We are excited to announce that we have expanded the Nexosis Machine Learning API regression capabilities beyond time series.
Maintenance updates and bug fixes for regression capability
Announcing the Nexosis Community Code of Conduct that sets expectations for behavior within our community to ensure it is safe and inclusive.
We are a proud sponsor of Twin Cities Startup Week and are hosting a social good hackathon this Friday, October 13th.
We need to start thinking of internet of things and machine learning as a dynamic duo that together will change the world.
Various bug fixes
Our API users can now include calendars as a dataset to improve their forecasts.
Ryan gives a rundown of his MLconf talk on using decision theory to automate time series model selection.
Added regression to platform
API World kept us busy for almost a week and it was the biggest event we've attended yet. We came back to Ohio with memories, stories, and a ton of learnings.
Machine learning is hard. So where do you start if you want to master or at least understand?
Although we are in the early stages of building the Nexosis API community, attending CMX Summit showed us the value of investing in community.
Added time series smoothing, various bug fixes
Download our Business APIs eBook to learn how APIs save time and money, while fostering innovation.
Jason wrote an API tutorial to show how to use Google Analytics Web Session data to forecast future web sessions and see the impact of certain activities.
It's important that we are transparent with our API users. That's why we launched a new status page to provide API incident communications.
We're a machine learning company and we want you to know that machine learning is not a magic bullet. Read more to see what we mean.
Guy is building our Swift API client. For the skeptics, and also believers, he discusses three scenarios in which a Swift API client would be useful.
We're back from MLconf in Atlanta. It was an amazing experience connecting with diverse people with different backgrounds in machine learning.
We are basically taking over API World 2017 by sponsoring and judging the Hackathon, speaking, and having a booth. Come see us innovative API people!
Ensemble results properly returned
Danna explains some differences between regression and time series problems, and why it's easy to confuse the two.
Added tutorials, ensembling, bug fixes
Zach shares how an error message taught him how nested view functions from different modules work together in Elm.
Come see us at MLconf Atlanta this Friday! We'll be at a booth and one of our machine learning engineers is speaking about decision theory.
Nineteen APIs have been added to the ProgrammableWeb directory in categories including Engagement, Translation, and Machine Learning.
Jeff E made some video tutorials to show how he's been using IPython to test our Python client library implementation. Check them out.
Joe is on a mission to make concepts like probability, mean, and variance be as commonly understood as noun, verb, and adjective. Here's why.
Meet Amie Davis, our new Event Marketing Manager, who will coordinate and plan all events that we attend, sponsor, or host.
Various bug fixes
Discover how APIs make building machine learning applications easier and faster. Download the In-House Development vs. API Timeline Infographic.
Nexosis API users can now use views to create a session based on a dataset of observations mixed with a different dataset that contains features.
Views (Joined DataSets), account management, documentation updates, bug fixes
Jeff G. explains how he discovered zeroes aren't a good choice for a value like temperature or any value which isn’t naturally zero when not observed.
Meet our first Developer Evangelist, Guy Royse, who brings over 20 years of programming, technology, and consulting experience to the Nexosis team.
Our engineers have learned so much since adopting Amazon DynamoDB as a data store that they turned it into a blog post series. John kicks it off.
Find out everything we learned at That Conference.
Password validation, bug fixes
Read our reaction to OpenAI's defeat of the world's best players of Dota 2.
Jim Stengel studied some 200 “odd couple” partnerships between established companies and tech-focused upstarts, including Nexosis.
Craig wrote a tutorial using our API .NET client library and Fitbit's API to analyze his physical activity patterns. Check it out.
Meet Jacob Tidwell, our new DevOps Engineer. He will be responsible for building and maintaining the infrastructure that powers our machine learning API.
Data imputation strategies, various bug fixes
While there's no "one-size-fits-all" approach, there are general best practices to follow and questions to ask about your data before building a model.
Jason wrote an API tutorial to forecast what would have happened to our Facebook page likes had we not changed our marketing vs. what actually did happen.
