
Top Relationship in G10:
[4] Mentions
Top Tweet in Entire Graph:
[77] 10 Visualizations Every Data Scientist Should Know
https://t.co/uYYjY6qiOr[69] The Mathematics of #MachineLearning
by @granvilledsc @DataScienceCtrl |
Read more here:
https://t.co/tlMgNVAbkK
#DeepLearning #DL #DataScience #DataAnalytics #Analysis #ML #Tensorflow #Mathematics #Algorithms
cc: @rsalakhu @vrohani
https://t.co/g6591XbQaq https://t.co/bcmAOGfPa9[50] 33 Statistical Concepts Explained in Simple English - Part 14
https://t.co/jOtESEM9XK[44] Design Thinking: Future-proof Yourself from #AI [#INFOGRAPHICS]
by @schmarzo @DataScienceCtrl |
Read more at
https://t.co/PQj2GJwE7z
#ML #MachineLearning #MachineIntelligence #BigData #Analysis #Algorithms #DeepLearning
Cc: @jblefevre60
https://t.co/LPABBf0AcA https://t.co/RXfVv1mOjv[44] 20 Cheat Sheets: Python, ML, Data Science, R, and More
https://t.co/xQWlyawDyV[35] What are inherent differences between the work of a BI analyst and a #DataScientist? Find out @DataScienceCtrl: @HitachiVantara @CloudExpo @ipfconline1
https://t.co/ib4jaomDxl https://t.co/wMtUD6Yl84[30] 12 #Python Resources for #DataScience
by @granvilleDSC @DataScienceCtrl |
Read more at
https://t.co/MxaXSUXaBo
#BigData #DataAnalytics #Python #MachineLearning #ML #Analytics #DataScientist
cc: @miketamir @gekobraa @gcosma1
https://t.co/xyxTu3fzLX https://t.co/J3sANNUEDd[30] Value Engineering: The Secret Sauce for #DataScience Success
https://t.co/tmGPly6WON by @schmarzo v/ @DataScienceCtrl
#BigData #AI #DigitalTransformation #IoT
Cc @HitachiVantara @KirkDBorne @SpirosMargaris @andi_staub @antgrasso @Fisher85M
https://t.co/pX2NO6h2Uk[29] #DataScience Summarized in One Picture
by @granvilledsc @DataScienceCtrl |
Read more at
https://t.co/YzsGk3BAl0
#MachineLearning #ML #IoT #InternetOfThings #DeepLearning #DL #ConnectedDevices #DataViz #Visualization #BigData
cc: @strataconf
https://t.co/OpclMAGYjw https://t.co/VbeB32xu7c[29] Difference of Data Science, Machine Learning and Data Mining
https://t.co/2F3kTkQqHgTop Tweet in G1:
[64] 10 Visualizations Every Data Scientist Should Know
https://t.co/uYYjY6qiOr[44] 33 Statistical Concepts Explained in Simple English - Part 14
https://t.co/jOtESEM9XK[37] 20 Cheat Sheets: Python, ML, Data Science, R, and More
https://t.co/xQWlyawDyV[22] Bayes Theorem in One Picture
https://t.co/eeIFFsxmgK[20] 26 Great Articles and Tutorials about Regression Analysis
https://t.co/MTwFl1vRav[19] Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics
