Pattern recognition and machine learning
Working with pattern recognition and machine learning platforms allows organizations to extract information from big data. This core AI technology can be tricky, but extremely beneficial for enterprises. Read about machine learning best practices and techniques to uncover valuable predictive insights.
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Pattern recognition and machine learning News
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August 17, 2020
17
Aug'20
Does technology increase the problem of racism and discrimination?
According to a publication from the MIT Technology Review, technology promotes racism. Most facial recognition algorithms discriminate against the Black population. And even certain concepts or technological terminology tend to be offensive, ...
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January 06, 2020
06
Jan'20
U.S. restricts exports of geospatial AI software
The Trump administration's move to limit export of AI-based geospatial imaging software extends U.S. restrictions on technology that foreign countries could use to develop weapons systems.
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October 30, 2019
30
Oct'19
The importance of AI for fraud prevention
As fraudsters become increasingly more professional and technologically advanced, financial organizations need to rely on products that use AI for to prevent fraud.
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September 25, 2019
25
Sep'19
Cambridge Consultants demos show uses of AI
At a demo event, Cambridge Consultants highlighted some of the applications of AI with a system that can count TB cells in a sputum sample and a system that can fix image distortion.
Pattern recognition and machine learning Get Started
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Customer upselling gets upgrade from AI, analytics
The time-honored tradition of convincing buyers to make an unexpected impulse purchase combines proven sales tactics with sophisticated customer upselling technologies. Continue Reading
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predictive modeling
Predictive modeling, also called predictive analytics, is a mathematical process that seeks to predict future events or outcomes by analyzing patterns that are likely to forecast future results. Continue Reading
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A basic design pattern for image recognition
Learn how a design pattern based on convolutional neural networks can be adapted to create a visual graphics generator model for image recognition. Continue Reading
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Weigh the pros and cons of technologies, products and projects you are considering.
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Advanced upselling tactics, technologies expand bottom line
Upselling technologies that segment customers, predict buying habits, analyze emotions and target campaigns arm companies with the weapons to tap new revenue streams. Continue Reading
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15 common data science techniques to know and use
Data scientists use a variety of statistical and analytical techniques to analyze data sets. Here are 15 popular classification, regression and clustering methods. Continue Reading
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Bayesian networks applications are fueling enterprise support
Cloud-based infrastructure has opened the door for enterprises to take advantage of the versatile predictive capability of Bayesian networks technology. Continue Reading
Manage Pattern recognition and machine learning
Learn to apply best practices and optimize your operations.
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Machine learning and bias concerns weigh on data scientists
Data scientists are forever vigilant in their desire to identify and eliminate the many forms of bias that can compromise the credibility of machine learning models. Continue Reading
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Responsible AI champions human-centric machine learning
Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading
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AI in tax preparation gets a boost from classification tech
Tax filers and tax collectors are using AI tools to make the process of paying and collecting taxes simpler. The data-rich, complex processes of tax collection are an ideal use case for AI. Continue Reading
Problem Solve Pattern recognition and machine learning 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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Data science's ongoing battle to quell bias in machine learning
Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
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Brands must allay worries for AI in transportation to take hold
The personal mobility market is turning to emotional analysis and AI to negate fear and trepidation around emerging vehicle technology and the future of transportation. Continue Reading
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Collaborative robots' safety stalls enterprise implementation
Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading