Machine learning modeling
There are a number of ways to tackle machine learning modeling. Find content on supervised and unsupervised machine learning algorithm training and modeling processes, including expert tips to help you evaluate, choose and use the right machine learning model to deliver accurate predictive outputs to solve business problems.
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Machine learning modeling News
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August 13, 2018
13
Aug'18
O'Reilly machine learning survey: Enterprises aim for maturity
A new survey finds companies are using fairness and bias as metrics to evaluate the success of a machine learning model.
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July 27, 2018
27
Jul'18
BigQuery ML moves machine learning into Google BigQuery
Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
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June 08, 2018
08
Jun'18
Databricks platform additions unify machine learning frameworks
Databricks' new products take aim at simplifying machine learning integration -- something that has become increasingly difficult, as the number of tools has multiplied.
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April 16, 2018
16
Apr'18
How IBM's data science team quickens users' AI projects
In this Q&A, IBM's Seth Dobrin discusses the rising user interest in machine learning and AI projects and the help inexperienced users need to launch those projects.
Machine learning modeling Get Started
Bring yourself up to speed with our introductory content
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3 ways to make machine learning in business more effective
Dun & Bradstreet analytics exec Nipa Basu offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making. Continue Reading
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AI for education brings benefits to burdened school staff
Using AI in education can have a dramatic impact on the way teachers use their time and the manner in which students are served individually. Expect the trend to continue. Continue Reading
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artificial neural network (ANN)
In information technology (IT), a neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain. Continue Reading
Evaluate Machine learning modeling Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Healthcare and AI are a good pair -- until vendors overpromise
Excessive promotion and grandiose promises from vendors like IBM are making it hard to accurately judge what the proper role of AI in healthcare should be. Continue Reading
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Which platform for machine learning is right for your enterprise?
Turn ever-growing volumes of data into enterprise insights with the right platform for machine learning. Learn more about the vendors and products in this cutting-edge market. Continue Reading
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Augmented analytics, automated tools facilitate data analysis
From Tableau to Google, vendors increasingly incorporate augmented and automated analytics tools into their software to speed analytics work and open it up to more users. Continue Reading
Manage Machine learning modeling
Learn to apply best practices and optimize your operations.
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What-if business planning simulation at its predictive best
Simulating timely and accurate business scenarios can be an essential competitive weapon for predicting the performance, pitfalls and benefits of strategic initiatives. Continue Reading
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Machine learning in production challenges developers' skills
Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams need to be ready to bridge this gap. Continue Reading
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How one company thinks chatbots and AI can change insurance
Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations. Continue Reading
Problem Solve Machine learning modeling Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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GDPR regulations put premium on transparent AI
As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading
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Why machine learning models require a failover plan
Flawed machine learning models lead to failures and user interruptions. Expert Judith Myerson explains the causes for failures and how a failover plan can improve user experience. Continue Reading