BigML, Inc

Category: Content
Type: Blog Article

Generated 4 days ago

New blog articles detected

  • BigML Winter 2017 Release Webinar Video is Here!

    As announced in our latest blog posts, Boosted Trees is the new supervised learning technique that BigML offers to help you solve your classification and regressions problems. And it is now up and running as part of our set of ensemble-based strategies available through the BigML Dashboard and our REST API. If you missed the webinar that […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 4 days ago

New blog articles detected

  • The Down Low on Boosting

    If you’ve been following our blog posts recently, you know that we’re about to release another variety of ensemble learner, Boosted Trees. Specifically, we’ve implemented a variation called gradient boosted trees. Let’s quickly review our existing ensemble methods. Decision Forests take a dataset with either a categorical or numeric objective field and build multiple independent tree models […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 4 days ago

New blog articles detected

  • Boosted Trees with WhizzML and Python Bindings

    In this fifth post about Boosted Trees, we want to adopt the point of view of a user who feels comfortable using some programming language. If you follow this blog, you probably know about WhizzML or our bindings, which allow for programmatic usage of all the BigML’s platform resources. In order to easily automate the use […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 1 week ago

New blog articles detected

  • Programming Boosted Trees

    In this, the fourth of our blog posts for the Winter 2017 release, we will explore how to use boosted Trees from the API. Boosted Trees are the latest supervised learning technique in BigML’s toolbox. As we have seen, they differ from more traditional ensembles in that no tree tries to make a correct prediction on its […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 1 week ago

New blog articles detected

  • Boosting the Oscars

    In this blog post, the third one in our six post series on Boosted Trees, we will bring the power of Boosted Trees to a specific example. As we have seen in our previous post, Boosted Trees are a form of supervised learning that combine every tree in the ensemble additively to answer classification and regression […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 1 week ago

New blog articles detected

  • The Six Steps to Boosted Trees

    BigML is bringing Boosted Trees to our ever-growing suite of supervised learning techniques. Boosting is a variation on ensembles that aims to reduce bias, potentially leading to better performance than Bagging or Random Decision Forests. In our first blog post of this series of six posts about Boosted Trees, we saw a gentle introduction to Boosted […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 1 week ago

New blog articles detected

  • Introduction to Boosted Trees

    We are happy to share that BigML is bringing Boosted Trees to the Dashboard and the API as part of our Winter 2017 Release. This newest addition to our ensemble-based strategies is a supervised learning technique that can help you solve your classification and regression problems even more effectively. To best inform you about our impending launch, […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 2 weeks ago

New blog articles detected

  • BigML Winter 2017 Release and Webinar: Boosted Trees!

    BigML’s Winter 2017 Release is here! Join us on Tuesday, March 21, at 10:00 AM PDT (Portland, Oregon. GMT -07:00) / 06:00 PM CET (Valencia, Spain. GMT +01:00) for a FREE live webinar to discover the enhanced version of BigML! We’ll be announcing BigML’s Boosted Trees, the third ensemble-based strategy that BigML provides to help you easily solve your classification and regression problems. […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 3 weeks ago

New blog articles detected

  • PreSeries’ Algorithm Chooses Pixoneye as the Startup Most Likely to Succeed

    PreSeries, the joint venture between Telefónica Open Future_ and BigML, staged the fourth edition of the Artificial Intelligence Startup Battle yesterday (Tuesday, February 28). The event took place at the main stage of the 4 Years From Now (4YFN) event, the startup focused platform of the Mobile World Congress that enables investors and corporations to […]

  • 2017 Oscar Predictions Post-mortem

    Over the weekend, we saw an eventful 89th Academy Award Ceremony wrapped up. Despite underwhelming viewership counts of the televised event, it will likely be remembered for a long time for the remarkable mishap in the end. As for our predictions performance, we got 5 out of 8 predictions right. While not phenomenal, it wasn’t such a […]

  • PreSeries at 4YFN: a Good Beginning for a Great Year Ahead

    PreSeries, the joint venture between Telefónica Open Future_ and BigML, has been invited to join the exclusive Four Years From Now (4YFN) event. 4YFN is the startup focused platform of the Mobile World Congress that enables investors and corporations to connect with the chosen entrepreneurs to launch new ventures together. As part of this year’s 4YFN agenda, we will also […]

  • Predicting the 2017 Oscar Winners

    Machine Learning is accelerating its transition from academia to industry. We see more and more media outlets reporting about it, but most of the time they exclusively focus on the final results and not in all the human-powered tasks that happen behind the scenes and that really make the magic possible. So for most people Machine Learning […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 1 month ago

New blog articles detected

  • STATS4TRADE Unlocks the Power of Machine Learning for Investors

    The investment industry is an extremely competitive one, where fund managers work hard to demonstrate a strong track record that beats their respective benchmarks in order to be able to justify their fees and to partake in the profits from their assets under management. For retail investors, the recent years have been characterized by a significant shift towards passive investing […]

  • Machine Learning Automation: Beware of the Hype!

    There’s a lot of buzz lately around “Automating Machine Learning”.  The general idea here is that the work done by a Machine Learning engineer can be automated, thus freeing potential users from the tyranny of needing to have specific expertise. Presumably, the ultimate goal of such automations is to make Machine Learning accessible to more people.  […]

  • Reflecting on 2016 to Guide BigML’s Journey in 2017

    2016 has proven a whirlwind year for BigML with substantial growth in users, customers and the team riding on the realization by businesses and experts that Machine Learning has transformational power in the new economy where data is in abundance but actionable insights have not been able to keep pace with improvements in storage, computational […]

  • 10 Offbeat Predictions for Machine Learning in 2017

    As each year wraps up experts pull their crystal balls from their drawers and start peering into it for a glimpse of what’s to come in the next one. At BigML, We have been following such clairvoyance carefully this past holiday season to compare and contrast with our own take on what 2017 will have in store, […]

  • Fourth Edition of the Startup Battle at 4YFN

    Four Years From Now, the startup business platform of Mobile World Congress that enables startups, investors and corporations to connect and launch new ventures together, goes to Barcelona, Spain, from February 27 to March 1, 2017. We could not think of a better context to run the fourth edition of our series of Startup Battles. […]

  • Even Easier Machine Learning for Every Day Tasks

    Recently, the “Machine Learning for Everyday Tasks” post suddenly rising to the top of Hacker News drew our attention. In that post, Sergey Obukhov, software developer at San Francisco-based startup Mailgun, tries to debunk the myth that Machine Learning is a hard task: I have always felt like we can benefit from using machine learning for simple tasks that […]

  • Predicting the Publication Year of NIPS Papers using Topic Modeling

    The Neural Information Processing Systems (NIPS) conference is one of the most important events in Machine Learning. It receives hundreds of papers from researchers all over the world each year. On the occasion of the NIPS conference held in Barcelona last week, Kaggle published a dataset containing all NIPS papers between 1987 and 2016. We found it an excellent opportunity to put […]

  • Brazilian Summer School in Machine Learning and AI Startup Battle in the Books!

    The BigML Team has travelled to São Paulo, Brazil, to conduct another edition of our series of Machine Learning schools as part of our ongoing educational activities to help democratize Machine Learning not only across industries and job functions but also across geographies. Despite the fact that this was not our first such experience, we keep being positively […]

  • Brazilian AI Startup Battle: Meet the Contenders!

    As a thriving innovation hub, São Paulo’s economic impact can be felt all across Brazil, South America and even the world. The city that is colloquially known as Sampa or Terra da Garoa (Land of Drizzle) will also be the host to the third installment of the AI Startup Battle powered by PreSeries and Telefónica Open […]

  • BigML Fall 2016 Release Webinar Video is Here!

    Thank you to all webinar attendees for the active feedback and questions about BigML’s Fall 2016 Release that includes Topic Models, our latest resource that helps you find thematically related terms in your text data. Our implementation of the underlying Latent Dirichlet Allocation (LDA) technique, one of the most popular probabilistic methods for topic modeling tasks, […]

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 5 months ago

BigML, Inc

Category: Content
Type: Blog Article

Generated 6 months ago

New blog articles detected

  • Logistic Regression versus Decision Trees

    The question of which model type to apply to a Machine Learning task can be a daunting one given the immense number of algorithms available in the literature. It can be difficult to compare the relative merits of two methods, as one can outperform the other in a certain class of problems while consistently coming in […]

  • Automating Logistic Regression Workflows

    Continuing with our series of posts about Logistic Regression in this fifth post we will focus on the point of view of a WhizzML user. WhizzML is BigML’s popular domain specific language for Machine Learning, which provides programmatic support for all the resources you work with in BigML. You can use WhizzML scripts to create a […]

  • Programming Logistic Regressions

    In this post, the fourth one of our Logistic Regression series, we want to provide a brief summary of all the necessary steps to create a Logistic Regression using the BigML API. As we mentioned in our previous posts, Logistic Regression is a supervised learning method to solve classification problems, i.e., the objective field must be categorical […]

  • Predicting Airbnb Prices with Logistic Regression

    This is the third post in the series that covers BigML’s Logistic Regression implementation, which gives you another method to solve classification problems, i.e., predicting a categorical value such as “churn / not churn”, “fraud / not fraud”, “high/medium/low” risk, etc. As usual, BigML brings this new algorithm with powerful visualizations to effectively analyze the key insights […]

  • Logistic Regressions: the 6 Steps to Predictions

    BigML is bringing Logistic Regression to the Dashboard so you can solve complex classification problems with the help of powerful visualizations to inspect and analyze your results. Logistic Regression is one of the best-known supervised learning algorithms to predict binary or multi-class categorical values such as “True/False”, “Spam/ Not Spam”, “Offer A / Offer B […]

  • BigML for Alexa: The First Voice Controlled Predictive Assistant

      The promise of voice recognition has been around for a long time, but it has always been quite miserable. In fact, just back in 2012 my daughter and I were helping my mother purchase a new car. I paired my phone to the in-car audio and tried to dial home. After several attempts, we […]

  • Introduction to Logistic Regression

    This Summer 2016 Release BigML is bringing Logistic Regression to the Dashboard, a very popular supervised Machine Learning method for solving classification problems. This upcoming release is the perfect scenario to guide you through Logistic Regression step by step. That is why we are presenting several blog posts to introduce you to this Machine Learning method. Within […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 6 months ago

New blog articles detected

  • BigML Summer 2016 Release and Webinar: Logistic Regression and more!

    BigML’s Summer 2016 Release is here! Join us on Wednesday, September 28, 2016 at 10:00AM US Pacific Time (Portland, Oregon / GMT -08:00) / 7:00 PM CET (Valencia, Spain. GMT +02:00) for a FREE live webinar to learn about the newest version of BigML. We’ll be diving into Logistic Regression, one of the most popular supervised […]

BigML, Inc

Category: Content
Type: Blog Article

Generated 6 months ago

New blog articles detected

  • 2nd Valencian Summer School in Machine Learning: Done and Dusted!

    This week over 140 attendees representing 53 companies and 21 academic organizations from 19 countries, gathered in Valencia to get their hands dirty with a curriculum jam packed with practical Machine Learning techniques and case studies that they can put to good use where they work or teach. The regularly scheduled sessions were capped with an […]

  • Introducing the Artificial Intelligence Startup Battle in Boston on October 12 at PAPIs ‘16

    Telefónica Open Future_, Telefónica’s startup accelerator that helps the best entrepreneurs grow and build successful businesses, and PAPIs.io invite you to participate in the Artificial Intelligence Startup Battle of PAPIs ‘16, the 3rd International Conference on Predictive Applications and APIs, to be held in Boston on October 12 at the Microsoft New England Research and Development […]

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 6 months ago

BigML, Inc

Category: Content
Type: Blog Article

Generated 6 months ago

BigML, Inc

Category: Content
Type: Blog Article

Generated 7 months ago

BigML, Inc

Category: Content
Type: Blog Article

Generated 7 months ago

BigML, Inc

Category: Content
Type: Blog Article

Generated 7 months ago

BigML, Inc

Category: Content
Type: Blog Article

Generated 7 months ago

BigML, Inc

Category: Content
Type: Blog Article

Generated 7 months ago

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 7 months ago

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 7 months ago

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 7 months ago

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 7 months ago

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 7 months ago

BigML, Inc

Category: Positioning & Presence
Type: Page Design Update

Generated 7 months ago

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