List of Disruptive Companies Differentiated by Intelligent Applications Using Machine Learning - MAKE ME ANALYST
Introducing Charge 6: Fitbit's new fitness tracker
The best Fitbit watch for 2024 - Android Authority
Fitbit: Will Machine Learning Help Fitbit Change Consumer Health and Regain Leadership in Tech Wearables? - Technology and Operations Management
New study with Fitbit and Quest Diagnostics looks at wearable devices and metabolic health
Fitbit Charge 6 Fitness Tracker Offers Advanced Machine Learning
Fitbit: Will Machine Learning Help Fitbit Change Consumer Health and Regain Leadership in Tech Wearables? - Technology and Operations Management
Fitbit's Population Health and Wellness Solution: Fitbit Care
The Synergy of Fitbit Device Integration: Enhancing Health Monitoring with Mobile and Web Applications
Fitbit Charge 5 | Privacy & security guide | Mozilla Foundation
Device Connect | Google Cloud
FitBit and Google launch new cloud tools to help hospitals harness data | Fierce Healthcare
Comparison chart between the machine learning predictor (using Fitbit... | Download Scientific Diagram
Amazon.com: Fitbit Charge 6 Fitness Tracker with Google apps, Heart Rate on Exercise Equipment, 6-Months Premium Membership Included, GPS, Health Tools and More, Obsidian/Black, One Size (S & L Bands Included) :
Integrate the Fitbit stream with Machine Learning to predict user activity | by Gang Liu | Streamr | Medium
Fitbit Sense: Feeling stressed? This fitness tracker can tell - CNET
Why 2017 is Fitbit's year of machine learning - The Signal
Fitbit Unveils Charge 6: Enhanced Health Tracking, Improved Connectivity, and New Google Integration - techcoffeehouse.com
Device Connect for Fitbit, powered by Google Cloud | Google Cloud Blog
Fitbit Charge 5 review: a great gift for the biohacker in your life | Mashable
GitHub - dwadh/FitBit-dataset: Using Machine Learning for classification of errors in the FitBit dataset (Python)
GitHub - quaesito/ml-fitbit: A thorough analysis of opensource Fitbit data is performed. The key findings are highlighted and discussed. The analysis provided herein is performed using 940 data points collected from 33
Google's New Plan to Make Fitbit Data More Useful for Healthcare|Health Tech Insider
Frontiers | A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers
Sensors | Free Full-Text | Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor
