Automated Model Building is a complex subject, but with SparkCognition's help you can be an expert too. Watch to see our four-part break down of exactly what automated model building is. But first, check out our Basics of Machine Learning here.
Other content in this Stream
[Webinar] Operationalizing Machine Learning: When Science Meets Returns
The use of machine learning in data-driven organizations has always been about acting upon knowledge to create a competitive advantage, not the science itself. In this webinar discover how automated
From Data to Application: Darwin's Unique Approach to AutoML
Darwin automates time-consuming tasks ranging from model creation and optimization to model deployment and continuous maintenance.
Garbage In, Garbage Out: Automated ML Begins with Quality Data
Machine learning methods are highly dependent on the quality of the data they receive as input, but data preparation and cleaning can be an unwieldy task, taking up 60% of data scientists' time.
Breaking Away from Cookie-Cutter Algorithms: True Generalization with Evolutionary Methods
Most autoML solutions in the market focus on searching for the best algorithm to fit a given data set. However, these methods lack the ability to produce novel, elegant model architectures.
How to Put Machine Learning Models to Work: Bridging the Gap Between Model Production and Operationalization
Automated machine learning has the potential to reduce the burden on overwhelmed teams by automating the bottlenecks in the data science process. But just having an algorithm isn't enough.
Darwin: Automate Model Building
Lending Beyond Credit Scores Webinar
Learn how machine learning systems can help lenders identify and track more variables to build a more accurate picture of a customer's financial state. The video goes through practical examples of how
Fantasy Football Week #2 Recap: Your Machine Learning Cheat Sheet
We hope your fantasy league's first week was spectacular. If not, don’t lose hope; even the 2010 Seattle Seahawks made the playoffs with a losing record. Even better, you have Darwin on your team!
Fantasy Football Week #1 Recap: Your Machine Learning Cheat Sheet
Football season couldn’t come fast enough, and now you can’t wait to pummel your office buddies with a stacked roster under your mildly inappropriate team name. However, the competition is fierce...
The Darwin Difference: Why Darwin Stands Out From the AutoML Pack
Darwin™️ is an automated model building product that allows you to go from data to model in less time than traditional methods, enabling the rapid prototyping of scenarios and extraction of insights.
From Data Professional to Data Legend with Machine Learning
Watch this on-demand webinar to learn how to harness the power of machine learning so you can move from data to results at a staggering speed. During this quick 30 minutes the SparkCognition team d
Neuroevolution-based Automated Model Building
Common neural network architectures may work well for known, established data problems; however, they can fall short when modern machine learning applications demand more performance and higher levels
Darwin the Tailor: Get Custom Models for Your Data
Darwin does the hard work of creating custom models by automating the task and quickly converting your data into usable resources for your industry.
Use Case: A Full Framework for Automated Loan Processing
With AMB, lenders can expect an increase in loans offered, with optimized interest pricing and lower defaults, and a forecasted 20% ROI.
Customer Success Story: Predicting Customer Complaints for Telecom
With the power of NLP and auto ML a major telecom provider expects to reduce complaint call volume by 33%, all while increasing brand loyalty.
Darwin Demo: Fraud Detection
This video shows how Darwin, an automated model building tool, empowers data scientists by using historical data sets to build a model that detects fraudulent transactions.
Darwin Demo: Predicting Insurance Pricing
This video shows how Darwin, an automated model building tool, empowers data scientists by using historical data sets to build a model that predicts insurance pricing.
Darwin Demo: Predicting Customer Churn
This demo shows how Darwin creates a machine learning model to predict customer churn.
Darwin Demo: Automated Loan Approval
This video shows how Darwin, an automated model building tool, empowers data scientists to build a model that lending institutions can use to understand their customer base and better price loans.
Use Case: Preventing Customer Churn for Retail Banks