Einleitung
Um mir einen Überblick über Data Science zu verschaffen, habe ich die Data-Science-Central-Homepage geharvested und nach interessanten Blogs gescreent. Die resultierende Liste von Artikeln habe ich Kategorien zugeordnet. Nachfolgend liste ich die 1057 verbliebenen Artikel nach Kategorie auf. Sie können anhand der Sie interessierenden Kategorien einfach interessante Data-Science-Central-Links finden.
Links zu Kategorien / Übersicht
- Allgemein
- Ausbildungen
- Begriffe
- Blogger & Meinungsführer
- CV-Tweaks
- Data Science
- Data Science Projekte
- Data Scientists
- Data Storytelling
- Data Warehousing
- Datenstrategie
- Empfehlungen
- Ethik
- Hackathons
- Hadoop vs. Spark
- Internet of Things
- Interviewfragen
- Jobverluste
- Jobwechsel
- Komplexitätsanalyse
- Präsentationen
- ROI von Data Science
- Überblicksseiten
- Softwareeinkauf
- Bücher
- Humor
- Software
- Statistik
- Trends
- Weiterbildung
- Algorithmen
- Amazon EMR
- Anomaly Detection
- Bayes
- Big Query
- Data Analytics
- Data Lake
- Data Mining
- Data Science
- Data Warehousing
- Datenbanken
- Datenbereinigung
- Datensicherheit
- Deep Learning
- Docker
- Explanatory Data Analysis
- Fraud Detection
- Fuzzylogik
- Internet of Things
- Komplexitätsanalyse
- Markov-Ketten
- Maschinelles Lernen
- Network Analysis
- Pattern Recognition
- Pentesting
- Predictive Analysis
- Sicherheit
- Systems Analytics
- Text Mining
- Visualisierung
- Sonstiges
Allgemein
Ausbildungen
Begriffe
- 0042: http://www.datasciencecentral.com/profiles/blogs/artificial-intelligence-and-cognitive-computing
- 0063: http://www.datasciencecentral.com/profiles/blogs/logistic-regression-vs-decision-trees-vs-svm-part-i
Blogger & Meinungsführer
CV-Tweaks
Data Science
- 0079: http://www.datasciencecentral.com/profiles/blogs/500-data-science-articles-made-visually-accessible
- 0080: http://www.datasciencecentral.com/profiles/blogs/analyzing-the-hype-around-big-data-a-balanced-view
- 0082: http://www.datasciencecentral.com/profiles/blogs/bigdata-analytics-and-supply-chain-management
- 0095: http://www.datasciencecentral.com/profiles/blogs/human-brain-vs-machine-learning-a-lost-battle
- 0099: http://www.datasciencecentral.com/profiles/blogs/is-data-science-a-new-paradigm-or-recycled-material
- 0100: http://www.datasciencecentral.com/profiles/blogs/machine-learning-is-not-better-than-human-learning
- 0105: http://www.datasciencecentral.com/profiles/blogs/ten-general-principles-in-data-mining-science
- 0107: http://www.datasciencecentral.com/profiles/blogs/the-data-science-ecosystem-in-one-tidy-infographic
- 0108: http://www.datasciencecentral.com/profiles/blogs/the-data-supply-chain-and-master-data-management
- 0109: http://www.datasciencecentral.com/profiles/blogs/the-data-triangle-a-simple-framework-for-data
- 0113: http://www.datasciencecentral.com/profiles/blogs/twelve-types-of-artificial-intelligence-ai-problems
- 0120: http://www.datasciencecentral.com/profiles/blogs/ensuring-success-of-early-modeling-initiatives
- 0130: http://www.datasciencecentral.com/profiles/blogs/the-seven-people-you-need-on-your-big-data-team
- 0132: http://www.datasciencecentral.com/profiles/blogs/what-roles-do-you-need-in-your-data-science-team
- 0134: http://www.datasciencecentral.com/profiles/blogs/6-often-forgotten-roi-factors-in-data-analytics
Data Science Projekte
- 0140: http://www.datasciencecentral.com/profiles/blogs/ensuring-success-of-early-modeling-initiatives
- 0150: http://www.datasciencecentral.com/profiles/blogs/the-seven-people-you-need-on-your-big-data-team
