The Official Blog of BigML.com: Exploring New Business Opportunities with Machine Learning

Reflecting on the passing year during which Machine Learning kept making headlines all over the world, it has been thought-provoking to gain more perspective as we look back. Since BigML’s pioneering foundation in 2011, The BigML Team has been consistently adding to our comprehensive Machine Learning platform with a diverse array of algorithms ready to solve numerous classification and regression challenges using both supervised and unsupervised learning techniques. More importantly, we have brought those formerly exclusionary techniques to the masses looking to make better business decisions without breaking the bank.

We have shipped more than 20 major releases! Highlights include Object Detection and Image Processing which let you create supervised and unsupervised ML models using your image data, OptiML that automatically evaluates hundreds of supervised models (decision trees, ensembles, logistic regression, and deepnets) with different hyperparameters as it outputs the best models, and WhizzML (the domain-specific language that lets you automate Machine Learning workflows and even implement high-level ML algorithms). Those releases provide a complete array of options for businesses and organizations across industries to solve their ML problems in a cost-effective manner.

We have also developed 9 complementary tools and modules that have made life easier for many ML professionals. For instance, our Bindings and Libraries let developers build their own ML applications with their preferred programming language; BigMLer, the command line tool, lets you execute your Machine Learning workflows in a single line; BigML GAS, the Google Sheets add-on, automatically fills the missing values in your spreadsheets by leveraging your existing ML models; and BigML Ops automates the entire Machine Learning lifecycle so you can focus on solving your business problems reliably instead of building and maintaining your own MLOps infrastructure.

Additionally, we have been greatly enjoying spreading the word about our platform and the importance of democratizing Machine Learning to make it accessible to everyone. The primary channels we have used for that have been our 12 Machine Learning Schools that took place in Valencia and Seville (Spain), Breukelen (Netherlands), São Paulo (Brazil), Doha (Qatar), and increasingly online. We have also organized 20+ other industry events, both on site in global locations and online.

All these initiatives have made it possible that today we have 190K+ registered customers from 180+ countries that trust BigML to solve their ML challenges. We are also proud to share that we have had 12K+ education subscribers from 850+ education institutions learning Machine Learning with BigML.

Thanks to our community for making BigML your tool of choice!

In 2023, the BigML Development Team has been busy further improving the platform’s architecture and infrastructure. Many of these enhancements are not visible to the audience but are necessary to improve the end-user experience to realize our ultimate goal: Machine Learning made beautifully easy for everyone. Additionally, we have also put a special focus on helping our customers achieve their business goals through Machine Learning projects and solutions for select high-impact verticals like transportation, manufacturing, and automotive. Despite a busy workload, somehow, we also found the time and resources to launch a brand new ML-driven innovation that is well on its way to revolutionizing marksmanship and firearms training. That brings us to AccuShoot!

BigML has spun out AccuShoot

AccuShoot combines computer vision and Machine Learning to significantly reduce the resources and the time required to improve and sharpen the marksmanship skills of law-abiding citizens, law enforcement forces, and military service members by automatically tracking and providing feedback on actual shooting performance during live fire drills. AccuShoot eliminates the old-fashioned way of developing shooters’ marksmanship skill based on collecting targets, notebooks, and spreadsheets to track performance. Instead, AccuShoot uses an innovative, data-driven, automated, and predictive approach to bring more consistency to marksmanship training. Some of its key features include:

Performance prediction based on your own D.O.P.E. (Data on Previous Engagements).

Real-time target scoring of configurable drills.

Picture-based session.

Group analysis for real-time sessions and from your target pictures.

Digital locker for your guns, accessories, and ammo.

Granular privacy management.

Leaderboards that let you compete and compare your shooting skills with others.

Please visit Accushoot to learn more about the application that is digitizing marksmanship.

Education Gets Smarter: BigML in your Classroom

BigML has been a propeller in bringing Machine Learning to learning environments around the globe via our Education Program, launched in 2016, as it has enabled thousands of students worldwide to experience Machine Learning for the first time. We are very proud to have witnessed over 850 prestigious universities and schools worldwide introduce ML to more than 12,000 students to help them become high-impact, analytical professionals who can employ Machine Learning at their workplace. This reach underscores BigML’s platform as the preferred tool for educational purposes thanks to its intuitive and easy-to-use no-code interface as well as its complete REST API and automation resources.

Today, our commitment to quality education remains unwavering. Through our Machine Learning Schools, we are also democratizing this technology among business leaders and practitioners, offering personalized ML courses for companies aiming to build expert teams, along with exclusive promotions for educational institutions.

This year, we decided to go a step further with the BigML in your Classroom initiative, which lets educators and students utilize BigML’s organizations feature with advantageous discounts. BigML Organizations provide a backoffice that allows total control of the students enrolled at any time and the projects they have access to. Students can work collaboratively on projects and teachers can change the groups of students at the end of the term while keeping their work, if needed. For those educators that want to take advantage of this promotion please contact the Education Team at [email protected] for tailored education plans.

Additionally, we continue offering tailored ML courses for those companies and individuals that seek basic or in-depth ML expertise, as well as diverse set of certifications ideal for learning the specifics of developing industry-specific predictive applications on top of BigML. With three different levels of BigML certifications, we fit the needs of every professional profile:

BigML Certified Analyst: No-code predictive model training for analysts and business professionals. No prior experience in Machine Learning is required.

BigML Certified Engineer: Rapid expertise development for scientists, software developers, and system integrators, who want to develop their own predictive applications.

BigML Certified Architect: Building large-scale enterprise ML solutions.

Please visit the BigML Certifications page to see the differences among the courses and choose the one that best aligns with your career goals!

BigML in The News and Blog Posts