Posts from the ‘BigML for Zapier’ Category

• Awarded Top 20 Machine Learning Blog

  

• Useful Links

  NEWSLETTER: Machine Learning Digest

  About BigML

  Public Data Sources

• Wendy and Sara show you what BigML can do for your business

• Recent Posts

  • Building Information Modeling (BIM): Machine Learning for the Construction Industry
  • The 4th Valencian Summer School in Machine Learning is Open for Enrollment
  • The Fusions Webinar Video is Here: Improve your Model Performance Through Algorithmic Diversity!
  • Text Analysis Enhancements: 22 Languages and More Pre-processing Options!
  • To Fuse or Not To Fuse Models?

• Categories

  • Algorithms
    • Anomaly Detection
    • Association Discovery
    • Bagging
    • Boosting
    • Clusters
    • Decision trees
    • Deepnets
    • Ensembles
    • Fusions
    • Logistic Regression
    • Random Decision Forest
    • Time Series
    • Topic Models
  • Business
    • Big Data
    • Case Study
    • Certifications
    • Education
    • Internationalization
    • Internships
    • Partners
    • Predictions
    • Regulations
  • Countries
    • Australia
    • New Zealand
    • Spain
  • Data
    • Datamarket
    • transformations
  • Industries
    • Accounting
    • Construction
    • Enterprise Applications
    • Finance
    • healthcare
    • Internet & Software
    • Law
    • Marketing
    • Recruitment
    • sales
  • Interfaces
    • Browser
    • iPad
    • Mobile
  • Languages
    • Clojure
    • Developers
    • Objective C
    • Python
    • SQL
    • Swift
  • Machine Learning
    • Feature Engineering
    • Importance
    • Streaming Data
  • Miscellaneous
    • Fun
    • Human Resources
    • Post-mortem
    • Security & Privacy
    • society
    • Sports
    • Start up
    • Uncategorized
  • News & Events
    • 2ML
    • AI Startup Battle
    • IP
    • Marketing
    • Meeting
    • PAPIs
    • PAPIs Connect
    • Summer School
  • PreSeries
  • Product
    • Alpha Launch
    • API
    • BigML for Alexa
    • BigML for Zapier
    • BigML-GAS
    • BigML.io
    • BigMLer
    • Dashboard
    • Development Mode
    • Flatline
    • New Features
    • Operating Thresholds
    • OptiML
    • Organizations
    • Release
    • SDK
    • Visualization
    • WhizzML
      • Flatline
  • Resources
    • Gallery
    • Model of the Week
    • Open Source
    • Scripting
    • Testimonials
    • Throwdown
    • Training & Certification
    • Tutorial
    • Video
    • Webinar

• Tags

  2ML 2ML18 AI Startup Battle alpha launch API Artificial Intelligence automatic optimization automation Barcelona big data BigML BigMLer BigML Fusions boosted trees Boston brazil Business Case Study classification classification problems Clojure Dashboard Decision trees deep learning Deepnets Education Ensembles evaluations event Events Finance Fusions Hacking innovation Interns lda logistic regression machine learning Machine Learning adoption madrid Madrid Machine Learning models Open Source Operating Thresholds OptiML PAPIs PAPIs Connect Predictions Predictive analytics Predictive Model predictive models PreSeries Python Release sao paulo sports analytics spring release Startups summer Summer School sunburst supervised learning text analysis throwdown Time Series time series forecast Tom Dietterich Topic Models training tutorial use case Valencia video webinar WhizzML

• Twitter Updates

  • Practical #MachineLearning for #developers and #business leaders in #Valencia at the #VSSML18 September 13-14. Regi… twitter.com/i/web/status/1… 2 days ago
  • RT @JAXenterCOM: Does your company have a #MachineLearning strategy? @atakante from @bigmlcom goes over six things that every organization… 3 days ago
  • RT @VITEmprende: 🧠📓 València acogerá el próximo mes la 4 edición de la escuela de verano de #MachineLearning, una jornada co-organizada con… 3 days ago
  • RT @RobHug: @jaotwits @bigmlcom giving a masterclass in #machinelearning @DataSciTechScot @DataLabScotland @mbnsolutions https://t.co/BjHyd… 4 days ago
  • RT @RobHug: Great turn out for @DataSciTechScot meetup. Learning about #MachineLearning @mbnsolutions @DataLabScotland https://t.co/9mI3jtg… 4 days ago
  • RT @ProductForge: We're livestreaming the @DataSciTechScot #DataScience & #Technology @Meetup tonight at 7pm hosted by @mbnsolutions at @in… 4 days ago
  • Tomorrow in #Glasgow, UK, @jaotwits, #BigML Co-Founder and CTO, will present #MachineLearning made beautifully simp… twitter.com/i/web/status/1… 5 days ago
  • RT @FIBR_BFA: Want to understand how #ML is currently being applied in several #industries with real-world #UseCases? Join @BFAGlobal at th… 5 days ago
  • Join us on August 22 in #Seattle, WA to hear @atakante, #BigML’s VP of Predictive Applications, present at the AI &… twitter.com/i/web/status/1… 6 days ago
  • #MachineLearning for #developers and #analysts at the #VSSML18 on Sep 13-14 in #Valencia. #ML for everyone!… twitter.com/i/web/status/1… 6 days ago
  • Learn the differences between #Supervised and #Unsupervised #MachineLearning techniques with #BigML… twitter.com/i/web/status/1… 1 week ago
  • #LogisticRegression at the #VSSML18 on Sep 13-14 in #Valencia bigml.com/events/valenci… #SummerSchool… twitter.com/i/web/status/1… 1 week ago
  • Improve your #ModelPerformance Through Algorithmic Diversity! youtu.be/iAC0Mn6NJq8?li… #MachineLearning for everyone! 1 week ago
  • Book your slot at the #GeniusBar to discuss your #MachineLearning #projects and ideas with the #BigML Team at the… twitter.com/i/web/status/1… 1 week ago
  • Get Smarter About the #ArtificialIntelligence Apocalypse: What are the potential benefits and pitfalls of #AI?… twitter.com/i/web/status/1… 1 week ago
  Follow @bigmlcom

• Archives

  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • April 2018
  • March 2018
  • February 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • June 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016
  • August 2016
  • July 2016
  • June 2016
  • May 2016
  • April 2016
  • March 2016
  • January 2016
  • December 2015
  • November 2015
  • October 2015
  • September 2015
  • August 2015
  • July 2015
  • June 2015
  • May 2015
  • April 2015
  • March 2015
  • February 2015
  • January 2015
  • December 2014
  • October 2014
  • September 2014
  • July 2014
  • June 2014
  • May 2014
  • April 2014
  • March 2014
  • February 2014
  • January 2014
  • November 2013
  • October 2013
  • September 2013
  • August 2013
  • July 2013
  • June 2013
  • May 2013
  • April 2013
  • March 2013
  • February 2013
  • January 2013
  • December 2012
  • November 2012
  • October 2012
  • September 2012
  • August 2012
  • July 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011

• Meta

  • Register
  • Log in
  • Entries RSS
  • Comments RSS
  • WordPress.com