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Do not underestimate the power of 'move more and sit less' guideline, speaker says

Do not underestimate the power of 'move more and sit less' guideline, speaker says
healio.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from healio.com Daily Mail and Mail on Sunday newspapers.

United States , Green Mountain , Carolynn Francavilla Brown , National Weight Control Registry , Green Mountain Partners For Health , Physical Activity Guidelines , Francavilla Brown , Green Mountain Partners , Obesity Medicine ,

Weight Loss Health Benefits Start Sooner Than You May Think

If you’re looking to lose weight for health benefits, you may not need as much weight loss as you think. Read about the benefits of modest weight loss. ....

Melanie Jay , David Sarwer , Temple University , National Diabetes Prevention Program , National Weight Control Registry , York University , Obesity Research , New York ,

Omada GLP-1 program to prioritize muscle mass restoration

Omada GLP-1 program to prioritize muscle mass restoration
fiercehealthcare.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from fiercehealthcare.com Daily Mail and Mail on Sunday newspapers.

North Carolina , United States , Carolyn Jasik , Elina Onitskansky , Wei Li Shao , National Weight Control Registry , Epic Research , Illant Health , Omada Health , Carolina State Health Plan , Virta Health , Omada Chief Medical Officer Carolyn Jasik , National Weight Control , Omada President Wei Li , North Carolina State Health Plan , Fierce Healthcare ,

Machine Learning Basics for Hotel and Correlation versus Causation Modeling

There are many definitions of machine learning (ML). For purposes of this explainer, ML is the scientific study of algorithms and statistical models that computer systems automatically use in real-time to effectively perform a specific objective function (such as optimizing revenue) without using explicit instructions. Instead, ML relies on patterns and inference. All this is performed using a feedback loop so that each successive iteration further increases precision of the models, which drives and improves the objective function.
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