- 0152: http://www.datasciencecentral.com/profiles/blogs/what-roles-do-you-need-in-your-data-science-team
Data Scientists
- 0162: http://www.datasciencecentral.com/profiles/blogs/9-steps-to-become-a-data-scientist-from-scratch
- 0166: http://www.datasciencecentral.com/profiles/blogs/data-scientists-automated-and-unemployed-by-2025
- 0173: http://www.datasciencecentral.com/profiles/blogs/o-reilly-2015-salary-survey-for-data-scientists
- 0176: http://www.datasciencecentral.com/profiles/blogs/the-data-scientist-buble-has-started-to-explode
- 0177: http://www.datasciencecentral.com/profiles/blogs/thee-myths-about-data-scientists-and-big-data
Data Storytelling
Data Warehousing
Datenstrategie
- 0186: http://www.datasciencecentral.com/forum/topics/what-is-data-strategy-does-your-organization-need-one
Empfehlungen
Ethik
Hackathons
Hadoop vs. Spark
Internet of Things
Interviewfragen
- 0194: http://www.datasciencecentral.com/profiles/blogs/r-programming-job-interview-questions-and-answers
Jobverluste
Jobwechsel
- 0198: http://www.datasciencecentral.com/forum/topics/best-way-to-change-careers-and-get-into-data-science
Komplexitätsanalyse
- 0199: http://www.datasciencecentral.com/profiles/blogs/sweet-and-short-introduction-to-complexity-science
Pareto-Prinzip
Präsentationen
ROI von Data Science
- 0203: http://www.datasciencecentral.com/profiles/blogs/6-often-forgotten-roi-factors-in-data-analytics
Überblicksseiten
Softwareeinkauf
- 0206: http://www.datasciencecentral.com/profiles/blogs/8-factors-to-consider-before-buying-bi-software
Bücher
Data Mining
Data Science
- 0212: http://www.datasciencecentral.com/profiles/blogs/ten-signs-of-data-science-maturity-free-ebook
Data Scientists
Deep Learning
Internet of Things
Maschinelles Lernen
- 0219: http://www.datasciencecentral.com/profiles/blogs/book-machine-learning-algorithms-from-scratch
Predictive Analysis
R
- 0224: http://www.datasciencecentral.com/profiles/blogs/book-advanced-r-chapman-hall-crc-the-r-series
Statistik
Statistisches Lernen
- 0227: http://www.datasciencecentral.com/profiles/blogs/book-neural-networks-and-statistical-learning
Visualisierung
- 0228: http://www.datasciencecentral.com/group/announcements/forum/topics/visual-best-practices-a-guidebook
Humor
Comics
Geeky Stuff
Poster
Videos
Software
Amazon Web Services
Apache Beam
Apache Drill
Apache Spark
Cassandra
DataJoy
Dmelt
Excel
- 0256: http://www.datasciencecentral.com/profiles/blogs/5-excel-add-ins-every-data-scientist-should-install
- 0258: http://www.datasciencecentral.com/profiles/blogs/an-excel-tutorial-on-analyzing-large-data-sets
- 0260: http://www.datasciencecentral.com/profiles/blogs/excel-to-html-and-other-data-format-conversions
Free Tools
- 0262: http://www.datasciencecentral.com/profiles/blogs/data-science-software-tools-that-cost-nothing
Geo-Tools
Hadoop
- 0270: http://www.datasciencecentral.com/profiles/blogs/11-great-hadoop-spark-and-map-reduce-articles
Java
- 0279: http://www.datasciencecentral.com/profiles/blogs/10-popular-java-machine-learning-tools-libraries
- 0285: http://www.datasciencecentral.com/profiles/blogs/data-analysis-using-python-on-the-java-platform
Julia
Python
R
- 0290: http://www.datasciencecentral.com/forum/topics/100-r-tutorials-code-snippets-libraries-and-resources
- 0296: http://www.datasciencecentral.com/forum/topics/timeline-r-packages-from-most-prolific-r-developer
- 0298: http://www.datasciencecentral.com/group/announcements/forum/topics/how-to-become-an-r-power-user
- 0306: http://www.datasciencecentral.com/group/tutorials/forum/topics/cheat-sheet-data-visualization-with-r
- 0312: http://www.datasciencecentral.com/profiles/blogs/automatically-deskew-before-machine-learning-in-r
- 0318: http://www.datasciencecentral.com/profiles/blogs/comprehensive-guide-for-data-exploration-in-r
- 0321: http://www.datasciencecentral.com/profiles/blogs/data-mining-association-rules-in-r-diapers-and-beer
- 0333: http://www.datasciencecentral.com/profiles/blogs/exponential-smoothing-of-time-series-data-in-r
- 0335: http://www.datasciencecentral.com/profiles/blogs/gapminder-data-visualization-using-googlevis-and-r
- 0341: http://www.datasciencecentral.com/profiles/blogs/how-to-forecast-using-regression-analysis-in-r
- 0342: http://www.datasciencecentral.com/profiles/blogs/how-to-parallel-programming-in-r-and-python-video
- 0344: http://www.datasciencecentral.com/profiles/blogs/implementing-the-gradient-descent-algorithm-in-r
- 0345: http://www.datasciencecentral.com/profiles/blogs/implemetation-of-17-classification-algorithms-in-r
- 0347: http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r
- 0348: http://www.datasciencecentral.com/profiles/blogs/optimal-binning-for-scoring-modeling-r-package
- 0361: http://www.datasciencecentral.com/profiles/blogs/r-resource-guide-for-quantitative-data-scientist
- 0364: http://www.datasciencecentral.com/profiles/blogs/simulating-data-to-combat-illegal-fishing-in-r
SciDB
Spark
Tensorflow
Statistik
Aspekte
- 0388: http://www.datasciencecentral.com/forum/topics/how-to-determine-the-optimum-number-of-variables
- 0400: http://www.datasciencecentral.com/group/research/forum/topics/correlation-and-r-squared-for-big-data
- 0409: http://www.datasciencecentral.com/profiles/blogs/a-fun-little-problem-of-constraints-associations
- 0410: http://www.datasciencecentral.com/profiles/blogs/an-introduction-to-variable-and-feature-selection
- 0414: http://www.datasciencecentral.com/profiles/blogs/avoiding-look-ahead-bias-in-time-series-modelling-1
- 0421: http://www.datasciencecentral.com/profiles/blogs/distribution-of-arrival-times-of-extreme-events
- 0429: http://www.datasciencecentral.com/profiles/blogs/how-to-create-a-best-fitting-regression-model
- 0436: http://www.datasciencecentral.com/profiles/blogs/learn-the-concept-of-linearity-in-regression-models
- 0442: http://www.datasciencecentral.com/profiles/blogs/multicollinearity-a-problem-or-an-opportunity
- 0451: http://www.datasciencecentral.com/profiles/blogs/solving-poisson-distribution-problems-using-scipy
- 0459: http://www.datasciencecentral.com/profiles/blogs/the-deadly-data-science-sin-of-confirmation-bias
- 0460: http://www.datasciencecentral.com/profiles/blogs/the-death-of-the-statistical-test-of-hypothesis
- 0461: http://www.datasciencecentral.com/profiles/blogs/the-most-common-analytical-and-statistical-mistakes
- 0466: http://www.datasciencecentral.com/profiles/blogs/what-statisticians-think-about-data-scientists
Meinung zu Data Science
Tests
Trends
Business Intelligence
Data Science
- 0473: http://www.datasciencecentral.com/forum/topics/20-data-science-and-ml-topics-getting-big-traction
Data Science und Maschinelles Lernen
- 0475: http://www.datasciencecentral.com/forum/topics/20-data-science-and-ml-topics-getting-big-traction
Disruptive Technologien
E-Mail und Pdf
IT
Maschinelles Lernen
- 0479: http://www.datasciencecentral.com/forum/topics/20-data-science-and-ml-topics-getting-big-traction
- 0480: http://www.datasciencecentral.com/profiles/blogs/data-science-machine-learning-iot-2017-predictions
Nachhaltigkeit der Profession Data Science
Schlagwörter
Weiterbildung
Algorithmen
- 0499: http://www.datasciencecentral.com/forum/topics/tag-and-sense-methods-in-statistical-sample-surveys-a
