Machine learning outperforms human dermatologists in diagnosing pigmented skin lesions Becker’s Hospital ReviewState-of-the-art machine learning algorithms diagnose benign and malignant skin lesions more accurately than dermatologists, derma…
There Are No Accurate Machine Learning Models, Only Agreeable Ones ForbesHow can you improve agreement to improve a model’s accuracy?
How Bringing Machine Learning Into Marketing Improves Business Results CMSWireThree areas where machine learning will improve your marketing efforts.
NLP, Machine Learning: Killer Combo for Unstructured Data InformationWeekTo apply AI to customer *service* interactions, you need both machine learning and natural language processing, which is why demand for NLP skills are on the …
Breaking Into Machine Learning: 5 Online Courses to Help You Get Started TechopediaWant to break into machine learning? These 5 online courses are a great introduction to help you get started in ML!
Lettuce have it! Machine learning for cr-optimization Science DailyArtificial intelligence-based techniques such as machine learning is moving from being merely an exciting premise to having real-life applications, where it’s …
Cisco embeds more AI, machine learning across the network ZDNetCisco on Monday debuted a series of software enhancements designed to put AI and machine learning deeper into the network. Key features include new …
AQR’s Problem With Machine Learning: Cats Morph Into Dogs Institutional InvestorMachine learning has done magic, such as beating human chess champions. But in finance, expectations for the technology may need to come down a notch or …
As China Challenges The U.S. in AI, Big Data And Machine Learning Are Reshaping The Energy Industry ForbesMachine learning, Big Data, and automation are revolutionizing global industry – and the energy sector is no exception.
AMIA Urges FDA to Modify AI, Machine Learning Regulatory Framework Xtelligent Healthcare MediaAMIA is encouraging FDA to modify its AI and machine learning regulatory framework to include controls on cybersecurity and potential bias.