Over the last couple of months we have been forming a team of experts dedicated to our developer community initiative.
Registration confirmation, various bug fizes
We are a proud platinum sponsor of That Conference this year. We are also excited to have two of our employees, one being our CTO/Co-Founder, speaking there.
Today, Nexosis API users can forecast at the hourly, daily, weekly, monthly, or yearly levels. They will now be able to specify a broader range of data types.
There are about 4M developers and 40,000 statisticians in the US. That's a 100:1 ratio. Automated machine learning tools should improve developer productivity.
New invite system, various bug fixes
Some of the team went to a meetup about TensorFlow. While they agree it's a powerful tool, it still requires extensive machine learning knowledge.
Jeff built a sample application from our API .NET client library to uncover how shutting down factories impacted air quality in Beijing during the Olympics.
Documentation updates, various bug fixes
Meet Danna Naser, our newest Data Scientist who comes to us from Texas Tech University.
We're excited to announce that the Nexosis Machine Learning API has officially launched! It's the only machine learning API built for developers, by developers.
Documentation updates, various bug fixes
Net neutrality is essential to our ability to exist and compete. That is why we are speaking out to keep the FCC from preventing an open internet.
We react to a Forbes article discussing IBM Watson's shortcomings. While we don't think it's a joke, we were surprised.
Public API Release with Regression (Time-Series) and more
Zach uses our API to conduct an impact analysis on the number of Games, Players and Wins during Dungeon Crawl Stone Soup tournaments.
Stephen, our VP of Sales, attended QCon New York last week and gained a ton of great insights about microservices and APIs. Read his recap.
'Ninjaneering' really is as cool as it sounds. Our CTO shares what he learned about self-awareness and collaboration at Pillar PluggedIn.
Prototyping is a source of innovation that is meant to be a fast, iterative process. APIs get machine learning application prototypes to production faster.
Negative feedback is the best feedback. Our CEO explains why user feedback is crucial to the success of our API early access launch.
Do software developers who use spaces really make more money than those who use tabs? Ryan does a deeper analysis.
Machine learning is redefining the phrase "Time is Money." We discuss time series analysis in business.
We present some facts about the state of Data Science that can prevent companies from leveraging machine learning as a competitive advantage.
APIs are all around awesome. They save companies time, money and resources while encouraging innovation.
VentureOhio released its annual VentureReport that takes a detailed look at Ohio investment activity and the people and companies putting Ohio on the map.
Man buys too many Legos and sorts with machine learning.
Organizations should leverage developer skills combined with APIs to effectively unlock the power of machine learning across all departments.
The Data Scientist profession has been called "The Job of the Future," but why and how do people become Data Scientists? Ryan tells his story.
As if we didn't already love Stack Overflow, it just released a trends tool showing changes over time in the number of questions asked about technologies.
Whether you are a veteran developer or new to coding, we have found there is a technology podcast for everyone.
Time to do some spring (data) cleaning. Natalie and Leah explain the rules of tidy data.
Jason has seen it all when it comes to application security. He shares how to use Azure KeyVault to manage keys.
We were on a panel of experts formed to discuss the economic challenges and opportunities of emerging technologies like machine learning.
They say change is the only constant in life, but experts say companies aren't making the right organizational changes to achieve ROI from machine learning.
Meet our new VP of Sales, Stephen Steen, who specializes in energy, supply chain and internet of things industries.
How do you deal with not knowing servers ahead of time when configuring nginx? One way is dynamic proxy registration.
Read about our data scientist's Smart City app idea called Get Me There that uses data to reserve parking spaces, prepay for parking and more.
We're back in the office after a crazy Friday at Stir Trek. Who knew meeting and talking to developers all day about our API could be so much fun?
It's our first time at Stir Trek so stop by Booth 15 for a chance to win cool prizes like a COZMO robot. You can't miss the hot pink brains!
Evan talks about his latest TechLife Columbus meetup on game development, hardware, graphics and audio.
Joe explains some of the math behind machine learning and what our API automates.