- 0511: http://www.datasciencecentral.com/profiles/blogs/12-algorithms-every-data-scientist-should-know
- 0512: http://www.datasciencecentral.com/profiles/blogs/88-per-cent-of-all-integers-have-a-factor-under-100
- 0523: http://www.datasciencecentral.com/profiles/blogs/building-an-algorithm-to-break-strong-encryption
- 0526: http://www.datasciencecentral.com/profiles/blogs/building-better-search-tools-problems-and-solutions
- 0529: http://www.datasciencecentral.com/profiles/blogs/choosing-features-for-random-forests-algorithm
- 0536: http://www.datasciencecentral.com/profiles/blogs/feature-engineering-for-building-clustering-models
- 0557: http://www.datasciencecentral.com/profiles/blogs/in-place-computing-model-for-big-and-complex-data
- 0574: http://www.datasciencecentral.com/profiles/blogs/simpson-s-paradox-in-the-age-of-real-time-analytics
- 0583: http://www.datasciencecentral.com/profiles/blogs/towards-a-new-data-modelling-architecture-part-2
Amazon EMR
Anomaly Detection
Bayes
- 0594: http://www.datasciencecentral.com/profiles/blogs/missing-values-imputation-with-bayesian-networks
BigQuery
Data Analytics
Data Lake
Data Mining
Data Science
- 0606: http://www.datasciencecentral.com/profiles/blogs/another-interesting-data-science-is-dead-article
Data Warehousing
Datenbanken
- 0615: http://www.datasciencecentral.com/forum/topics/which-data-model-to-use-for-website-performance-data
- 0618: http://www.datasciencecentral.com/profiles/blogs/11-features-any-database-sql-or-nosql-should-have
- 0619: http://www.datasciencecentral.com/profiles/blogs/18-free-and-widely-used-open-source-nosql-databases
- 0630: http://www.datasciencecentral.com/profiles/blogs/geography-of-data-restoring-the-transpositional
- 0632: http://www.datasciencecentral.com/profiles/blogs/gui-software-for-database-performance-management
Datenbereinigung
- 0662: http://www.datasciencecentral.com/profiles/blogs/in-big-data-preparing-the-data-is-most-of-the-work
- 0664: http://www.datasciencecentral.com/profiles/blogs/why-data-preparation-should-not-be-overlooked
Datensicherheit
Deep Learning
- 0667: http://www.datasciencecentral.com/forum/topics/integrating-deep-structure-analytics-to-social-media
- 0674: http://www.datasciencecentral.com/profiles/blogs/beyond-deep-learning-3rd-generation-neural-nets
- 0677: http://www.datasciencecentral.com/profiles/blogs/deep-learning-artificial-intelligence-is-important
- 0689: http://www.datasciencecentral.com/profiles/blogs/interpretability-the-next-deep-learning-challenge
- 0693: http://www.datasciencecentral.com/profiles/blogs/must-know-tips-tricks-in-deep-neural-networks
Docker
Explanatory Data Analysis
Fraud Detection
Fuzzylogik
Internet of Things
- 0721: http://www.datasciencecentral.com/profiles/blogs/industrial-iot-analytics-5-levels-of-maturity
- 0728: http://www.datasciencecentral.com/profiles/blogs/iot-analytics-edge-computing-and-smart-objects
- 0734: http://www.datasciencecentral.com/profiles/blogs/the-internet-of-things-data-science-and-big-data
Komplexitätsanalyse
Markov-Ketten
Maschinelles Lernen
- 0746: http://www.datasciencecentral.com/forum/topics/pattern-recognition-to-solve-deadly-amtrak-crash
- 0760: http://www.datasciencecentral.com/profiles/blogs/aster-and-generalized-linear-model-functionality
- 0776: http://www.datasciencecentral.com/profiles/blogs/how-nosql-fundamentally-changed-machine-learning
- 0783: http://www.datasciencecentral.com/profiles/blogs/learn-support-vector-machine-svm-from-scratch-in-r