https://t.co/5Jtu84dhrD[18] Difference of Data Science, Machine Learning and Data Mining
https://t.co/2F3kTkQqHg[16] Creating Your First Machine Learning Classifier Model in Sklearn
https://t.co/dPbyK569Uh[15] Finance basics for data scientists
https://t.co/8QGFZ6OK5H[14] Data is Not Oil. It is Land
https://t.co/kE5cJcBFcSTop Tweet in G2:
[61] The Mathematics of #MachineLearning
by @granvilledsc @DataScienceCtrl |
Read more here:
https://t.co/tlMgNVAbkK
#DeepLearning #DL #DataScience #DataAnalytics #Analysis #ML #Tensorflow #Mathematics #Algorithms
cc: @rsalakhu @vrohani
https://t.co/g6591XbQaq https://t.co/bcmAOGfPa9[26] 12 #Python Resources for #DataScience
by @granvilleDSC @DataScienceCtrl |
Read more at
https://t.co/MxaXSUXaBo
#BigData #DataAnalytics #Python #MachineLearning #ML #Analytics #DataScientist
cc: @miketamir @gekobraa @gcosma1
https://t.co/xyxTu3fzLX https://t.co/J3sANNUEDd[25] #DataScience Summarized in One Picture
by @granvilledsc @DataScienceCtrl |
Read more at
https://t.co/YzsGk3BAl0
#MachineLearning #ML #IoT #InternetOfThings #DeepLearning #DL #ConnectedDevices #DataViz #Visualization #BigData
cc: @strataconf
https://t.co/OpclMAGYjw https://t.co/VbeB32xu7c[16] The Future of #DataScience in One Picture
by @granvilledsc @DataScienceCtrl @AnalyticBridge @BoozAllen |
Read more here
https://t.co/yfc5YZUBaM
#BigData #InternetOfThings #IoT #Algorithms #NaturalLanguageProcessing #CyberSecurity
cc: @dpatil
https://t.co/MwKoAI74CS https://t.co/VJ951Tu2jp[15] The Future of #DataScience in One Picture
by @granvilledsc @DataScienceCtrl @AnalyticBridge @BoozAllen |
Read more here
https://t.co/yfc5YZCZMc
#BigData #InternetOfThings #IoT #Algorithms #NaturalLanguageProcessing #CyberSecurity
cc: @dpatil
https://t.co/rNfhYsKSLT https://t.co/VMXtUEiFVO[14] Boost your #datascience skills. Learn linear algebra.
by @DataScienceCtrl |
Read more at
https://t.co/CPuVrVRqC9
#DeepLearning #DL #MachineLearning #algorithms #BigData #Analytics
Cc: @kdnuggets @randal_olson @openai @drfeifei
https://t.co/72sq7skGhp https://t.co/qrNfYfONka[13] 7 Visualizations You Should Learn in R
by @DataScienceCtrl |
Read more here:
https://t.co/MLtUMxSHn5
#BigData #Programming #Starter #Data #Technology #MachineLearning #ML #DataViz #Visualization
Cc: @techreview @rwang0 @simonlporter
https://t.co/1JdyKW3yPO https://t.co/7x5ERu733O[12] 7 Visualizations You Should Learn in R
by @DataScienceCtrl |
Read more here:
#BigData #Programming #Starter #Data #Technology #MachineLearning #ML #DataViz #Visualization ...