Our Chief Technology Officer discusses the automatic deployment of Let's Encrypt SSL/TLS Certificates on Azure App Gateway.
Our Head of Customer Success, Leah Sevey, breaks down machine learning for the non-technical readers out there.
The Frontier Conference was a phenomenal gathering of industrial innovations that are transforming the world and we were happy to be part of it.
Our Head of Engineering discusses reasons for using Docker on individual virtual machines and how to do it with Azure ARM templates.
Stand up if you love standing desks like us. Our team shares why it can't live without them.
Machine learning should be in every forecaster's toolkit because we don't all have the time and patience needed to become superforecasters.
Learning a new technology or programming language takes grit and a self-starter attitude.
Our Head of Engineering, Jeff Gabriel, weighs in on the importance of having the right team, the Kanban methodology and user stories.
Ryan, one of our data scientists, explains triple exponential smoothing, ARIMA and multiple linear regression.
When developers, designers and other community members brainstorm for a weekend, cool things happen.
Developers pretty much wrote the book on community engagement. First rule: it's a two way street.
Our prediction is that machine learning will be integral to promotion planning. See why.
Life is short. Make your days more productive by automating mundane tasks.
We developed a list of cool (at least we think so) activities and tools that help kids get ahead in technology.
A scantily staffed store floor during an unexpected lunch rush never goes well. Insights in your POS data can help you schedule more efficiently.
Artificial intelligence can't thrive without humans. Consumers are now smarter about technology and social impact, which is changing the way we innovate.
If you're like us, you look at the clock on Mondays and wonder where the time went. Get that time back with artificial intelligence.
Too many cucumbers? No problem. Artificial intelligence can sort them for you and do a bunch of other things you'd never suspect.
Impress your co-workers by learning the differences between artificial intelligence, machine learning and deep learning.
Startup company Nexosis is looking to optimize the time a new feature takes going from ideation and into their customers’ hands.
We're growing and proud to introduce you to Joe Volzer, our newest Data Scientist.
What moves the needle for your business? We hack.
When women work, they invest on average 90% of their income back into their families. Imagine the possibilities if more women were coding today.
Some of the Nexosis team and 10,000 other software professionals made the trip out to San Francisco to attend SaaStr Annual 2017. Read what we learned.
Without marketing no one would know what Nexosis does. I spoke to the brain behind the operation, Eric Dunne, about what he does all day and why he loves it.
The inventory-to-sales ratio is a key performance indicator of whether or not inventory is overstocked. How do you stack up against these retail averages?
Artificial intelligence and business intelligence are the same thing, right? Nope. We want to set the record straight.
We sat down with our engineers and found out more about their day-to-day and what makes them love what they do.
The 2017 National Retail Federation Convention was so big that it took us nearly a week to summarize our notes. Here are our key takeaways.
Download Nexosis' free eBook, Talk Like a Data Scientist. Learn basic machine learning concepts and realize the potential it has to drive profitability.
Autoregressive models are a fundamental class of time series models.
On the heels of the successful first Target + Techstars retail accelerator, we opened applications for a second round of the program yesterday.
Discovering trends in data is crucial for making accurate forecasts.
Seasonality affects our purchase patterns. Learn how we detect it and why it matters.
Our data scientist breaks down what makes a good model and how to avoid two sources of error.
One of Westerville's most rapidly growing companies is preparing for even more expansion, thanks to a multimillion-dollar bump in funding.
What's MAPE? Find out with our data scientist as he explains what it is and why it's important.
Nexosis has closed its latest round of funding. Revel Partners led the round and was joined by Techstars Ventures and iNovia Capital.
What is time series data and why is it so important to choose the right model?
All five venture funds that invested in the $5 million round that Nexosis Inc. closed last week are from outside Ohio and that's good for Ohio.
Nexosis Inc., a data analytics startup that helps retailers and restaurants forecast how much inventory to stock has closed a $5 million seed round.
Nexosis' founders give a little history lesson about how we started.
