Dimension Reduction: Preparing Marketing Data For Efficient Machine Learning CMSWireMarketers must be deliberate when adding dimensions to a machine learning model. The cost of adding too many is accuracy.
Break through: how AI and machine learning could transform construction BuildingAdvances in AI and machine learning could be about to transform the construction sector, using techniques such as image recognition and analysis to reduce …
Auto Lenders Cautiously Eye Future Use of AI, Machine Learning Ward’s AutoSAN FRANCISCO – Credit scoring is becoming increasingly digitalized, with systems doing more of the work, but the auto-financing world doesn’t appear ready …
Machine learning cuts false alarms in ICU Futurity: Research NewsMedical devices send a warning almost 700 times per ICU patient per day. Machine learning could help distinguish real problems from false alarms.
Sort by Controversial: training machine learning to sow irreparable divisions Boing BoingScott Alexander continues to delight with his works of short, sharp science fiction (previously): this time, it’s “Sort by Controversial,” a teachnolove…
Information theory holds surprises for machine learning Science DailyNew research challenges a popular conception of how machine learning algorithms ‘think’ about certain tasks.
AI, Machine Learning Jobs Among Highest Paid in Tech The Wall Street JournalArtificial-intelligence and machine-learning professionals are expected to earn some of the highest salaries for information-technology jobs in the year ahead.
Arnott, Harvey: machine learning dangerous when data thin Risk.netRob Arnott and Campbell Harvey – two of the best known experts in quant investing – have warned investors against using machine learning to derive …
Machine learning is a sweet way to tell if honey is fake Fast CompanyOne of the world’s most adulterated foods could get a new authenticity test, thanks to software that has “learned” to recognize certain grains of pollen.
Guided automation for machine learning InfoWorldImplementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform.