- 0797: http://www.datasciencecentral.com/profiles/blogs/regression-prediction-using-aws-machine-learning
- 0803: http://www.datasciencecentral.com/profiles/blogs/the-current-state-of-machine-intelligence-3-0
- 0812: http://www.datasciencecentral.com/profiles/blogs/using-genetic-algorithms-to-optimize-legal-costs
- 0815: http://www.datasciencecentral.com/profiles/blogs/which-machine-learning-algorithm-should-i-use
Network Analysis
- 0819: http://www.datasciencecentral.com/profiles/blogs/data-mining-for-predictive-social-network-analysis
- 0822: http://www.datasciencecentral.com/profiles/blogs/social-networks-how-to-measure-user-engagement
Pattern Recognition
Pentesting
Predictive Analysis
- 0825: http://www.datasciencecentral.com/forum/topics/using-phone-call-recordings-for-predictive-modeling
- 0829: http://www.datasciencecentral.com/profiles/blogs/predicting-records-highs-or-lows-how-to-do-it-right
- 0838: http://www.datasciencecentral.com/profiles/blogs/selecting-forecasting-methods-in-data-science
- 0840: http://www.datasciencecentral.com/profiles/blogs/the-value-of-accuracy-in-predictive-analytics
Sicherheit
- 0848: http://www.datasciencecentral.com/profiles/blogs/the-top-cloud-computing-vulnerabilities-and-threats
Systems Analytics
Text Mining
- 0861: http://www.datasciencecentral.com/profiles/blogs/can-context-extraction-replace-sentiment-analysis
- 0866: http://www.datasciencecentral.com/profiles/blogs/impactful-text-analytics-for-smarter-businesses
Visualisierung
- 0886: http://www.datasciencecentral.com/forum/topics/open-source-solutions-for-interactive-dashboards
- 0887: http://www.datasciencecentral.com/group/announcements/forum/topics/advanced-analytics-with-tableau
- 0889: http://www.datasciencecentral.com/group/announcements/forum/topics/designing-great-visualizations
- 0894: http://www.datasciencecentral.com/group/announcements/forum/topics/time-data-beyond-the-line-chart
- 0895: http://www.datasciencecentral.com/group/announcements/forum/topics/visual-analysis-best-practices
- 0896: http://www.datasciencecentral.com/group/announcements/forum/topics/visualize-a-connected-world
- 0898: http://www.datasciencecentral.com/group/resources/forum/topics/30-basic-tools-for-data-visualization
- 0902: http://www.datasciencecentral.com/profiles/blogs/17-amazing-infographics-and-other-visual-tutorials
- 0906: http://www.datasciencecentral.com/profiles/blogs/7-key-ingredients-for-knock-out-data-visualizations
- 0910: http://www.datasciencecentral.com/profiles/blogs/datamelt-1-5-with-improved-3d-graphics-is-released
- 0919: http://www.datasciencecentral.com/profiles/blogs/how-to-solve-complex-computations-in-the-report
- 0929: http://www.datasciencecentral.com/profiles/blogs/visual-dashboards-that-persuade-inform-and-engage
- 0934: http://www.datasciencecentral.com/profiles/blogs/visualizing-bagged-trees-as-approximating-borders
Sonstiges
A/B-Testing
- 0936: http://www.datasciencecentral.com/forum/topics/effect-of-novelty-on-returning-users-on-a-b-testing
Argumentation
ARM-Prozessor
Automatisierung von Data Science
Behavioral Analytics
Benchmarking
Berlin
Bilanzanalyse
Biometrie
Blockchain
Boltzmann
Botnets
- 0947: http://www.datasciencecentral.com/profiles/blogs/botnets-on-the-cloud-the-new-generation-of-spammers
Chatbots
Crowdflower
Crowdsourcing
- 0950: http://www.datasciencecentral.com/profiles/blogs/crowdsourced-q-a-with-peter-norvig-on-data-science
Data Analytics in der Regierungsarbeit
Data Science Wettbewerbe
Datenalphabetisierung
Dateninstrumentalismus
Datenqualität
- 0956: http://www.datasciencecentral.com/forum/topics/how-important-is-data-quality-for-analytics-vs-bi
