BigML Milestones

BigML Ops lets you build, deploy, and operate the most advanced Machine Learning workflows at scale. This new addition to the platform focuses on systematically operationalizing entire ML workflows (not only single models) with built-in reproducibility and traceability. Learn what makes BigML Ops unique!

Object Detection is a continuation of and improvement on our previous Image Processing release. Now, you can go a step further with your image data by locating objects and annotating regions in your images!

This strategic alliance will promote the creation of new applications that increase the capacities of professionals with cognitive or physical challenges.

We are excited to announce this collaboration with Claire Global, the marketplace devoted to the B2B food trading business that is purpose-built to implement Machine Learning-driven solutions that optimize the buying and selling processes. At BigML we are helping Claire turn their ideas into reality.

We are happy to report that INFORM GmbH and BigML have agreed to terms on a preferred partner program to further ingrain best practice machine-learned algorithms to the daily fight against financial crime with RiskShield.

The BigML and Thirdware partnership promotes the Machine Learning adoption across organizations. Thirdware is a leader in enterprise applications that has supported a range of Fortune 500 organizations as an implementation partner for infrastructure technologies.

BigML, the leading Machine Learning platform, and GoHub from Global Omnium join forces with a strategic partnership to boost Machine Learning adoption throughout the startup and industry sectors.

BigML brings Linear Regression to the platform, a well known algorithm for supervised learning. This technique is widely applied across industries and is simple to understand, allowing for high interpretability.

A1 Digital, a subsidiary of the A1 Telekom Austria Group, and BigML have agreed on a strategic partnership for joint Machine Learning solutions. Companies can now use leading Machine Learning solutions based on the European cloud platform Exoscale.

WorkAround, a crowdsourcing platform for refugees and displaced people, partners with BigML to provide datasets tagged and cleaned by skilled refugees, giving economic opportunities to end users.

BigML brings Principal Component Analysis (PCA) to the platform, a key unsupervised Machine Learning technique used to transform a given dataset in order to yield uncorrelated features and reduce dimensionality.

SlicingDice and BigML partner to bring the very first Data Warehouse embedding Automated Machine Learning. This All-in-One solution will provide guardrails for thousands of organizations struggling to keep up with insight discovery and decision automation goals.

Jidoka and BigML, the leading Robotic Process Automation and Machine Learning companies respectively, join forces in a partnership to provide highly integrated solutions to collective partners and clients.

BigML announces the Preferred Partner Program, bringing together our Machine Learning platform with innovative companies around the world.

BigML adds new Data Transformation capabilities including SQL-style queries, significant Flatline editor improvements, and more ways to do feature engineering. This release makes it easier than ever to prepare your data before building models, facilitating this essential but often difficult and time-consuming preparation phase of any Machine Learning workflow.

The VSSML18 broke our records! 220 attendees arriving from 18 countries did not want to miss BigML's annual event to learn the latest about Machine Learning. In this edition, we hosted 178 attendees from 101 companies and 42 attendees representing 26 academic institutions.

Fusions serve as a new supervised resource that solves classification or regression problems using the power of several models. Combine models, ensembles, logistic regressions, and deepnets and aggregate their predictions to achieve improved performance.

BigML brings OptiML, an automatic optimization process for model selection and parametrization that helps experts and newcomers alike to save time and build top-performing models to solve supervised learning problems.

Barrabés.biz and BigML brought the second edition of 2ML to Madrid, Spain. Over 300 decision makers, technology professionals, and industry practitioners gathered for this event to learn about the latest developments in Machine Learning.

The BigML deepnets model accurately predicted the winners of the major award categories for the 2018 Oscars, which sparked an exciting conversation about the potential of ML on social media.

BigML announces our Internship Program, which welcomes advanced students and young professionals get hands-on experience in the rapidly evolving field of Machine Learning with the BigML Team.

BigML presents operating thresholds, a key feature to fine tune the performance of your classification models. The second new feature, BigML organizations, is a convenient collaborative space where several customers can work on the same projects, within the same Dashboard, at different levels of privileges. Organizations make company-wide adoption of Machine Learning easy and efficient.

Highlights of BigML's 2017 and looking forward to 2018, which we expect to be our busiest year yet.

BigML collaborated with Sebrae and Telefónica Open Future_ to host the second Brazilian Summer School in Machine Learning. This one-day crash course took place in Curitiba, Parana, and focused on preparing companies specialized in Information Technology to find business opportunities.

BigML introduces Deepnets, an optimized implementation of Deep Neural Networks, to the platform. Deepnets are state-of-the-art in many important supervised learning applications.

The third edition of our Valencian Summer School in Machine Learning broke our records across the board. Over 200 BigMLers from 14 countries representing 92 companies and 28 academic organizations gathered in Valencia for two fun, intense days of Machine Learning training.

