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Inside BigMLKit: A Sample Predictive App for Apple ResearchKit
Following up our post announcing the availability of BigMLKit, we are now going to introduce the BigMLKit API and present a sample app that can be used as a playground to experiment with BigMLKit. As...
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New add-on for Google Sheets adds Machine Learning to your data
The first version of BigML’s add-on for Google Sheets has been released! The BigML add-on provides an easy way to fill the blanks in your spreadsheets using the predictions of models and clusters in...
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Exploring 250,000+ Movies with Association Discovery
Hot on the heels of our Fall 2015 Release webinar including our Association Discovery (aka Association Rule Learning) implementation, we wanted to give this new capability a spin on our blog in order...
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WhizzML Launch Webinar Recording is Here! In-depth WhizzML Training Series...
Last week BigML announced WhizzML, a new domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, and easily sharing them with others....
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WhizzML Tutorial I: Automated Dataset Transformation
I hope you’re as excited as I am to start using WhizzML to automate BigML workflows! (If you don’t know what WhizzML is yet, I suggest you check out this article first. In this post, we’ll write a...
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WhizzML Training Videos are Here!
This week we completed four in-depth training webinars focused on WhizzML, BigML’s new domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning...
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Programmatically Fill in Missing Values in Your Dataset with WhizzML
For new WhizzML developers, WhizzML’s power as a full-blown functional programming language can sometimes obscure the relationship between WhizzML and the BigML Machine Learning platform. At BigML, we...
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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...
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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...
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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...
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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...
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Predicting Movie Review Sentiment with Topic Models
In this blog post, the third one of our Topic Models series, we are showcasing how you can use BigML Topic Models to improve your model performance. We are using movie reviews extracted from the IMBD...
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Programming Topic Models
In this post, the fourth one of our Topic Model series, we will briefly demonstrate how you can create a Topic Model by using the BigML API. As mentioned in our introductory post, Topic Modeling is an...
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Automated Topic Modeling Workflows Done Right
This series of posts started by introducing Topic Models as BigML’s implementation of Latent Dirichlet Allocation (LDA) to help discover thematically related terms in unstructured text data. We later...
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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...
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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...
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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...
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Anomaly Detection, Benchmarks, and WhizzML
Anomaly detectors are a useful tool for any machine learning practitioner, whether for data cleaning, fraud detection, or as early-warning for concept drift. While there are many algorithms for...
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Joint Webinar Video: BigML Machine Learning meets Trifacta Data Wrangling
Yesterday we hosted a joint webinar with Trifacta to showcase how seamlessly both platforms fit together in turning raw data into real-life predictive use cases. What makes these tools special is their...
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Investigating Real-World Data with Time Series
In this blog post, the second one in our six post series on Time Series, we will bring the power of Time Series to a specific example. As we have previously posted, a BigML Time Series is a sequence of...
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