What's residual and what's an error? Find out with a data scientist as he explains the difference and why it matters.
We sat down with Leah Sevey to hear first hand how she creates success for our company and customers.
Insider Trends pulled together a list of the top 50 retail tech startups in the world right now.
Our data scientist dons his nerd hat and explains linear models and when and why to use them.
Our data scientist explains regression and what it's good for.
We sat down with our data scientists and found out more about their day-to-day and what makes them love what they do.
Our data scientist discusses the differences between training and test sets and why it matters.
More than 600 entrepreneurs from across the country converged in Cincinnati for the sixth annual FounderCon, put on by Techstars business accelerator.
Our first, proud steps to democratizing machine learning…
Nexosis co-founder is joining the chorus calling for more leadership from Central Ohio entrepreneurs to support and grow the startup community.
Learn how machine learning works and why it matters.
Four Central Ohio entrepreneurs who graduated this fall from out-of-state accelerators poised for success.
A quick summary of what Nexosis learned at Techstars this summer.
Our data scientist defines and explains what causal inference is and why it matters not only to machine learning but to your business.
A group of franchisees were taking part in a national promotional campaign but were unable to determine if the promotion was working and by how much.
Target + Techstars startups focused on some of the most important areas of business today: big data, experiential retail, the Internet of Things, bots, SaaS, machine learning, artificial intelligence and healthy foods.
Watch the video of our demo day pitch.
The Fung Global Retail & Technology team attended the first Target + Techstars Demo Day. Each company founder presented to entrepreneurs, investors, and media.
Eleven startups—dreamers, doers, and makers—took the stage in front of nearly 1,000 people for Demo Day for the Target + Techstars Retail Accelerator.
Target Corp.’s first experiment in sponsoring a tech incubator has already produced tangible results.
Nexosis concludes three-month accelerator; announces private beta launch and direct integration with eCommerce platform Shopify.
Techstars Demo Day is upon us. We look forward to the future and a big announcement with thankfulness for how we got here.
Techstars Week 12 meant not enough time, BBQ, and Mall of America.
Week 11 at Techstars brought pitch practice, the Canadians, and dark circles under our eyes.
Week 10 of Techstars brought panic, Seth Levine and Brad Feld, Target mingling and a boat!
Nexosis gets friendly with PowerPoint, the other Techstars teams and endless spreadsheets.
Nexosis' CEO, Ryan Sevey, talks about the surprising part of the Give First mantra.
Nexosis learns to schedule pilots, proof of concepts, and partnerships, as well as why giving back first works.
Nexosis learns to not dance, love ice cream, meet the mayor, and sit through baseball.
Nexosis is halfway done with Techstars and that means meetings and mayhem as we count down to Demo Day.
Nexosis on the move, on the phone, with sponsors and investors.
Nexosis rediscovers purpose, hits the Mississippi, hosts some shindigs and gets the once over from the Target people.
Nexosis throws a party. Mentors, mentors and more mentors. A bad pun at the end.
Mentor madness begins. Nexosis arrives in style. We meet with many people. We eat ice cream. We sit int he hot tub.
Independent Pepsi bottling company boosts revenue by $300,000 by partnering with Nexosis for increased forecasting accuracy.
Brief musing on what we are learning about at Techstars this week.
Zipscene partnered with Nexosis to uncover daily store-level sales predictions with a 94.4% certainty
A Westerville technology company could be in for rapid growth after being chosen as one of just 10 companies in Target's Techstars Accelerator.
Nexosis is spending the summer in Minneapolis in the first Target + Techstars retail accelerator program, which provides mentors to help grow businesses.
Announcing the 2016 Class of Techstars Retail, in Partnership with Target in Minneapolis
Westerville-based startup Nexosis is trying to solve a trillion-dollar problem globally when it comes to waste from overstock and need from understock.
Nexosis is using machine learning to reduce these errors before they happen, helping make businesses smarter with more accurate demand forecasting.
Nexosis founders’ know-how and research, with a small touch of good fortune, accelerate the company’s success.