BigML brings Time Series as a new resource to the platform, available via the BigML Dashboard, API and WhizzML. BigML's Time Series enables you to analyze time-ordered historical data to forecast future behavior.

2ML is a Machine Learning event co-organized by BigML and Barrabés. More than 400 attendees, mostly decision makers, gather to hear some of the brightest minds in the ML field and to discover the impact that Machine Learning is having across all industries.

BigML brings Boosted Trees to the BigML Dashboard and API. This Machine Learning technique is the third ensemble-based strategy provided on BigML to help you easily solve your classification and regression problems.

Highlights of what made 2016 a special year for BigML, and looking forward to the adventures ahead in 2017.

BigML adds Topic Models to the Dashboard and API. This resource helps you find thematically related terms in your unstructured text data.

BigML for Alexa skill is introduced, which combines the predictive power of BigML with the voice processing capabilities of the Alexa Voice Service.

The second edition of BigML’s Valencian Summer School in Machine Learning is a big success! Over 140 attendees representing 53 companies and 21 academic organizations from 19 countries gathered in Valencia, Spain, for a crash course in Machine Learning.

BigML for Google Sheets (aka BigML-GAS) is listed as a top add-on for “number crunching” in Zapier's list of Top 50 Google Sheets Add-Ons to Supercharge Your Spreadsheets.

BigML and Telefónica Open Future_ create PreSeries, the first Predictive Application for Early Stage Investment. PreSeries powers the world’s first Artificial Intelligence Startup Battle held at PAPIs Connect in Valencia. This event is the first of many AI Startup Battles where the jury is a Machine Learning algorithm that predicts the probability of success of early stage startups, with no human intervention.

BigML brings Association Discovery to help you discover hidden relations between values of your variables in high-dimensional datasets. BigML is the first Machine Learning service to offer Association Discovery on the cloud. This release also brings Logistic Regression to the API, Partial Dependence Plots, Statistical Tests, Correlations, the Flatline editor, and more!

BigML completes the acquisition of the groundbreaking Association Discovery software 'Magnum Opus', and Dr. Geoff Webb, the world-renowned expert on Association Discovery, joins BigML as Technical Advisor.

BigML sponsors and helps organize the first edition of PAPIs Connect, which took place in Paris, France. PAPIs Connect complements the annual PAPIs conference by focusing more on business cases and applications with the aim of educating decision makers about the possibilities of Machine Learning.

BigML releases our Mac OS X native app, which brings you the ability to build models and make predictions by simply dragging and dropping on your Mac Desktop.

BigML starts 2015 with a large variety of new features including Sample Service, the Dynamic Scatterplot, the G-means clustering algorithm, Projects, Labs and more!

BigML sponsors and helps organize PAPIs, the international conference that serves as an open forum for technologists and researchers on distributed, large-scale Machine Learning services and developers of real-world predictive applications. Since its launch, PAPIs has been held 6 times in 5 countries on 4 continents!

BigML introduces Anomaly Detection to the platform, making it easy to quickly identify unusual instances in your datasets. BigML also adds support for model clusters, missing splits, client-side predictions and more.

BigML launches the BigML Flatline editor, a lisp-like language that lets you add new fields to your dataset programmatically and perform a vast array of other data transformations.

BigML makes a large leap in functionality since our service came out of Beta late 2012. This release brings 7 new features including Text Analysis, Microsoft Excel Export, Multi-label Classification, the BigML PredictServer and more!

BigML offers subscription levels, pay-as-you-go options, Virtual Private Clouds, and other flexible usage options.

BigML introduces the SunBurst diagram to complement the existing decision tree visualization.

BigML adds data source options and new filtering features, as part of our continuous effort to make Machine Learning easy and understandable.

BigML open-sourced BigMLer, a command line tool that lets you create predictive models easier than ever before. The BigML API offers new features that allow you to filter your datasets and evaluate models.

BigML opens its doors for everyone, removing the invitation-only requirement from our website.

Professor Dietterich, who is considered one of the fathers of Machine Learning, is elected President of the Association for the Advancement of Artificial Intelligence (AAAI).

BigML announces our development mode, a free Machine Learning sandbox to play around in and experiment with datasets.

BigML launches several improvements including new source formats, descriptions, and tags for resources, ways to filter your predictive models, and more! Python bindings are added to the BigML API.

The BigML team invites our first Alpha Users, lovers of Big Data, Machine Learning, and Data Visualization, to try out our new service.

BigML’s blog has since been awarded as one of the top 20 Machine Learning blogs.

Early investors support BigML's mission to build an accessible platform that brings Machine Learning to everyone.

BigML's founding team completes the prototype of the BigML platform.