https://t.co/MLtUMxSHn5 https://t.co/1JdyKW3yPO https://t.co/A7EEDdmkKQ https://t.co/GtqhuEfMKe[12] Astronomers Find 18 New Exoplanets
by @RT_America
#Digital #DataScience #Technology #Data #DataAnalytics #Analysis #Internet #DataScientist
Cc: @ronald_vanloon @hansrosling @analyticbridge @dez_blanchfield @datasciencectrl
https://t.co/Iex6x37VbZ[11] #MachineLearning Summarized in One Picture
by @granvilledsc @DataScienceCtrl @AnalyticBridge |
Read more here:
https://t.co/h7D7Lkyp0H
#DataScience #ML #Classification #Regression #Clustering #NeuralNetworks #BigData #Analytics
cc: @jackclarksf
https://t.co/2C6XaXqjEnTop Tweet in G3:
[30] What are inherent differences between the work of a BI analyst and a #DataScientist? Find out @DataScienceCtrl: @HitachiVantara @CloudExpo @ipfconline1
https://t.co/ib4jaomDxl https://t.co/wMtUD6Yl84[28] Value Engineering: The Secret Sauce for #DataScience Success
https://t.co/tmGPly6WON by @schmarzo v/ @DataScienceCtrl
#BigData #AI #DigitalTransformation #IoT
Cc @HitachiVantara @KirkDBorne @SpirosMargaris @andi_staub @antgrasso @Fisher85M
https://t.co/pX2NO6h2Uk[27] #DeepLearning Explainability: Hints from Physics
https://t.co/KlOSWX6jT1 @marcotav65 v/ @DataScienceCtrl
#XAI #AIEthics#AI #MachineLearning
Cc @DeepLearn007 @KirkDBorne @SpirosMargaris @JimMarous @antgrasso @MiaD @AlaricAloor @psb_dc @AkwyZ @AghiathChbib
https://t.co/KcNNWBtqCf[23] Did you know 🤔 💭#DesignThinking humanizes #datascience? Get an inside look at the topic and other content that comprises The Art of Thinking Like a #DataScientist Workbook @DataScienceCtrl👉: @HitachiVantara @CloudExpo @ipfconline1
https://t.co/5RCLJ3krck https://t.co/yFWuR9RFcC[19] Value Engineering: The Secret Sauce for #DataScience Success
https://t.co/tmGPly6WON by @schmarzo v/ @DataScienceCtrl
#BigData #AI #DigitalTransformation #IoT
Cc @HitachiVantara @KirkDBorne @SpirosMargaris @andi_staub @antgrasso @Fisher85M
https://t.co/111c7TTckL[17] How the Economics of #DataScience is Creating New Sources of Value
https://t.co/xwOTToztEC by @schmarzo v/ @DataScienceCtrl
#BigData #AI #DigitalTransformation
Cc @HitachiVantara @KirkDBorne @SpirosMargaris @andi_staub @antgrasso
https://t.co/7oyGrdqGLh[17] Causality – The Next Most Important Thing in Artificial IntelligenceI/#MachineLearning
https://t.co/myX6JXFG1I by @WilliamVorhies v/ @DataScienceCtrl
#AI #DataScience #BigData #Analytics
Cc @DeepLearn007 @JimMarous @SpirosMargaris @KirkDBorne @schmarzo
https://t.co/yVCvVQHk0Q[16] How GANs and Adaptive Content Will Change Learning, Entertainment & More
https://t.co/qzomG65ezw by @schmarzo v/ @DataScienceCtrl
#MachineLearning #DeepLearning #DataScience #BigData #AI #DigitalTransformation
Cc @HitachiVantara @KirkDBorne @SpirosMargaris @andi_staub @antgrasso
https://t.co/yR6iLnUq12[14] 5 key takeaways for #datascience team effectiveness your #datascientists should be employing. Take a look 👩🚀@DataScienceCtrl: @HitachiVantara @CloudExpo @ipfconline1
https://t.co/nSrJXdpO8u https://t.co/kDXGq8NFhb[11] Design Thinking: Future-proof Yourself from #AI [#INFOGRAPHICS]
by @schmarzo @DataScienceCtrl |
Read more at
https://t.co/PQj2GJwE7z
#ML #MachineLearning #MachineIntelligence #BigData #Analysis #Algorithms #DeepLearning
Cc: @jblefevre60
https://t.co/LPABBf0AcA https://t.co/RXfVv1mOjvTop Tweet in G4:
[21] Design Thinking: Future-proof Yourself from #AI [#INFOGRAPHICS]
by @schmarzo @DataScienceCtrl |
Read more at
https://t.co/PQj2GJwE7z
#ML #MachineLearning #MachineIntelligence #BigData #Analysis #Algorithms #DeepLearning
Cc: @jblefevre60
https://t.co/LPABBf0AcA https://t.co/RXfVv1mOjv[3] "Imagination is more important than knowledge." - Albert Einstein
@mvollmer1 @thomas_dettling @DataScienceCtrl @DrHolzwarth @antgrasso @FGraillot @alvinfoo @YuHelenYu @helene_wpli @coffeeandsteph @SpirosMargaris @MikeQuindazzi @jblefevre60
https://t.co/h6D96XaHL6[2] #SouthKorea is lauching a 10 gigabit per second internet service for better #business TY @wef via @enricomolinari
#5G #mobile #digital #finserv #innovation #AI #payments
@KirkDBorne @schmarzo @kdnuggets @DataScienceCtrl @bobehayes @pierrepinna @gp_pulipaka @efipm @fintechna
https://t.co/GNvOrbTY5v[1] Astonishing Hierarchy of Machine Learning Needs
https://t.co/btvPvpzLq1[1] Popular data warehouse architectures
https://t.co/IpKnHm82aG[1] Limitations of Hadoop How to overcome Hadoop drawbacks
https://t.co/AntME0lndM[1] This past week's top content for #DataScientists at @DataScienceCtrl
https://t.co/s8FMaMO1qx
includes “#MachineLearning vs. #Statistics vs. Statistical Learning"
…and more!
