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Automated machine learning improves project efficiency
Until recently, machine learning projects had a small chance of success given the amount of time they require. Automated machine learning software speeds up the process.
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Learn the benefits of interpretable machine learning
In this excerpt from 'Interpretable Machine Learning with Python,' read how machine learning models and algorithms add value when they are both interpretable and explainable.
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AI vendor H2O.ai introduces new deep learning tool
H2O Hydrogen Torch can be used in healthcare, HR and customer experience settings. Users can make models for image, video and natural language processing applications.
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AutoML platforms push data science projects to the finish line
Data science projects often have trouble reaching the production phase, but automated machine learning platforms are accelerating data scientists' work to help them come to fruition.
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AI infrastructure News
Efforts to craft AI regulations will continue in 2022
Regulating AI can be challenging for many reasons, including varying definitions of fairness and explainability. However, AI regulations will be a top focus for lawmakers in 2022.
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AI technologies Manage
Automated machine learning improves project efficiency
Until recently, machine learning projects had a small chance of success given the amount of time they require. Automated machine learning software speeds up the process.
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AI platforms News
Fintech vendor releases AI tool for commercial real estate
Unlike the residential real estate market, growth in commercial real estate has been slow. A fintech vendor is seeking to fill a market need for commercial real estate data.
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Machine learning platforms Get Started
Learn the benefits of interpretable machine learning
In this excerpt from 'Interpretable Machine Learning with Python,' read how machine learning models and algorithms add value when they are both interpretable and explainable.
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AI business strategies News
Nintex expands range by acquiring RPA vendor Kryon
Acquiring Kryon enables Nintex to expand its scale. Robotic process automation is important for enterprises seeking digital transformation in their business.
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Enterprise applications of AI Manage
AutoML platforms push data science projects to the finish line
Data science projects often have trouble reaching the production phase, but automated machine learning platforms are accelerating data scientists' work to help them come to fruition.
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Interpretability and explainability can lead to more reliable ML
Interpretability and explainability as machine learning concepts make algorithms more trustworthy and reliable. Author Serg Masís assesses their practical value in this Q&A.
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10 top AI and machine learning trends for 2022
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How cloud RPA is key to automation's future
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Why TinyML use cases are taking off
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Problem Solve
Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success.
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Migrating to the era of glass box AI
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Discover 2 unsupervised techniques that help categorize data
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Combating racial bias in AI
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Automated machine learning improves project efficiency
Until recently, machine learning projects had a small chance of success given the amount of time they require. Automated machine learning software speeds up the process.
-
AutoML platforms push data science projects to the finish line
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Piloting machine learning projects through harsh headwinds
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AI's growing cybersecurity role
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E-Handbook | August 2020
Machine learning and bias concerns weigh on data scientists
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E-Handbook | November 2019
Data visualization process yields 360 AI-driven analytics view
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E-Handbook | October 2019
Neural network applications in business run wide, fast and deep
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E-Handbook | July 2019
Machine learning platform architecture demands deep analysis
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Buyer's Handbook | June 2019
Pinpoint the right RPA products to advance your organization
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Enterprise Artificial Intelligence Basics
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Learn the benefits of interpretable machine learning
In this excerpt from 'Interpretable Machine Learning with Python,' read how machine learning models and algorithms add value when they are both interpretable and explainable.
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predictive modeling
Predictive modeling is a mathematical process used to predict future events or outcomes by analyzing patterns in a given set of input data.
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What is artificial intelligence (AI)?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
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AI business strategies
Nintex expands range by acquiring RPA vendor Kryon
Acquiring Kryon enables Nintex to expand its scale. Robotic process automation is important for enterprises seeking digital transformation in their business.
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AI technologies
AI vendor H2O.ai introduces new deep learning tool
H2O Hydrogen Torch can be used in healthcare, HR and customer experience settings. Users can make models for image, video and natural language processing applications.
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Enterprise applications of AI
Biometric technology like facial recognition is here to stay
Despite resistance, government agencies and private companies continue to use the technology. A key issue is whether people are informed about how their information will be used.