Drohnen
E-Mail-Kampangen
Ebola
Entscheidungsunterstützung
- 0970: http://www.datasciencecentral.com/profiles/blogs/insight-driven-vs-intuition-driven-decision-making
Erdbeben
Erregermanagement
Evolution
Fake Data
Fake News
Flughäfen
Functional Programming
G 20
Gamification
Gaming
Gehirntraining
Gesichtserkennung
Gesundheit, Wohlstand und Ungleichheit
Hacking-Y-Combinator
Handschrifterkennung
- 0992: http://www.datasciencecentral.com/profiles/blogs/training-a-computer-to-recognize-your-handwriting
Hardware
Heatmaps
Human Resources
Illegalität
- 1006: http://www.datasciencecentral.com/profiles/blogs/doing-illegal-data-science-without-knowing-it
Immobilienbranche
Interneterklärungen
Investment in BI-Tools
Jobverluste
Journalismus
- 1012: http://www.datasciencecentral.com/profiles/blogs/this-just-in-how-big-data-is-changing-journalism
Klimawandel
Kriminalitätsstatistik
Landwirtschaft
LinkedIn-Gruppen
Marktsegmentierung
Mathematik
Medizin
- 1022: http://www.datasciencecentral.com/profiles/blogs/using-decision-trees-in-evidence-based-medicine
Menschen mit Behinderungen
- 1023: http://www.datasciencecentral.com/profiles/blogs/how-big-data-is-affecting-those-facing-disabilities
Migration in der EU
Militärsimulationen
- 1025: http://www.datasciencecentral.com/forum/topics/simulating-military-operations-before-going-to-war
Moore´s law
Mordstatistik
Nahrungsmittelpreisanalyse
NASA
Neurochemie
NOAA-Analyse
Open Data
Organisationale Simulationen
- 1034: http://www.datasciencecentral.com/profiles/blogs/qualitative-engine-for-organizational-simulations
Pareto-Prinzip
Passwörter
- 1036: http://www.datasciencecentral.com/forum/topics/could-big-data-mean-the-death-or-typed-passwords
PHP-Testing
Politische Propaganda
Politische Wahlen
Portfoliotheorie
Produktivität
- 1042: http://www.datasciencecentral.com/profiles/blogs/at-what-time-in-the-day-are-we-most-productive
Produktmanager
Psychologie
Qualitätsmanagement
Rauchen und die Krebserkrankung
Reverse Data Science
Riemann-Hypothese
Risikokapital
SaaS
- 1051: http://www.datasciencecentral.com/profiles/blogs/major-considerations-when-moving-to-a-saas-model
Überlebenswahrscheinlichkeitsanalyse
Scoring-Modelle
Search Engins
Selbstbedienungsdatenanalyse
Semantische Ebene
SEO
- 1059: http://www.datasciencecentral.com/forum/topics/how-and-why-to-talk-to-google-s-attribution-algorithm
Smart Apps
Smart Citys
Spracherkennung
Startup-Geschäftsmodelle
Steganographie
- 1065: http://www.datasciencecentral.com/profiles/blogs/interesting-data-science-application-steganography
Sterberate
Suchmaschinen
Symbolische Ausdrcke
Threads-Splitting
- 1071: http://www.datasciencecentral.com/profiles/blogs/twitter-as-a-platform-for-open-real-time-analytics
Öffentliche Datenbanken
Verhöre
Versicherungen
- 1075: http://www.datasciencecentral.com/profiles/blogs/a-new-wave-of-innovation-in-the-insurance-industry
VW-Skandal
Wachstum des Wissens
Walmart
Watson
Weibliche Intuition
Marius Alexander Schulz
Heutzutage strömen viele Dinge tagtäglich auf uns ein, die ich gerne analysiere und zwar schon mein leben lang: ich bin ein Analyst! Ich habe viel Empathie und möchte die Welt verbessern, dabei aber nicht träumen, sondern realistische Einschätzungen der Bedingungen erarbeiten: ich bin Bürger und habe eine gesellschaftliche Verantwortung! Ich gehe viel auf Beschwerden von Mitbürgern und die Themen der Zeit ein, weil ich mich für das Wohlergehen der Menschen um mich herum interessiere. Ich will selber planen können, besser werden und Zukunft verstehen!
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