——————
#BigData #DataScience #StatisticalLiteracy #AI #DeepLearning #Mathematics #Python #abdsc
https://t.co/UdsrPu3WYk[1] Building new worlds with data science
https://t.co/K0Dpg2fgLz[1] 5 Tips for Making Better Business Decisions
https://t.co/2ACcOuei3j[1] Deploying Natural Language Processing for Product Reviews
https://t.co/UckJnMunHOTop Tweet in G5:
[6] The Best Way to Get Started with #ArtificialIntelligence
https://t.co/v7p8PvjSP4
#Technology #AI #Automation @DataScienceCtrl @antgrasso @AlaricAloor @fklivestolearn @fogle_shane @imoyse @avrohomg @DrJDrooghaag @BillMew @sallyeaves @mary_gambara @MarshaCollier
[1] Tomorrow’s #DigitalTransformation Battles Will Be Fought at the Edge
https://t.co/OGBdvCPH1j
#BigData #EdgeComputing #ThursdayMorning #ThursdayThoughts @DataScienceCtrl @ipfconline1 @SpirosMargaris @mclynd @sallyeaves @diioannid @jerome_joffre @kalydeoo
https://t.co/ol3U6WnOlg[1] 33 Statistical Concepts Explained in Simple English - Part 14
https://t.co/jOtESEM9XKTop Tweet in G6:
[3] Value Engineering: The Secret Sauce For #DataScience Success
by @schmarzo @DataScienceCtrl
Read more
https://t.co/bd9kCxmkDB
#AI #IoT #BigData #MachineLearning #ArtificialIntelligence #Cloud #ML #MI #InternetofThings
Cc: @ipfconline1 @ronald_vanloon @karpathy
https://t.co/IgeYA6REWj[3] Here’s what could derail your #datascience initiatives:
https://t.co/Hcx8CYAbtJ #DataPrivacy #IT
@DataScienceCtrl @MikeQuindazzi @KirkDBorne @MrDataScience @peteskomoroch @ChanNaseeb @KirellBenzi @mrogati @granvilleDSC
@schmarzo @jjkardwell @markmadsen
https://t.co/Wd7b2Q3C2p[2] Over at @DataScienceCtrl, they cover the impact that #datascience can have on the #healthcare industry. For us, the ability to tackle both structured and #unstructureddata and gain insight is the bedrock for healthcare improvement.
Read everything here:
https://t.co/9pbQF0eLRw.
