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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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.
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March 02, 2018
02
Mar'18
AI experts advise developers on dev tools
New tools help developers build better, smarter AI apps, as machine learning toolkits have progressed exponentially over the last few years.
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July 17, 2017
17
Jul'17
Without communication, machine learning for data science goes nowhere
The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.
Machine learning modeling Get Started
Bring yourself up to speed with our introductory content
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Implementing deep learning requires a creative approach
Using deep learning in an effective way requires creative problem-solving and a team approach that goes beyond simply hiring data scientists, experts say. Continue Reading
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Limitations of neural networks grow clearer in business
AI often means neural networks, but intensive training requirements are prompting enterprises to look for alternatives to neural networks that are easier to implement. Continue Reading
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AI implementation is a winner-take-all race, analyst says
Your AI strategy should focus on growth rather than efficiency, says McKinsey analyst Jacques Bughin -- advice that enterprises rarely hear when launching projects. 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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Getting to machine learning in production takes focus
Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process. Continue Reading
Manage Machine learning modeling
Learn to apply best practices and optimize your operations.
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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
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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
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