[1] Why Every Data Science Aspirant Should Learn Data Visualization
https://t.co/hgGvGMON7M[1] Detecting Fake News, Fake Reviews, Fake Accounts, Fake Pictures
https://t.co/oSoqPP70pA[1] Top 10 Challenges to Practicing Data Science at Work
https://t.co/FSPD7IWNoJ[1] 5 Myths About PhD Data Scientists
https://t.co/b7Z5Enz6xT[1] Value Engineering: The Secret Sauce for #DataScience Success
https://t.co/tmGPly6WON by @schmarzo v/ @DataScienceCtrl
#BigData #AI #DigitalTransformation #IoT
Cc @HitachiVantara @KirkDBorne @SpirosMargaris @andi_staub @antgrasso @Fisher85M
https://t.co/111c7TTckL[1] How do you determine which technology to use in your #datascience process? Answer @DataScienceCtrl: @HitachiVantara @CloudExpo @ipfconline1
https://t.co/2gTtwlkwwJ https://t.co/Za3LO0Vb0A[1] Value Engineering: The Secret Sauce for #DataScience Success
https://t.co/tmGPly6WON by @schmarzo v/ @DataScienceCtrl
#BigData #AI #DigitalTransformation #IoT
Cc @HitachiVantara @KirkDBorne @SpirosMargaris @andi_staub @antgrasso @Fisher85M
https://t.co/pX2NO6h2UkTop Tweet in G7:
[11] Introduction To Various Reinforcement Learning #Algorithms
by @ Andrea Manero-Bastin @DataScienceCtrl
Read more
https://t.co/BdisYID8TE
#AI #BigData #MachineLearning #ArtificialIntelligence #Cloud #ML #MI #DataScience
Cc: @kirkdborne @jeremyphoward @hardmaru
https://t.co/UH3Q6vpeco[2] Logistic Regression vs Decision Trees vs SVM: Part II
https://t.co/BfSHaF6Z9G[2] 29 Statistical Concepts Explained in Simple English - Part 3
https://t.co/In4VKV0qm8[2] Why is Vlookup (in Excel) 1,000 times slower than hash tables in Python?
https://t.co/fgHdwFbFAk[2] Apache Spark Introduction : A Comprehensive Guide for beginners
https://t.co/Zul1aV93LU[2] Finance basics for data scientists
https://t.co/8QGFZ6OK5H[2] 7 Visualizations You Should Learn in R
by @DataScienceCtrl |
Read more here:
#BigData #Programming #Starter #Data #Technology #MachineLearning #ML #DataViz #Visualization ...
https://t.co/MLtUMxSHn5 https://t.co/1JdyKW3yPO https://t.co/A7EEDdmkKQ https://t.co/GtqhuEfMKe[2] Design Patterns for Deep Learning Architectures
https://t.co/CB4XFcbfWX[2] Boosting the accuracy of your Machine Learning models
https://t.co/E5aWlGD6u4[2] 29 Statistical Concepts Explained in Simple English - Part 3
https://t.co/e3i2LIPZYn via @rightrelevance thanks @datasciencectrl
Top Tweet in G8:
[1] @DataScienceCtrl @analyticbridge @bigdata_SFU @BigAwards @bimedotcom @BI_Australia @chartdata @ASRomaData @DataAnalytic_Bs @ThePSF @planetpython @SciPyTip @europythons @DigikalaMag @DigikalaNext
Top Tweet in G9:
[1] Good read! @samiranghosh @KirkDBorne @schmarzo @ipfconline1 @Ronald_vanLoon @DataconomyMedia @DataScienceCtrl @TwitterHadoop
[1] @KirkDBorne @schmarzo @samiranghosh @emilygsands @IainLJBrown @Ronald_vanLoon @DataScienceCtrl @Glassdoor @Apple @Microsoft @IBMDataScience
[1] @samiranghosh @schmarzo @myadverity @OctopaiBI @DataconomyMedia @DataScienceCtrl @KirkDBorne @fabiomoioli
https://t.co/OJHffDg4iwTop Tweet in G10:
[4] The Worlds Of #AI And #Blockchain Are Colliding
by @kath0134 @Forbes
Go to
https://t.co/36kZAzADQl
#IoT #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience #5G #DL #Industry40 #Tech #Technology
Cc: @evankirstel @datasciencectrl @kdnuggets
https://t.co/4cdMpUInJ1Top URLs in Tweet in Entire Graph:
[78]
https://www.datasciencecentral.com/profiles/blogs/10-visualizations-every-data-scientist-should-know[69]
http://www.datasciencecentral.com/profiles/blogs/the-mathematics-of-machine-learning?utm_content=buffer1f591&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer[58]
https://www.datasciencecentral.com/profiles/blogs/value-engineering-the-secret-sauce-for-data-science-success?xg_source=activity[50]
https://www.datasciencecentral.com/profiles/blogs/29-statistical-concepts-explained-in-simple-english-part-14[44]
https://www.datasciencecentral.com/profiles/blogs/20-cheat-sheets-python-ml-data-science[38]
https://www.datasciencecentral.com/profiles/blogs/weekly-digest-september-9[31]
http://www.datasciencecentral.com/profiles/blogs/the-guide-to-learning-python-for-data-science[29]
https://www.datasciencecentral.com/profiles/blogs/deep-learning-explainability-hints-from-physics-1[29]
http://www.datasciencecentral.com/profiles/blogs/data-science-summarized-in-one-picture?utm_content=buffer6da62&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer[29]
https://www.datasciencecentral.com/profiles/blogs/difference-of-data-science-machine-learning-and-data-miningTop URLs in Tweet in G1:
[65]
https://www.datasciencecentral.com/profiles/blogs/10-visualizations-every-data-scientist-should-know[44]
https://www.datasciencecentral.com/profiles/blogs/29-statistical-concepts-explained-in-simple-english-part-14[37]
https://www.datasciencecentral.com/profiles/blogs/20-cheat-sheets-python-ml-data-science[22]
https://www.datasciencecentral.com/profiles/blogs/bayes-theorem-in-one-picture[20]
https://www.datasciencecentral.com/profiles/blogs/26-great-articles-and-tutorials-about-regression-analysis[20]
https://www.datasciencecentral.com/profiles/blogs/weekly-digest-september-9[19]
https://www.datasciencecentral.com/profiles/blogs/difference-between-machine-learning-data-science-ai-deep-learning?id=6448529:BlogPost:505006&page=2[18]
https://www.datasciencecentral.com/profiles/blogs/difference-of-data-science-machine-learning-and-data-mining[16]
https://www.datasciencecentral.com/profiles/blogs/creating-your-first-machine-learning-classifier-model-in-sklearn[15]
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[61]
http://www.datasciencecentral.com/profiles/blogs/the-mathematics-of-machine-learning?utm_content=buffer1f591&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer[27]
http://www.datasciencecentral.com/profiles/blogs/the-guide-to-learning-python-for-data-science[25]
http://www.datasciencecentral.com/profiles/blogs/data-science-summarized-in-one-picture?utm_content=buffer6da62&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer[16]
https://www.datasciencecentral.com/profiles/blogs/6448529:BlogPost:707763[15]
https://www.datavizualization.datasciencecentral.com/blog/7-visualizations-you-should-learn-in-r[9]
http://www.datasciencecentral.com/profiles/blogs/naive-bayes-classification-explained-with-python-code?overrideMobileRedirect=1[8]
https://www.datasciencecentral.com/profiles/blogs/bayesian-machine-learning-part-5[7]
https://mitsloan.mit.edu/ideas-made-to-matter/4-strategies-future-proofing-your-workforce?utm_medium=social&utm_source=twitter&utm_campaign=sep2019&utm_content=nfe[7]
http://www.datasciencecentral.com/group/resources/forum/topics/10-types-of-regressions-which-one-to-use?overrideMobileRedirect=1[6]
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[51]
https://www.datasciencecentral.com/profiles/blogs/value-engineering-the-secret-sauce-for-data-science-success?xg_source=activity[28]
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